Methodology for integrating flexibility into realistic large-scale distribution network planning using Tabu search
•The Tabu Search meta-heuristic is applied for realistic large-scale distribution network planning.•Tabu Search can find the trade-off between conventional reinforcements and demand response.•Tabu Search efficiently guides the search, reducing the large search space.•Flexibility allows efficient int...
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| Published in: | International journal of electrical power & energy systems Vol. 152; p. 109201 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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01.10.2023
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| ISSN: | 0142-0615, 1879-3517 |
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| Abstract | •The Tabu Search meta-heuristic is applied for realistic large-scale distribution network planning.•Tabu Search can find the trade-off between conventional reinforcements and demand response.•Tabu Search efficiently guides the search, reducing the large search space.•Flexibility allows efficient integration of electric vehicles in a realistic large-scale city.
A successful energy transition will be firmly based on the effective integration of distributed energy resources and on the integration of new flexibility providers into the energy system. To make this possible, a deep transformation in the design, operation and planning of power distribution systems is required. Currently, a lack of comprehensive planning tools capable of supporting operators in their investment plan options exists. As a result, reinforcements of conventional grid assets are common solutions put in place. This paper proposes a methodology to obtain cost-optimal distribution network expansion plans, by modelling a single-stage distribution network planning tool, using conventional assets as well as flexibility contracting from demand response. A Tabu Search metaheuristic has been implemented in order to solve the optimization problem. A case study based on a realistic large-scale city network model is presented, for a planning horizon of ten years with significant load growth due to electromobility penetration. Results show that, in the case study analysed, the use of load flexibility in combination with conventional reinforcements can reduce the total expansion network cost by about 7.5 %. Furthermore, a sensitivity analysis on the cost of flexibility contracting is undertaken. Remarkably, the methodology presented generalises to further alternative solutions by providing a straightforward financial benchmark between the latter and conventional grid expansion. |
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| AbstractList | •The Tabu Search meta-heuristic is applied for realistic large-scale distribution network planning.•Tabu Search can find the trade-off between conventional reinforcements and demand response.•Tabu Search efficiently guides the search, reducing the large search space.•Flexibility allows efficient integration of electric vehicles in a realistic large-scale city.
A successful energy transition will be firmly based on the effective integration of distributed energy resources and on the integration of new flexibility providers into the energy system. To make this possible, a deep transformation in the design, operation and planning of power distribution systems is required. Currently, a lack of comprehensive planning tools capable of supporting operators in their investment plan options exists. As a result, reinforcements of conventional grid assets are common solutions put in place. This paper proposes a methodology to obtain cost-optimal distribution network expansion plans, by modelling a single-stage distribution network planning tool, using conventional assets as well as flexibility contracting from demand response. A Tabu Search metaheuristic has been implemented in order to solve the optimization problem. A case study based on a realistic large-scale city network model is presented, for a planning horizon of ten years with significant load growth due to electromobility penetration. Results show that, in the case study analysed, the use of load flexibility in combination with conventional reinforcements can reduce the total expansion network cost by about 7.5 %. Furthermore, a sensitivity analysis on the cost of flexibility contracting is undertaken. Remarkably, the methodology presented generalises to further alternative solutions by providing a straightforward financial benchmark between the latter and conventional grid expansion. |
