Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty
Renewable energy integration has been recently promoted by many countries as a cleaner alternative to fossil fuels. In many research works, the optimal allocation of distributed generations (DGs) has been modeled mathematically as a DG injecting power without considering its intermittent nature. In...
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| Vydané v: | Mathematics (Basel) Ročník 9; číslo 1; s. 26 |
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01.01.2021
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| Abstract | Renewable energy integration has been recently promoted by many countries as a cleaner alternative to fossil fuels. In many research works, the optimal allocation of distributed generations (DGs) has been modeled mathematically as a DG injecting power without considering its intermittent nature. In this work, a novel probabilistic bilevel multi-objective nonlinear programming optimization problem is formulated to maximize the penetration of renewable distributed generations via distribution network reconfiguration while ensuring the thermal line and voltage limits. Moreover, solar, wind, and load uncertainties are considered in this paper to provide a more realistic mathematical programming model for the optimization problem under study. Case studies are conducted on the 16-, 59-, 69-, 83-, 415-, and 880-node distribution networks, where the 59- and 83-node distribution networks are real distribution networks in Cairo and Taiwan, respectively. The obtained results validate the effectiveness of the proposed optimization approach in maximizing the hosting capacity of DGs and power loss reduction by greater than 17% and 74%, respectively, for the studied distribution networks. |
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| AbstractList | Renewable energy integration has been recently promoted by many countries as a cleaner alternative to fossil fuels. In many research works, the optimal allocation of distributed generations (DGs) has been modeled mathematically as a DG injecting power without considering its intermittent nature. In this work, a novel probabilistic bilevel multi-objective nonlinear programming optimization problem is formulated to maximize the penetration of renewable distributed generations via distribution network reconfiguration while ensuring the thermal line and voltage limits. Moreover, solar, wind, and load uncertainties are considered in this paper to provide a more realistic mathematical programming model for the optimization problem under study. Case studies are conducted on the 16-, 59-, 69-, 83-, 415-, and 880-node distribution networks, where the 59- and 83-node distribution networks are real distribution networks in Cairo and Taiwan, respectively. The obtained results validate the effectiveness of the proposed optimization approach in maximizing the hosting capacity of DGs and power loss reduction by greater than 17% and 74%, respectively, for the studied distribution networks. |
| Author | Jurado, Francisco Diaaeldin, Ibrahim Mohamed H. E. Abdel Aleem, Shady Ali, Ziad M. Abdelaziz, Almoataz Y. El-Rafei, Ahmed |
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| Cites_doi | 10.1109/TPWRD.2014.2300854 10.1016/j.renene.2018.07.008 10.1109/TPWRS.2012.2184307 10.1016/j.epsr.2010.01.001 10.1109/JSYST.2014.2325967 10.1016/j.apenergy.2020.114919 10.3390/en12061018 10.1007/978-3-030-40029-3_8 10.1109/TPWRS.2014.2332953 10.1109/TPWRD.2011.2179950 10.2174/2213111611306010009 10.1109/CEC.2002.1004388 10.1109/61.25627 10.1016/j.asoc.2018.11.042 10.1057/jors.1987.44 10.1016/j.asej.2016.11.010 10.3390/math7121182 10.1016/B978-0-12-820491-7.00013-X 10.3390/electronics8070729 10.1016/j.rser.2017.02.010 10.1109/TPWRS.2010.2051168 10.3390/en13205446 10.1109/TPWRS.2010.2094212 10.1080/15325008.2015.1041623 10.1109/4235.996017 10.1016/0305-0548(93)90109-V 10.1016/j.knosys.2017.07.018 10.20944/preprints201909.0339.v1 10.1016/j.epsr.2017.03.020 10.1109/TSG.2015.2502066 10.1016/j.ijepes.2018.09.010 10.1016/j.epsr.2012.12.003 10.1016/j.apenergy.2018.08.109 10.1109/ACCESS.2018.2835165 10.1080/0305215X.2013.832237 10.1109/ACCESS.2019.2952652 10.1016/j.est.2020.101345 10.1109/IT48810.2020.9070762 10.3390/en11010139 10.1109/TPWRS.2011.2180406 10.1109/TPWRS.2014.2320895 10.1109/PTC.2003.1304379 10.1109/MEPCON47431.2019.9008168 10.1016/j.apenergy.2019.01.135 10.1016/j.egypro.2017.12.622 |
