Benefits of transmission switching and energy storage in power systems with high renewable energy penetration
•A stochastic programming approach is proposed to model TS and ESS sizing simultaneously.•The model considers DSM and renewable energy curtailment policies with various limits.•The effect of TS on total cost, sizes, locations of ESS are discussed.•We find that TS is noteworthy to analyze for power s...
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| Vydáno v: | Applied energy Ročník 228; s. 1182 - 1197 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
15.10.2018
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | •A stochastic programming approach is proposed to model TS and ESS sizing simultaneously.•The model considers DSM and renewable energy curtailment policies with various limits.•The effect of TS on total cost, sizes, locations of ESS are discussed.•We find that TS is noteworthy to analyze for power systems with renewable targets.
Increasing the share of renewable energy sources in electricity generation helps address concerns about carbon emissions, global warming and energy security (i.e. dependence on fossil fuels). However, integrating intermittent and variable energy sources into the grid imposes new challenges for power system reliability and stability. To use these clean sources in electricity generation without endangering power systems, utilities can implement various control mechanisms, such as energy storage systems, demand side management, renewable energy curtailment and transmission switching. This paper introduces a two-stage stochastic programming model that co-optimizes transmission switching operations, and transmission and storage investments subject to limitations on load shedding and curtailment amounts. We discuss the effect of transmission switching on the total investment and operational costs, siting and sizing decisions of energy storage systems, and load shedding and renewable energy curtailment in a power system with high renewable penetration. An extensive computational study on the IEEE 24-bus power system with wind and solar as available renewable sources demonstrates that the total cost and total capacity of energy storage systems can be decreased up to 17% and 50%, respectively, when transmission switching is incorporated into the power system. |
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| AbstractList | Increasing the share of renewable energy sources in electricity generation helps address concerns about carbon emissions, global warming and energy security (i.e. dependence on fossil fuels). However, integrating intermittent and variable energy sources into the grid imposes new challenges for power system reliability and stability. To use these clean sources in electricity generation without endangering power systems, utilities can implement various control mechanisms, such as energy storage systems, demand side management, renewable energy curtailment and transmission switching. This paper introduces a two-stage stochastic programming model that co-optimizes transmission switching operations, and transmission and storage investments subject to limitations on load shedding and curtailment amounts. We discuss the effect of transmission switching on the total investment and operational costs, siting and sizing decisions of energy storage systems, and load shedding and renewable energy curtailment in a power system with high renewable penetration. An extensive computational study on the IEEE 24-bus power system with wind and solar as available renewable sources demonstrates that the total cost and total capacity of energy storage systems can be decreased up to 17% and 50%, respectively, when transmission switching is incorporated into the power system. •A stochastic programming approach is proposed to model TS and ESS sizing simultaneously.•The model considers DSM and renewable energy curtailment policies with various limits.•The effect of TS on total cost, sizes, locations of ESS are discussed.