| ArticleNumber | 109201 |
| Author | Ziegler, David U Prettico, Giuseppe Mateo, Carlos Gómez San Román, Tomás |
| Author_xml | – sequence: 1 givenname: David U orcidid: 0000-0003-3550-9627 surname: Ziegler fullname: Ziegler, David U email: david.ziegler@ec.europa.eu organization: European Commission - Joint Research Centre, 21027 Ispra, VA, Italy – sequence: 2 givenname: Giuseppe surname: Prettico fullname: Prettico, Giuseppe organization: European Commission - Joint Research Centre, 21027 Ispra, VA, Italy – sequence: 3 givenname: Carlos orcidid: 0000-0001-9400-8502 surname: Mateo fullname: Mateo, Carlos organization: Institute for Research in Technology, ICAI, Comillas Pontifical University, 28015 Madrid, Spain – sequence: 4 givenname: Tomás surname: Gómez San Román fullname: Gómez San Román, Tomás organization: Institute for Research in Technology, ICAI, Comillas Pontifical University, 28015 Madrid, Spain |
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| Cites_doi | 10.1007/s12667-012-0073-x 10.3390/en10111896 10.1109/TSG.2016.2591586 10.1007/s12667-018-0276-x 10.3390/en13030641 10.1016/j.epsr.2016.08.016 10.1109/PSCE.2009.4839997 10.1016/j.epsr.2020.106665 10.1049/iet-gtd.2015.0411 10.1016/j.ijepes.2015.11.081 10.1016/j.ijepes.2019.105445 10.1109/PESMG.2013.6672615 10.1109/TPWRS.2017.2699696 10.1080/15325008.2016.1156194 10.1016/j.asoc.2010.09.002 10.1109/59.49096 10.1109/59.331452 10.1049/ip-c.1993.0004 10.1109/TPWRS.2018.2829021 10.1016/j.ijepes.2020.106076 10.1016/0305-0548(86)90048-1 10.1016/j.epsr.2016.12.016 10.1016/j.rser.2015.07.004 10.1016/j.ijepes.2018.01.027 10.1016/j.ijepes.2011.12.009 10.1109/PESGM.2016.7741538 10.1016/j.energy.2015.12.070 10.1016/j.energy.2015.06.078 10.1016/j.enconman.2015.08.055 10.1109/TPWRS.2010.2052077 10.1016/j.ijepes.2019.105451 10.1109/61.57995 10.1007/978-3-319-91086-4 10.1016/j.enpol.2013.05.083 10.1016/j.epsr.2014.12.010 |
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| Keywords | Demand response Active distribution network Distribution network planning Tabu search algorithm Realistic model |
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| References | Quintana, Temraz, Hipel (b0060) Jan. 1993; 140 Mulenga, Bollen, Etherden (b0025) Feb. 2020; 115 Koutsoukis, Georgilakis, Hatziargyriou (b0170) Jan. 2018; 33 C. Mateo E. Haesen, A. D. Alarcon-Rodriguez, J. Driesen, R. Belmans, and G. Ault, Opportunities for active DER management in deferral of distribution system reinforcements, in Miranda, Ranito, Proenca (b0080) Nov. 1994; 9 Flexibility harvesting and its impact on TSO-DSO interaction. S. Karagiannopoulos, P. Aristidou, A. Ulbig, S. Koch, and G. Hug, “Optimal planning of distribution grids considering active power curtailment and reactive power control,” in Talbi (b0065) 2009 vol. 272. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-319-91086-4. Mateo Domingo, Gomez San Roman, Sanchez-Miralles, Peco Gonzalez, Candela Martinez (b0265) 2011; 26 Han, Sossan, Bindner, You, Hansen, Cajar (b0010) Oct. 2014 Connecting the dots: Distribution grid investment to power the energy transition, Eurelectric, EDSO, Monitor Deloitte, Jan. 2021. Laguna (b0205) 2018 Ganguly, Sahoo, Das (b0035) Jun. 2013; 4 Mateo, Prettico, Gómez, Cossent, Gangale, Frías (b0260) 2018; 99 IEC - TC 69, IEC 61851-1:2017. IEC, Feb. 07, 2017. Mar. 2009, pp. 1–8. doi: 10.1109/PSCE.2009.4839997. Mateo (b0255) 2022 Resener, Haffner, Pereira, Pardalos (b0050) Aug. 2018; 9 Linares, Rey (b0225) Oct. 2013; 61 UKPN, “Flexibility Services - Procurement February 2021: Appendix 6 - revenue ranges.” 