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| References | ref_12 Ghasemi (ref_50) 2018; 9 ref_51 Othman (ref_37) 2015; 43 Zimmerman (ref_27) 2011; 26 ref_18 Xu (ref_14) 2019; 238 Lechuga (ref_25) 2002; Volume 2 Saleh (ref_40) 2018; 14 Eldurssi (ref_22) 2015; 30 Bijwe (ref_29) 2015; 9 ref_21 Zappa (ref_1) 2019; 233–234 Hwang (ref_35) 1993; 20 Abdelaziz (ref_20) 2010; 80 Ismael (ref_11) 2018; 6 ref_28 ref_26 Jabr (ref_15) 2012; 27 Sakar (ref_4) 2017; 148 Biswas (ref_30) 2019; 75 Qi (ref_10) 2017; 142 ref_33 Elmathana (ref_52) 2013; 6 ref_31 Badran (ref_19) 2017; 73 Capitanescu (ref_8) 2015; 30 ref_39 ref_38 Mokhlis (ref_48) 2019; 7 Roberge (ref_23) 2017; 8 Deb (ref_24) 2002; 6 Escalera (ref_46) 2020; 267 Takenobu (ref_7) 2019; 105 Ismael (ref_3) 2019; 130 Amanulla (ref_49) 2012; 27 Wu (ref_44) 2011; 26 Pandi (ref_13) 2013; 97 Yoon (ref_34) 1987; 38 ref_45 Heitsch (ref_32) 2003; Volume 3 Taylor (ref_17) 2012; 27 ref_41 Mostafa (ref_47) 2020; 29 Baran (ref_36) 1989; 4 ref_2 Yang (ref_42) 2014; 46 Mirjalili (ref_43) 2017; 134 ref_9 Ahmadi (ref_16) 2015; 30 ref_5 ref_6 |
| References_xml | – volume: 30 start-page: 25 year: 2015 ident: ref_16 article-title: Distribution System Optimization Based on a Linear Power-Flow Formulation publication-title: IEEE Trans. Power Deliv. doi: 10.1109/TPWRD.2014.2300854 – ident: ref_26 – volume: 130 start-page: 1002 year: 2019 ident: ref_3 article-title: State-of-the-art of hosting capacity in modern power systems with distributed generation publication-title: Renew. Energy doi: 10.1016/j.renene.2018.07.008 – volume: 27 start-page: 1407 year: 2012 ident: ref_17 article-title: Convex Models of Distribution System Reconfiguration publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2012.2184307 – volume: 80 start-page: 943 year: 2010 ident: ref_20 article-title: Distribution system reconfiguration using a modified Tabu Search algorithm publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2010.01.001 – volume: 9 start-page: 1440 year: 2015 ident: ref_29 article-title: Real-Time Economic Dispatch Considering Renewable Power Generation Variability and Uncertainty Over Scheduling Period publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2014.2325967 – volume: 267 start-page: 114919 year: 2020 ident: ref_46 article-title: Contribution of active management technologies to the reliability of power distribution networks publication-title: Appl. Energy doi: 10.1016/j.apenergy.2020.114919 – ident: ref_12 doi: 10.3390/en12061018 – ident: ref_39 – ident: ref_9 doi: 10.1007/978-3-030-40029-3_8 – volume: 30 start-page: 593 year: 2015 ident: ref_22 article-title: A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2014.2332953 – volume: 27 start-page: 918 year: 2012 ident: ref_49 article-title: Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss publication-title: IEEE Trans. Power Deliv. doi: 10.1109/TPWRD.2011.2179950 – volume: 6 start-page: 68 year: 2013 ident: ref_52 article-title: Different Design Approaches of Shunt Passive Harmonic Filters Based on IEEE Std. 519-1992 and IEEE Std. 18-2002 publication-title: Recent Pat. Electr. Electron. Eng. doi: 10.2174/2213111611306010009 – volume: Volume 2 start-page: 1051 year: 2002 ident: ref_25 article-title: MOPSO: A proposal for multiple objective particle swarm optimization publication-title: Proceedings of the 2002 Congress on Evolutionary Computation. CEC’02 (Cat. No.02TH8600) doi: 10.1109/CEC.2002.1004388 – volume: 4 start-page: 1401 year: 1989 ident: ref_36 article-title: Network reconfiguration in distribution systems for loss reduction and load balancing publication-title: IEEE Trans. Power Deliv. doi: 10.1109/61.25627 – ident: ref_31 – volume: 75 start-page: 616 year: 2019 ident: ref_30 article-title: Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2018.11.042 – volume: 38 start-page: 277 year: 1987 ident: ref_34 article-title: A Reconciliation among Discrete Compromise Solutions publication-title: J. Oper. Res. Soc. doi: 10.1057/jors.1987.44 – volume: 9 start-page: 1567 year: 2018 ident: ref_50 article-title: Balanced and unbalanced distribution networks reconfiguration considering reliability indices publication-title: Ain Shams Eng. J. doi: 10.1016/j.asej.2016.11.010 – ident: ref_18 doi: 10.3390/math7121182 – ident: ref_45 doi: 10.1016/B978-0-12-820491-7.00013-X – volume: 14 start-page: 36 year: 2018 ident: ref_40 article-title: Enhancement of radial distribution network with distributed generation and system reconfiguration publication-title: J. Electr. Syst. – ident: ref_2 doi: 10.3390/electronics8070729 – volume: 73 start-page: 854 year: 2017 ident: ref_19 article-title: Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2017.02.010 – volume: 26 start-page: 12 year: 2011 ident: ref_27 article-title: MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2010.2051168 – ident: ref_28 – ident: ref_41 doi: 10.3390/en13205446 – volume: 26 start-page: 1591 year: 2011 ident: ref_44 article-title: Application of enhanced integer coded particle swarm optimization for distribution system feeder reconfiguration publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2010.2094212 – volume: 43 start-page: 1656 year: 2015 ident: ref_37 article-title: Optimal Reconfiguration Comprising Voltage Stability Aspect Using Enhanced Binary Particle Swarm Optimization Algorithm publication-title: Electr. Power Compon. Syst. doi: 10.1080/15325008.2015.1041623 – volume: 6 start-page: 182 year: 2002 ident: ref_24 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 20 start-page: 889 year: 1993 ident: ref_35 article-title: A new approach for multiple objective decision making publication-title: Comput. Oper. Res. doi: 10.1016/0305-0548(93)90109-V – volume: 134 start-page: 50 year: 2017 ident: ref_43 article-title: Optimization of problems with multiple objectives using the multi-verse optimization algorithm publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2017.07.018 – ident: ref_5 doi: 10.20944/preprints201909.0339.v1 – volume: 148 start-page: 74 year: 2017 ident: ref_4 article-title: Increasing PV hosting capacity in distorted distribution systems using passive harmonic filtering publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2017.03.020 – volume: 8 start-page: 1689 year: 2017 ident: ref_23 article-title: Distribution System Optimization on Graphics Processing Unit publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2015.2502066 – volume: 105 start-page: 867 year: 2019 ident: ref_7 article-title: Scalable enumeration approach for maximizing hosting capacity of distributed generation publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2018.09.010 – volume: 97 start-page: 68 year: 2013 ident: ref_13 article-title: Optimal penetration levels for inverter-based distributed generation considering harmonic limits publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2012.12.003 – ident: ref_6 – volume: 233–234 start-page: 1027 year: 2019 ident: ref_1 article-title: Is a 100% renewable European power system feasible by 2050? publication-title: Appl. Energy doi: 10.1016/j.apenergy.2018.08.109 – volume: 6 start-page: 27268 year: 2018 ident: ref_11 article-title: Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2835165 – ident: ref_33 – volume: 46 start-page: 1222 year: 2014 ident: ref_42 article-title: Flower pollination algorithm: A novel approach for multiobjective optimization publication-title: Eng. Optim. doi: 10.1080/0305215X.2013.832237 – volume: 7 start-page: 163700 year: 2019 ident: ref_48 article-title: Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2952652 – volume: 29 start-page: 101345 year: 2020 ident: ref_47 article-title: Techno-economic assessment of energy storage systems using annualized life cycle cost of storage (LCCOS) and levelized cost of energy (LCOE) metrics publication-title: J. Energy Storage doi: 10.1016/j.est.2020.101345 – ident: ref_38 doi: 10.1109/IT48810.2020.9070762 – ident: ref_51 doi: 10.3390/en11010139 – volume: 27 start-page: 1106 year: 2012 ident: ref_15 article-title: Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2011.2180406 – volume: 30 start-page: 346 year: 2015 ident: ref_8 article-title: Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2014.2320895 – volume: Volume 3 start-page: 152 year: 2003 ident: ref_32 article-title: Scenario reduction and scenario tree construction for power management problems publication-title: Proceedings of the 2003 IEEE Bologna Power Tech Conference Proceedings doi: 10.1109/PTC.2003.1304379 – ident: ref_21 doi: 10.1109/MEPCON47431.2019.9008168 – volume: 238 start-page: 952 year: 2019 ident: ref_14 article-title: Enhancing photovoltaic hosting capacity—A stochastic approach to optimal planning of static var compensator devices in distribution networks publication-title: Appl. Energy doi: 10.1016/j.apenergy.2019.01.135 – volume: 142 start-page: 2224 year: 2017 ident: ref_10 article-title: Using an MVDC Link to Increase DG Hosting Capacity of a Distribution Network publication-title: Energy Procedia doi: 10.1016/j.egypro.2017.12.622 |
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| Title | Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty |
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