•We find that TS is noteworthy to analyze for power systems with renewable targets. Increasing the share of renewable energy sources in electricity generation helps address concerns about carbon emissions, global warming and energy security (i.e. dependence on fossil fuels). However, integrating intermittent and variable energy sources into the grid imposes new challenges for power system reliability and stability. To use these clean sources in electricity generation without endangering power systems, utilities can implement various control mechanisms, such as energy storage systems, demand side management, renewable energy curtailment and transmission switching. This paper introduces a two-stage stochastic programming model that co-optimizes transmission switching operations, and transmission and storage investments subject to limitations on load shedding and curtailment amounts. We discuss the effect of transmission switching on the total investment and operational costs, siting and sizing decisions of energy storage systems, and load shedding and renewable energy curtailment in a power system with high renewable penetration. An extensive computational study on the IEEE 24-bus power system with wind and solar as available renewable sources demonstrates that the total cost and total capacity of energy storage systems can be decreased up to 17% and 50%, respectively, when transmission switching is incorporated into the power system. |
| Author | Kocaman, Ayse Selin Kara, Bahar Y. Peker, Meltem |
| Author_xml | – sequence: 1 givenname: Meltem orcidid: 0000-0002-2996-0916 surname: Peker fullname: Peker, Meltem – sequence: 2 givenname: Ayse Selin surname: Kocaman fullname: Kocaman, Ayse Selin email: selin.kocaman@bilkent.edu.tr – sequence: 3 givenname: Bahar Y. surname: Kara fullname: Kara, Bahar Y. |
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| Cites_doi | 10.1016/j.apenergy.2017.08.129 10.1109/TDC.2014.6863213 10.1109/TPWRS.2014.2364257 10.1109/TPWRS.2009.2039946 10.1109/TPWRS.2012.2224143 10.1016/j.apenergy.2018.03.153 10.17775/CSEEJPES.2017.0006 10.1109/TPWRS.2009.2020530 10.1109/TPWRS.2014.2326557 10.1109/TPWRS.2014.2362922 10.1109/TPWRS.2014.2379931 10.1016/j.apenergy.2010.03.019 10.1109/TSTE.2014.2329881 10.1109/TSTE.2016.2616444 10.1109/TPWRS.2008.922256 10.1016/j.apenergy.2016.12.146 10.1016/j.apenergy.2013.07.003 10.2172/984667 10.1016/j.renene.2016.12.061 10.1016/j.apenergy.2016.08.134 10.1016/j.ijepes.2017.11.044 10.1109/TSTE.2015.2497336 10.1109/TPWRS.2009.2037232 10.1109/PES.2011.6039857 10.1109/Allerton.2013.6736683 10.1016/j.apenergy.2015.10.104 10.1109/TPWRS.2014.2346987 10.1109/TSTE.2015.2482939 10.1002/er.3813 10.1016/j.apenergy.2010.12.022 10.1109/TPWRS.2014.2343944 10.1109/TPWRS.2016.2553678 10.1007/s12667-015-0158-4 10.1016/j.energy.2016.08.070 |
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| References | ao PS. Transmission switching, demand response and energy storage systems in an innovative integrated scheme for managing the uncertainty of wind power generation. Int J Electr Power Energy Syst 2018;98:72–84. Krishnan, Ho, Hobbs, Liu, McCalley, Shahidehpour (b0175) 2016; 7 Aghaei Jamshid, Nikoobakht Ahmad, Mardaneh Mohammad, Shafie-khah Miadreza, Catal Vargas, Bustos-Turu, Larraín (b0030) 2015; 30 Zhou, Wang, McCalley (b0005) 2011; 88 Go, Munoz, Watson (b0095) 2016; 183 Kocaman, Modi (b0020) 2017; 205 Cliff (b0180) 1999; 14 Mavrotas (b0190) 2009; 213 Bhattacharya, Paramati, Ozturk, Bhattacharya (b0045) 2016; 162 Qiu, Wang (b0150) 2015; 30 Li, Hedman (b0060) 2015; 6 ao Jo Pandžić, Wang, Qiu, Dvorkin, Kirschen (b0055) 2015; 30 Jabr, Džafić, Pal (b0070) 2015; 30 Hedman KW, Shmuel S. Oren, Richard P. O’Neill. A review of transmission switching and network topology optimization. In: Power and energy society general meeting, 2011 IEEE. IEEE; 2011. p. 1–7. Fisher, O’Neill, Ferris (b0040) 2008; 23 Qiu, Xu, Wang, Dvorkin, Kirschen (b0105) 2017; 32 W. Hedman, Ferris, O’Neill, Fisher, Oren (b0115) 2010; 25 Finn, Fitzpatrick (b0050) 2014; 113 Hedayati Mojgan, Zhang Junshan, Hedman Kory W. Joint transmission expansion planning and energy storage placement in smart grid towards efficient integration of renewable energy. In: T&D Conference and Exposition, 2014 IEEE PES. IEEE; 2014. p. 1–5. Xiong, Singh (b0100) 2016; 7 Jabarnejad, Wang, Valenzuela (b0120) 2015; 30 Khodaei, Shahidehpour, Kamalinia (b0125) 2010; 25 Conejo, Cheng, Zhang, Kang (b0075) 2017; 3 Nikoobakht, Aghaei, Mardaneh (b0155) 2017; 190 International Energy Agency. World Energy Outlook-2017. OECD/IEA; 2017. p. 257. Moura, De Almeida (b0015) 2010; 87 . Hedman, O’Neill, Fisher, Oren (b0110) 2009; 24 Pablo A. Ruiz, Michael Caramanis, Evgeniy Goldis, Bhavana Keshavamurthy, Xiaoguang Li, Russ Philbrick, et al. Topology control algorithms (TCA) simulations in PJM with AC modeling. In: Technical conference on increasing real-time and day-ahead market efficiency through improved software, Washington. FERC; 2014. Fernández-Blanco, Dvorkin, Xu, Wang, Kirschen (b0090) 2017; 8 Jennifer Rogers, Sari Fink, Kevin Porter. Examples of wind energy curtailment practices; 2010 Evgeniy A. Goldis, Xiaoguang Li, Michael C. Caramanis, Bhavana Keshavamurthy, Mahendra Patel, Aleksandr M. Rudkevich, et al. Applicability of topology control algorithms (TCA) to a real-size power system. In: 2013 51st Annual Allerton conference on communication, control, and computing (Allerton). IEEE; 2013. p. 1349–52. Altıntaş, Okten, Karsu, Kocaman (b0185) 2018; 42 Yuan, Kocaman, Modi (b0025) 2017; 105 Bucciarelli, Paoletti, Vicino (b0080) 2018; 225 Villumsen, Bronmo, Philpott (b0145) 2013; 28 Wogrin, Gayme (b0085) 2015; 30 Dehghan, Amjady (b0170) 2016; 7 Nikoobakht, Aghaei, Mardaneh (b0160) 2016; 114 Wogrin (10.1016/j.apenergy.2018.07.008_b0085) 2015; 30 10.1016/j.apenergy.2018.07.008_b0035 Moura (10.1016/j.apenergy.2018.07.008_b0015) 2010; 87 10.1016/j.apenergy.2018.07.008_b0135 Fernández-Blanco (10.1016/j.apenergy.2018.07.008_b0090) 2017; 8 10.1016/j.apenergy.2018.07.008_b0130 10.1016/j.apenergy.2018.07.008_b0010 Hedman (10.1016/j.apenergy.2018.07.008_b0110) 2009; 24 Qiu (10.1016/j.apenergy.2018.07.008_b0150) 2015; 30 Finn (10.1016/j.apenergy.2018.07.008_b0050) 2014; 113 Qiu (10.1016/j.apenergy.2018.07.008_b0105) 2017; 32 Yuan (10.1016/j.apenergy.2018.07.008_b0025) 2017; 105 Bucciarelli (10.1016/j.apenergy.2018.07.008_b0080) 2018; 225 Dehghan (10.1016/j.apenergy.2018.07.008_b0170) 2016; 7 Mavrotas (10.1016/j.apenergy.2018.07.008_b0190) 2009; 213 Vargas (10.1016/j.apenergy.2018.07.008_b0030) 2015; 30 Villumsen (10.1016/j.apenergy.2018.07.008_b0145) 2013; 28 Jabr (10.1016/j.apenergy.2018.07.008_b0070) 2015; 30 Cliff (10.1016/j.apenergy.2018.07.008_b0180) 1999; 14 Altıntaş (10.1016/j.apenergy.2018.07.008_b0185) 2018; 42 Jabarnejad (10.1016/j.apenergy.2018.07.008_b0120) 2015; 30 Li (10.1016/j.apenergy.2018.07.008_b0060) 2015; 6 10.1016/j.apenergy.2018.07.008_b0065 Kocaman (10.1016/j.apenergy.2018.07.008_b0020) 2017; 205 10.1016/j.apenergy.2018.07.008_b0165 Nikoobakht (10.1016/j.apenergy.2018.07.008_b0155) 2017; 190 Zhou (10.1016/j.apenergy.2018.07.008_b0005) 2011; 88 Khodaei (10.1016/j.apenergy.2018.07.008_b0125) 2010; 25 10.1016/j.apenergy.2018.07.008_b0140 Krishnan (10.1016/j.apenergy.2018.07.008_b0175) 2016; 7 Bhattacharya (10.1016/j.apenergy.2018.07.008_b0045) 2016; 162 Nikoobakht (10.1016/j.apenergy.2018.07.008_b0160) 2016; 114 Fisher (10.1016/j.apenergy.2018.07.008_b0040) 2008; 23 Conejo (10.1016/j.apenergy.2018.07.008_b0075) 2017; 3 Pandžić (10.1016/j.apenergy.2018.07.008_b0055) 2015; 30 Go (10.1016/j.apenergy.2018.07.008_b0095) 2016; 183 Xiong (10.1016/j.apenergy.2018.07.008_b0100) 2016; 7 W. Hedman (10.1016/j.apenergy.2018.07.008_b0115) 2010; 25 |