2021. Accessed: Sep. 02, 2022. [Online]. Available: https://smartgrid.ukpowernetworks.co.uk/flexibility-hub/. Fitiwi, de Cuadra, Olmos, Rivier (b0030) Oct. 2015; 90 acatech, Zentrale und dezentrale Elemente im Energiesystem, acatech – Deutsche Akademie der Technikwissenschaften e.V., Stellungnahme, Jan. 2020. Accessed: Feb. 24, 2020. [Online]. Available: https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Stellungnahme_zentral_dezentral.pdf. RED ELÉCTRICA DE ESPAÑA, “The spanish electricity system report 2019,” p. 94, Apr. 2020. M. Gendreau and J.-Y. Potvin, Eds. Palmintier, Elgindy, Mateo, Postigo, Gómez, de Cuadra (b0135) 2021; 190 González, Echavarren, Rouco, Gómez, Cabetas (b0120) May 2012; 37 Hsu, Chen (b0075) Jul. 1990; 5 Abdi-Siab, Lesani (b0145) Oct. 2020; 121 SP Energy Networks, “C31E Procurement and Use of Distribution Flexibility Services Annual Report - Supporting Data,” 2022. Accessed: Sep. 02, 2022. [Online]. Available: https://www.spenergynetworks.co.uk/pages/flexibility.aspx. Shen, Shahidehpour, Zhu, Han, Zheng (b0180) Mar. 2018; 9 Hoffmann, Kotzur, Stolten, Robinius (b0005) Jan. 2020; 13 Xing, Cheng, Zhang, Zeng (b0190) 2016; 10 Héliodore, Nakib, Ismail, Ouchraa, Schmitt, Ouchraa (b0105) 2017 Glover (b0085) Jan. 1986; 13 Thurner, Scheidler, Schafer, Menke, Dollichon, Meier (b0200) 2018; 33 2019. [Online]. Available: https://www.boe.es/diario_boe/txt.php?id=BOE-A-2019-18261. Zeng, Wen, Shi, Zhang, Zhang (b0195) Feb. 2016; 96 OMIE, “Evolution of the electricity market - annual report 2019.” Dec. 31, 2019. V. Camargo, M. Lavorato, and R. Romero, Specialized genetic algorithm to solve the electrical distribution system expansion planning, in Ganguly, Sahoo, Das (b0100) Mar. 2011; 11 Arasteh, Sepasian, Vahidinasab, Siano (b0150) Dec. 2016; 141 Xiang, Liu, Li, Liu, Liu, Xu (b0055) 2016; 44 Postigo Marcos, Mateo Domingo, Gómez San Román, Palmintier, Hodge, Krishnan (b0125) Nov. 2017; 10 Jul. 2013, pp. 1–5. doi: 10.1109/PESMG.2013.6672615. Saboori, Hemmati, Abbasi (b0175) Nov. 2015; 105 2015. Building Large-Scale U.S. Synthetic Electric Distribution System Models, p. 8. Georgilakis, Hatziargyriou (b0040) Apr. 2015; 121 Comisión Nacional de los Mercados y la Competencia E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: Improving the strength pareto evolutionary algorithm,” ETH Zurich, Report, May 2001. doi: 10.3929/ethz-a-004284029. Bin Humayd, Bhattacharya (b0155) 2017; 145 B. Herndler Pirim, Bayraktar, Eksioglu (b0210) 2008 Castro, Saad, Lefebvre, Asber, Lenoir (b0020) Jun. 2016; 78 Ministerio de Industria, Energía y Turismo Xie, Hu, Yang, Wang (b0185) Feb. 2020; 115 Jordehi (b0045) Nov. 2015; 51 Aoki, Nara, Satoh, Kitagawa, Yamanaka (b0070) Feb. 1990; 5 OMIE, “Main results of the electricity market 2021.” Dec. 31, 2021. Boston, MA, USA, Jul. 2016, pp. 1–5. doi: 10.1109/PESGM.2016.7741538. G. Celli, F. Pilo, G. Pisano, and G. G. Soma, Optimal planning of active networks, presented at the 16th Power Systems Computation Conference, PSCC 2008, 2008. Xiang (10.1016/j.ijepes.2023.109201_b0055) 2016; 44 10.1016/j.ijepes.2023.109201_b0245 10.1016/j.ijepes.2023.109201_b0240 10.1016/j.ijepes.2023.109201_b0165 Mulenga (10.1016/j.ijepes.2023.109201_b0025) 2020; 115 Han (10.1016/j.ijepes.2023.109201_b0010) 2014 10.1016/j.ijepes.2023.109201_b0160 Mateo (10.1016/j.ijepes.2023.109201_b0255) 2022 Saboori (10.1016/j.ijepes.2023.109201_b0175) 2015; 105 Quintana (10.1016/j.ijepes.2023.109201_b0060) 1993; 140 Mateo Domingo (10.1016/j.ijepes.2023.109201_b0265) 2011; 26 Ganguly (10.1016/j.ijepes.2023.109201_b0100) 2011; 11 Castro (10.1016/j.ijepes.2023.109201_b0020) 2016; 78 Pirim (10.1016/j.ijepes.2023.109201_b0210) 2008 Abdi-Siab (10.1016/j.ijepes.2023.109201_b0145) 2020; 121 10.1016/j.ijepes.2023.109201_b0215 Miranda (10.1016/j.ijepes.2023.109201_b0080) 1994; 9 10.1016/j.ijepes.2023.109201_b0015 Hsu (10.1016/j.ijepes.2023.109201_b0075) 1990; 5 Héliodore (10.1016/j.ijepes.2023.109201_b0105) 2017 10.1016/j.ijepes.2023.109201_b0130 Arasteh (10.1016/j.ijepes.2023.109201_b0150) 2016; 141 10.1016/j.ijepes.2023.109201_b0250 Palmintier (10.1016/j.ijepes.2023.109201_b0135) 2021; 190 Talbi (10.1016/j.ijepes.2023.109201_b0065) 2009 10.1016/j.ijepes.2023.109201_b0095 Xing (10.1016/j.ijepes.2023.109201_b0190) 2016; 10 10.1016/j.ijepes.2023.109201_b0090 Postigo Marcos (10.1016/j.ijepes.2023.109201_b0125) 2017; 10 Thurner (10.1016/j.ijepes.2023.109201_b0200) 2018; 33 Mateo (10.1016/j.ijepes.2023.109201_b0260) 2018; 99 Ganguly (10.1016/j.ijepes.2023.109201_b0035) 2013; 4 Zeng (10.1016/j.ijepes.2023.109201_b0195) 2016; 96 10.1016/j.ijepes.2023.109201_b0140 10.1016/j.ijepes.2023.109201_b0220 Xie (10.1016/j.ijepes.2023.109201_b0185) 2020; 115 Bin Humayd (10.1016/j.ijepes.2023.109201_b0155) 2017; 145 González (10.1016/j.ijepes.2023.109201_b0120) 2012; 37 Fitiwi (10.1016/j.ijepes.2023.109201_b0030) 2015; 90 Jordehi (10.1016/j.ijepes.2023.109201_b0045) 2015; 51 Aoki (10.1016/j.ijepes.2023.109201_b0070) 1990; 5 Laguna (10.1016/j.ijepes.2023.109201_b0205) 2018 10.1016/j.ijepes.2023.109201_b0115 Glover (10.1016/j.ijepes.2023.109201_b0085) 1986; 13 Koutsoukis (10.1016/j.ijepes.2023.109201_b0170) 2018; 33 10.1016/j.ijepes.2023.109201_b0235 10.1016/j.ijepes.2023.109201_b0110 10.1016/j.ijepes.2023.109201_b0275 10.1016/j.ijepes.2023.109201_b0230 10.1016/j.ijepes.2023.109201_b0270 Resener (10.1016/j.ijepes.2023.109201_b0050) 2018; 9 Shen (10.1016/j.ijepes.2023.109201_b0180) 2018; 9 Hoffmann (10.1016/j.ijepes.2023.109201_b0005) 2020; 13 Linares (10.1016/j.ijepes.2023.109201_b0225) 2013; 61 Georgilakis (10.1016/j.ijepes.2023.109201_b0040) 2015; 121 |
| References_xml | – volume: 141 start-page: 392 year: Dec. 2016 end-page: 406 ident: b0150 article-title: SoS-based multiobjective distribution system expansion planning publication-title: Electr Power Syst Res – reference: , Jul. 2013, pp. 1–5. doi: 10.1109/PESMG.2013.6672615. – volume: 44 start-page: 1075 year: 2016 end-page: 1094 ident: b0055 article-title: Optimal Active Distribution Network Planning: A Review publication-title: Electr Power Compon Syst – volume: 10 start-page: 638 year: 2016 end-page: 644 ident: b0190 article-title: Active distribution network expansion planning integrating dispersed energy storage systems publication-title: Transm Distrib IET Gener – year: 2008 ident: b0210 article-title: Tabu Search – reference: UKPN, “Flexibility Services - Procurement February 2021: Appendix 6 - revenue ranges.” 2021. Accessed: Sep. 02, 2022. [Online]. Available: https://smartgrid.ukpowernetworks.co.uk/flexibility-hub/. – reference: Ministerio de Industria, Energía y Turismo, – volume: 140 start-page: 17 year: Jan. 1993 end-page: 29 ident: b0060 article-title: Two-stage power system distribution planning algorithm publication-title: IEE Proc C Gener Transm Distrib – year: 2022 ident: b0255 article-title: An urban synthetic electricity distribution network from Spain, first version publication-title: Zenodo – volume: 37 start-page: 86 year: May 2012 end-page: 94 ident: b0120 article-title: Reconfiguration of large-scale distribution networks for planning studies publication-title: Int J Electr Power Energy Syst – reference: E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: Improving the strength pareto evolutionary algorithm,” ETH Zurich, Report, May 2001. doi: 10.3929/ethz-a-004284029. – volume: 115 year: Feb. 2020 ident: b0185 article-title: Expansion planning of active distribution system considering multiple active network managements and the optimal load-shedding direction publication-title: Int J Electr Power Energy Syst – volume: 115 year: Feb. 2020 ident: b0025 article-title: A review of hosting capacity quantification methods for photovoltaics in low-voltage distribution grids publication-title: Int J Electr Power Energy Syst – reference: , vol. 272. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-319-91086-4. – volume: 190 start-page: 106665 year: 2021 ident: b0135 article-title: Experiences developing large-scale synthetic U.S.-style distribution test systems publication-title: Electr Power Syst Res – reference: . 2019. [Online]. Available: https://www.boe.es/diario_boe/txt.php?id=BOE-A-2019-18261. – reference: . 