| References_xml | – volume: 88 start-page: 2201 year: 2011 end-page: 2209 ident: b0005 article-title: Designing effective and efficient incentive policies for renewable energy in generation expansion planning publication-title: Appl Energy – volume: 162 start-page: 733 year: 2016 end-page: 741 ident: b0045 article-title: The effect of renewable energy consumption on economic growth: evidence from top 38 countries publication-title: Appl Energy – volume: 30 start-page: 2288 year: 2015 end-page: 2300 ident: b0055 article-title: Near-optimal method for siting and sizing of distributed storage in a transmission network publication-title: IEEE Trans Power Syst – volume: 25 start-page: 1052 year: 2010 end-page: 1063 ident: b0115 article-title: Co-optimization of generation unit commitment and transmission switching with N-1 reliability publication-title: IEEE Trans Power Syst – volume: 7 start-page: 232 year: 2016 end-page: 240 ident: b0100 article-title: Optimal planning of storage in power systems integrated with wind power generation publication-title: IEEE Trans Sustain Energy – volume: 14 start-page: 1010 year: 1999 end-page: 1020 ident: b0180 article-title: The IEEE reliability test system-1996 publication-title: IEEE Trans Power Syst – volume: 3 start-page: 36 year: 2017 end-page: 43 ident: b0075 article-title: Long-term coordination of transmission and storage to integrate wind power publication-title: CSEE J Power Energy Syst – reference: Jennifer Rogers, Sari Fink, Kevin Porter. Examples of wind energy curtailment practices; 2010 < – volume: 225 start-page: 611 year: 2018 end-page: 621 ident: b0080 article-title: Optimal sizing of energy storage systems under uncertain demand and generation publication-title: Appl Energy – volume: 30 start-page: 531 year: 2015 end-page: 539 ident: b0070 article-title: Robust optimization of storage investment on transmission networks publication-title: IEEE Trans Power Syst – reference: Hedman KW, Shmuel S. Oren, Richard P. O’Neill. A review of transmission switching and network topology optimization. In: Power and energy society general meeting, 2011 IEEE. IEEE; 2011. p. 1–7. – volume: 42 start-page: 447 year: 2018 end-page: 465 ident: b0185 article-title: Bi-objective optimization of a grid-connected decentralized energy system publication-title: Int J Energy Res – reference: ao PS. Transmission switching, demand response and energy storage systems in an innovative integrated scheme for managing the uncertainty of wind power generation. Int J Electr Power Energy Syst 2018;98:72–84. – volume: 24 start-page: 1577 year: 2009 end-page: 1586 ident: b0110 article-title: Optimal transmission switching with contingency analysis publication-title: IEEE Trans Power Syst – reference: Hedayati Mojgan, Zhang Junshan, Hedman Kory W. Joint transmission expansion planning and energy storage placement in smart grid towards efficient integration of renewable energy. In: T&D Conference and Exposition, 2014 IEEE PES. IEEE; 2014. p. 1–5. – volume: 30 start-page: 2498 year: 2015 end-page: 2506 ident: b0030 article-title: Wind power curtailment and energy storage in transmission congestion management considering power plants ramp rates publication-title: IEEE Trans Power Syst – reference: International Energy Agency. World Energy Outlook-2017. OECD/IEA; 2017. p. 257. – volume: 205 start-page: 1202 year: 2017 end-page: 1215 ident: b0020 article-title: Value of pumped hydro storage in a hybrid energy generation and allocation system publication-title: Appl Energy – volume: 113 start-page: 11 year: 2014 end-page: 21 ident: b0050 article-title: Demand side management of industrial electricity consumption: promoting the use of renewable energy through real-time pricing publication-title: Appl Energy – volume: 105 start-page: 167 year: 2017 end-page: 174 ident: b0025 article-title: Benefits of forecasting and energy storage in isolated grids with large wind penetration–the case of Sao Vicente publication-title: Renew Energy – reference: Evgeniy A. Goldis, Xiaoguang Li, Michael C. Caramanis, Bhavana Keshavamurthy, Mahendra Patel, Aleksandr M. Rudkevich, et al. Applicability of topology control algorithms (TCA) to a real-size power system. In: 2013 51st Annual Allerton conference on