2015. – volume: 5 start-page: 126 year: Feb. 1990 end-page: 132 ident: b0070 article-title: New approximate optimization method for distribution system planning publication-title: IEEE Trans Power Syst – start-page: 741 year: 2018 end-page: 758 ident: b0205 publication-title: Handbook of Heuristics – volume: 78 start-page: 239 year: Jun. 2016 end-page: 247 ident: b0020 article-title: Optimal voltage control in distribution network in the presence of DGs publication-title: Int J Electr Power Energy Syst – volume: 90 start-page: 1360 year: Oct. 2015 end-page: 1376 ident: b0030 article-title: A new approach of clustering operational states for power network expansion planning problems dealing with RES (renewable energy source) generation operational variability and uncertainty publication-title: Energy – volume: 13 start-page: 533 year: Jan. 1986 end-page: 549 ident: b0085 article-title: Future paths for integer programming and links to artificial intelligence publication-title: Comput Oper Res – reference: , Boston, MA, USA, Jul. 2016, pp. 1–5. doi: 10.1109/PESGM.2016.7741538. – reference: , Flexibility harvesting and its impact on TSO-DSO interaction. – reference: RED ELÉCTRICA DE ESPAÑA, “The spanish electricity system report 2019,” p. 94, Apr. 2020. – reference: V. Camargo, M. Lavorato, and R. Romero, Specialized genetic algorithm to solve the electrical distribution system expansion planning, in – reference: SP Energy Networks, “C31E Procurement and Use of Distribution Flexibility Services Annual Report - Supporting Data,” 2022. Accessed: Sep. 02, 2022. [Online]. Available: https://www.spenergynetworks.co.uk/pages/flexibility.aspx. – reference: M. Gendreau and J.-Y. Potvin, Eds., – year: 2017 ident: b0105 article-title: Metaheuristics for Intelligent Electrical Networks – volume: 145 start-page: 1 year: 2017 end-page: 11 ident: b0155 article-title: Distribution system planning to accommodate distributed energy resources and PEVs publication-title: Electr Power Syst Res – reference: Comisión Nacional de los Mercados y la Competencia, – reference: E. Haesen, A. D. Alarcon-Rodriguez, J. Driesen, R. Belmans, and G. Ault, Opportunities for active DER management in deferral of distribution system reinforcements, in – volume: 61 start-page: 751 year: Oct. 2013 end-page: 760 ident: b0225 article-title: The costs of electricity interruptions in Spain. Are we sending the right signals? publication-title: Energy Policy – volume: 33 start-page: 32 year: Jan. 2018 end-page: 44 ident: b0170 article-title: Multistage Coordinated Planning of Active Distribution Networks publication-title: IEEE Trans Power Syst – volume: 10 start-page: 1896 year: Nov. 2017 ident: b0125 article-title: A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks publication-title: Energies – reference: , Building Large-Scale U.S. Synthetic Electric Distribution System Models, p. 8. – volume: 26 start-page: 190 year: 2011 end-page: 197 ident: b0265 article-title: A Reference Network Model for Large-Scale Distribution Planning With Automatic Street Map Generation publication-title: IEEE Trans Power Syst – volume: 4 start-page: 165 year: Jun. 2013 end-page: 193 ident: b0035 article-title: Recent advances on power distribution system planning: a state-of-the-art survey publication-title: Energy Syst – volume: 9 start-page: 1425 year: Mar. 2018 end-page: 1433 ident: b0180 article-title: Multi-Stage Planning of Active Distribution Networks Considering the Co-Optimization of Operation Strategies publication-title: IEEE Trans Smart Grid – reference: OMIE, “Main results of the electricity market 2021.” Dec. 31, 2021. – volume: 5 start-page: 1514 year: Jul. 1990 end-page: 1519 ident: b0075 article-title: Distribution planning using a knowledge-based expert system publication-title: IEEE Trans Power Deliv – volume: 13 start-page: 641 year: Jan. 2020 ident: b0005 article-title: A Review on Time Series Aggregation Methods for Energy System Models publication-title: Energies – volume: 96 start-page: 614 year: Feb. 2016 end-page: 624 ident: b0195 article-title: A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment publication-title: Energy – reference: IEC - TC 69, IEC 61851-1:2017. IEC, Feb. 07, 2017. – reference: OMIE, “Evolution of the electricity market - annual report 2019.” Dec. 31, 2019. – volume: 33 start-page: 6510 year: 2018 end-page: 6521 ident: b0200 article-title: pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems publication-title: IEEE Trans Power Syst – reference: C. Mateo – volume: 121 start-page: 89 year: Apr. 2015 end-page: 100 ident: b0040 article-title: A review of power distribution planning in the modern power systems era: Models, methods and future research publication-title: Electr Power Syst Res – year: 2009 ident: b0065 article-title: Metaheuristics: From Design to Implementation – volume: 105 start-page: 938 year: Nov. 2015 end-page: 945 ident: b0175 article-title: Multistage distribution network expansion planning considering the emerging energy storage systems publication-title: Energy Convers Manag – reference: G. Celli, F. Pilo, G. Pisano, and G. G. Soma, Optimal planning of active networks, presented at the 16th Power Systems Computation Conference, PSCC 2008, 2008. – volume: 51 start-page: 1088 year: Nov. 2015 end-page: 1100 ident: b0045 article-title: Optimisation of electric distribution systems: A review publication-title: Renew Sustain Energy Rev – volume: 9 start-page: 1927 year: Nov. 1994 end-page: 1933 ident: b0080 article-title: Genetic algorithms in optimal multistage distribution network planning publication-title: IEEE Trans Power Syst – volume: 11 start-page: 2391 year: Mar. 2011 end-page: 2405 ident: b0100 article-title: Mono- and multi-objective planning of electrical distribution networks using particle swarm optimization publication-title: Appl Soft Comput – reference: B. Herndler – volume: 121 year: Oct. 2020 ident: b0145 article-title: Distribution expansion planning in the presence of plug-in electric vehicle: A bilevel optimization approach publication-title: Int J Electr Power Energy Syst – volume: 9 start-page: 473 year: Aug. 2018 end-page: 509 ident: b0050 article-title: Optimization techniques applied to planning of electric power distribution systems: a bibliographic survey publication-title: Energy Syst – volume: 99 start-page: 273 year: 2018 end-page: 280 ident: b0260 article-title: European representative electricity distribution networks publication-title: Int J Electr Power Energy Syst – reference: S. Karagiannopoulos, P. Aristidou, A. Ulbig, S. Koch, and G. Hug, “Optimal planning of distribution grids considering active power curtailment and reactive power control,” in – reference: Connecting the dots: Distribution grid investment to power the energy transition, Eurelectric, EDSO, Monitor Deloitte, Jan. 2021. – start-page: 1 year: Oct. 2014 end-page: 6 ident: b0010 article-title: Load kick-back effects due to activation of demand response in view of distribution grid operation publication-title: IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey – reference: acatech, Zentrale und dezentrale Elemente im Energiesystem, acatech – Deutsche Akademie der Technikwissenschaften e.V., Stellungnahme, Jan. 2020. Accessed: Feb. 24, 2020. [Online]. Available: https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Stellungnahme_zentral_dezentral.pdf. – reference: , Mar. 2009, pp. 1–8. doi: 10.1109/PSCE.2009.4839997. – volume: 4 start-page: 165 issue: 2 year: 2013 ident: 10.1016/j.ijepes.2023.109201_b0035 article-title: Recent advances on power distribution system planning: a state-of-the-art survey publication-title: Energy Syst doi: 10.1007/s12667-012-0073-x – ident: 10.1016/j.ijepes.2023.109201_b0115 – volume: 10 start-page: 1896 issue: 11 year: 2017 ident: 10.1016/j.ijepes.2023.109201_b0125 article-title: A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks publication-title: Energies doi: 10.3390/en10111896 – ident: 10.1016/j.ijepes.2023.109201_b0140 – volume: 9 start-page: 1425 issue: 2 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0180 article-title: Multi-Stage Planning of Active Distribution Networks Considering the Co-Optimization of Operation Strategies publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2016.2591586 – volume: 9 start-page: 473 issue: 3 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0050 article-title: Optimization techniques applied to planning of electric power distribution systems: a bibliographic survey