communication, control, and computing (Allerton). IEEE; 2013. p. 1349–52. – volume: 28 start-page: 731 year: 2013 end-page: 739 ident: b0145 article-title: Line capacity expansion and transmission switching in power systems with large-scale wind power publication-title: IEEE Trans Power Syst – volume: 8 start-page: 733 year: 2017 end-page: 743 ident: b0090 article-title: Optimal energy storage siting and sizing: a WECC case study publication-title: IEEE Trans Sustain Energy – volume: 7 start-page: 297 year: 2016 end-page: 332 ident: b0175 article-title: Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches publication-title: Energy Syst – volume: 183 start-page: 902 year: 2016 end-page: 913 ident: b0095 article-title: Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards publication-title: Appl Energy – volume: 32 start-page: 643 year: 2017 end-page: 651 ident: b0105 article-title: Stochastic multistage coplanning of transmission expansion and energy storage publication-title: IEEE Trans Power Syst – volume: 190 start-page: 1207 year: 2017 end-page: 1220 ident: b0155 article-title: Securing highly penetrated wind energy systems using linearized transmission switching mechanism publication-title: Appl Energy – volume: 87 start-page: 2581 year: 2010 end-page: 2588 ident: b0015 article-title: The role of demand-side management in the grid integration of wind power publication-title: Appl Energy – reference: ao Jo – reference: Pablo A. Ruiz, Michael Caramanis, Evgeniy Goldis, Bhavana Keshavamurthy, Xiaoguang Li, Russ Philbrick, et al. Topology control algorithms (TCA) simulations in PJM with AC modeling. In: Technical conference on increasing real-time and day-ahead market efficiency through improved software, Washington. FERC; 2014. – reference: >. – reference: Aghaei Jamshid, Nikoobakht Ahmad, Mardaneh Mohammad, Shafie-khah Miadreza, Catal – volume: 30 start-page: 1270 year: 2015 end-page: 1278 ident: b0150 article-title: Chance-constrained transmission switching with guaranteed wind power utilization publication-title: IEEE Trans Power Syst – volume: 7 start-page: 765 year: 2016 end-page: 774 ident: b0170 article-title: Robust transmission and energy storage expansion planning in wind farm-integrated power systems considering transmission switching publication-title: IEEE Trans Sustain Energy – volume: 30 start-page: 1203 year: 2015 end-page: 1211 ident: b0120 article-title: A decomposition approach for solving seasonal transmission switching publication-title: IEEE Trans Power Syst – volume: 25 start-page: 1722 year: 2010 end-page: 1733 ident: b0125 article-title: Transmission switching in expansion planning publication-title: IEEE Trans Power Syst – volume: 213 start-page: 455 year: 2009 end-page: 465 ident: b0190 article-title: Effective implementation of the publication-title: Appl Math Comput – volume: 23 start-page: 1346 year: 2008 end-page: 1355 ident: b0040 article-title: Optimal transmission switching publication-title: IEEE Trans Power Syst – volume: 6 start-page: 1103 year: 2015 end-page: 1111 ident: b0060 article-title: Economic assessment of energy storage in systems with high levels of renewable resources publication-title: IEEE Trans Sustain Energy – volume: 30 start-page: 3304 year: 2015 end-page: 3313 ident: b0085 article-title: Optimizing storage siting, sizing, and technology portfolios in transmission-constrained networks publication-title: IEEE Trans Power Syst – volume: 114 start-page: 846 year: 2016 end-page: 861 ident: b0160 article-title: Managing the risk of uncertain wind power generation in flexible power systems using information gap decision theory publication-title: Energy – volume: 14 start-page: 1010 issue: 3 year: 1999 ident: 10.1016/j.apenergy.2018.07.008_b0180 article-title: The IEEE reliability test system-1996 publication-title: IEEE Trans Power Syst – volume: 205 start-page: 1202 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0020 article-title: Value of pumped hydro storage in a hybrid energy generation