publication-title: Energy Syst doi: 10.1007/s12667-018-0276-x – ident: 10.1016/j.ijepes.2023.109201_b0220 – volume: 13 start-page: 641 issue: 3 year: 2020 ident: 10.1016/j.ijepes.2023.109201_b0005 article-title: A Review on Time Series Aggregation Methods for Energy System Models publication-title: Energies doi: 10.3390/en13030641 – volume: 141 start-page: 392 year: 2016 ident: 10.1016/j.ijepes.2023.109201_b0150 article-title: SoS-based multiobjective distribution system expansion planning publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2016.08.016 – ident: 10.1016/j.ijepes.2023.109201_b0110 doi: 10.1109/PSCE.2009.4839997 – volume: 190 start-page: 106665 year: 2021 ident: 10.1016/j.ijepes.2023.109201_b0135 article-title: Experiences developing large-scale synthetic U.S.-style distribution test systems publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2020.106665 – ident: 10.1016/j.ijepes.2023.109201_b0130 – volume: 10 start-page: 638 issue: 3 year: 2016 ident: 10.1016/j.ijepes.2023.109201_b0190 article-title: Active distribution network expansion planning integrating dispersed energy storage systems publication-title: Transm Distrib IET Gener doi: 10.1049/iet-gtd.2015.0411 – start-page: 741 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0205 – year: 2022 ident: 10.1016/j.ijepes.2023.109201_b0255 article-title: An urban synthetic electricity distribution network from Spain, first version publication-title: Zenodo – volume: 78 start-page: 239 year: 2016 ident: 10.1016/j.ijepes.2023.109201_b0020 article-title: Optimal voltage control in distribution network in the presence of DGs publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2015.11.081 – ident: 10.1016/j.ijepes.2023.109201_b0160 – volume: 115 year: 2020 ident: 10.1016/j.ijepes.2023.109201_b0025 article-title: A review of hosting capacity quantification methods for photovoltaics in low-voltage distribution grids publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2019.105445 – ident: 10.1016/j.ijepes.2023.109201_b0095 doi: 10.1109/PESMG.2013.6672615 – ident: 10.1016/j.ijepes.2023.109201_b0215 – volume: 33 start-page: 32 issue: 1 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0170 article-title: Multistage Coordinated Planning of Active Distribution Networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2699696 – volume: 44 start-page: 1075 issue: 10 year: 2016 ident: 10.1016/j.ijepes.2023.109201_b0055 article-title: Optimal Active Distribution Network Planning: A Review publication-title: Electr Power Compon Syst doi: 10.1080/15325008.2016.1156194 – volume: 11 start-page: 2391 issue: 2 year: 2011 ident: 10.1016/j.ijepes.2023.109201_b0100 article-title: Mono- and multi-objective planning of electrical distribution networks using particle swarm optimization publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2010.09.002 – volume: 5 start-page: 126 issue: 1 year: 1990 ident: 10.1016/j.ijepes.2023.109201_b0070 article-title: New approximate optimization method for distribution system planning publication-title: IEEE Trans Power Syst doi: 10.1109/59.49096 – ident: 10.1016/j.ijepes.2023.109201_b0245 – ident: 10.1016/j.ijepes.2023.109201_b0270 – volume: 9 start-page: 1927 issue: 4 year: 1994 ident: 10.1016/j.ijepes.2023.109201_b0080 article-title: Genetic algorithms in optimal multistage distribution network planning publication-title: IEEE Trans Power Syst doi: 10.1109/59.331452 – volume: 140 start-page: 17 issue: 1 year: 1993 ident: 10.1016/j.ijepes.2023.109201_b0060 article-title: Two-stage power system distribution planning algorithm publication-title: IEE Proc C Gener Transm Distrib doi: 10.1049/ip-c.1993.0004 – volume: 33 start-page: 6510 issue: 6 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0200 article-title: pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2018.2829021 – volume: 121 year: 2020 ident: 10.1016/j.ijepes.2023.109201_b0145 article-title: Distribution expansion planning in the presence of plug-in electric vehicle: A bilevel optimization approach publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2020.106076 – volume: 13 start-page: 533 issue: 5 year: 1986 ident: 10.1016/j.ijepes.2023.109201_b0085 article-title: Future paths for integer programming and links to artificial intelligence publication-title: Comput Oper Res doi: 10.1016/0305-0548(86)90048-1 – volume: 145 start-page: 1 year: 2017 ident: 10.1016/j.ijepes.2023.109201_b0155 article-title: Distribution system planning to accommodate distributed energy resources and PEVs publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2016.12.016 – volume: 51 start-page: 1088 year: 2015 ident: 10.1016/j.ijepes.2023.109201_b0045 article-title: Optimisation of electric distribution systems: A review publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2015.07.004 – volume: 99 start-page: 273 year: 2018 ident: 10.1016/j.ijepes.2023.109201_b0260 article-title: European representative electricity distribution networks publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2018.01.027 – volume: 37 start-page: 86 issue: 1 year: 2012 ident: 10.1016/j.ijepes.2023.109201_b0120 article-title: Reconfiguration of large-scale distribution networks for planning studies publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2011.12.009 – ident: 10.1016/j.ijepes.2023.109201_b0235 – year: 2009 ident: 10.1016/j.ijepes.2023.109201_b0065 – ident: 10.1016/j.ijepes.2023.109201_b0165 doi: 10.1109/PESGM.2016.7741538 – start-page: 1 year: 2014 ident: 10.1016/j.ijepes.2023.109201_b0010 article-title: Load kick-back effects due to activation of demand response in view of distribution grid operation publication-title: IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey – volume: 96 start-page: 614 year: 2016 ident: 10.1016/j.ijepes.2023.109201_b0195 article-title: A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment publication-title: Energy doi: 10.1016/j.energy.2015.12.070 – year: 2017 ident: 10.1016/j.ijepes.2023.109201_b0105 – volume: 90 start-page: 1360 year: 2015 ident: 10.1016/j.ijepes.2023.109201_b0030 article-title: A new approach of clustering operational states for power network expansion planning problems dealing with RES (renewable energy source) generation operational variability and uncertainty publication-title: Energy doi: 10.1016/j.energy.2015.06.078 – volume: 105 start-page: 938 year: 2015 ident: 10.1016/j.ijepes.2023.109201_b0175 article-title: Multistage distribution network expansion planning considering the emerging energy storage systems publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2015.08.055 – year: 2008 ident: 10.1016/j.ijepes.2023.109201_b0210 – volume: 26 start-page: 190 issue: 1 year: 2011 ident: 10.1016/j.ijepes.2023.109201_b0265 article-title: A Reference Network Model for Large-Scale Distribution Planning With Automatic Street Map Generation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2010.2052077 – volume: 115 year: 2020 ident: 10.1016/j.ijepes.2023.109201_b0185 article-title: Expansion planning of active distribution system considering multiple active network managements and the optimal load-shedding direction publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2019.105451 – ident: 10.1016/j.ijepes.2023.109201_b0250 – ident: 10.1016/j.ijepes.2023.109201_b0275 – ident: 10.1016/j.ijepes.2023.109201_b0015 – volume: 5 start-page: 1514 issue: 3 year: 1990 ident: 10.1016/j.ijepes.2023.109201_b0075 article-title: Distribution planning using a knowledge-based expert system publication-title: IEEE Trans Power Deliv doi: 10.1109/61.57995 – ident: 10.1016/j.ijepes.2023.109201_b0090 doi: 10.1007/978-3-319-91086-4 – ident: 10.1016/j.ijepes.2023.109201_b0230 – ident: 10.1016/j.ijepes.2023.109201_b0240 – volume: 61 start-page: 751 year: 2013 ident: 10.1016/j.ijepes.2023.109201_b0225 article-title: The costs of electricity interruptions in Spain. Are we sending the right signals? publication-title: Energy Policy doi: 10.1016/j.enpol.2013.05.083 – volume: 121 start-page: 89 year: 2015 ident: 10.1016/j.ijepes.2023.109201_b0040 article-title: A review of power distribution planning in the modern power systems era: Models, methods and future research publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2014.12.010 |
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