and allocation system publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.08.129 – ident: 10.1016/j.apenergy.2018.07.008_b0065 doi: 10.1109/TDC.2014.6863213 – volume: 30 start-page: 2288 issue: 5 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0055 article-title: Near-optimal method for siting and sizing of distributed storage in a transmission network publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2364257 – volume: 25 start-page: 1722 issue: 3 year: 2010 ident: 10.1016/j.apenergy.2018.07.008_b0125 article-title: Transmission switching in expansion planning publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2039946 – volume: 28 start-page: 731 issue: 2 year: 2013 ident: 10.1016/j.apenergy.2018.07.008_b0145 article-title: Line capacity expansion and transmission switching in power systems with large-scale wind power publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2012.2224143 – volume: 225 start-page: 611 year: 2018 ident: 10.1016/j.apenergy.2018.07.008_b0080 article-title: Optimal sizing of energy storage systems under uncertain demand and generation publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.03.153 – volume: 3 start-page: 36 issue: 1 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0075 article-title: Long-term coordination of transmission and storage to integrate wind power publication-title: CSEE J Power Energy Syst doi: 10.17775/CSEEJPES.2017.0006 – volume: 24 start-page: 1577 issue: 3 year: 2009 ident: 10.1016/j.apenergy.2018.07.008_b0110 article-title: Optimal transmission switching with contingency analysis publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2020530 – volume: 30 start-page: 531 issue: 1 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0070 article-title: Robust optimization of storage investment on transmission networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2326557 – volume: 30 start-page: 2498 issue: 5 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0030 article-title: Wind power curtailment and energy storage in transmission congestion management considering power plants ramp rates publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2362922 – volume: 30 start-page: 3304 issue: 6 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0085 article-title: Optimizing storage siting, sizing, and technology portfolios in transmission-constrained networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2379931 – volume: 87 start-page: 2581 issue: 8 year: 2010 ident: 10.1016/j.apenergy.2018.07.008_b0015 article-title: The role of demand-side management in the grid integration of wind power publication-title: Appl Energy doi: 10.1016/j.apenergy.2010.03.019 – volume: 213 start-page: 455 issue: 2 year: 2009 ident: 10.1016/j.apenergy.2018.07.008_b0190 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl Math Comput – volume: 6 start-page: 1103 issue: 3 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0060 article-title: Economic assessment of energy storage in systems with high levels of renewable resources publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2014.2329881 – volume: 8 start-page: 733 issue: 2 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0090 article-title: Optimal energy storage siting and sizing: a WECC case study publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2016.2616444 – volume: 23 start-page: 1346 issue: 3 year: 2008 ident: 10.1016/j.apenergy.2018.07.008_b0040 article-title: Optimal transmission switching publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2008.922256 – volume: 190 start-page: 1207 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0155 article-title: Securing highly penetrated wind energy systems using linearized transmission switching mechanism publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.12.146 – volume: 113 start-page: 11 year: 2014 ident: 10.1016/j.apenergy.2018.07.008_b0050 article-title: Demand side management of industrial electricity consumption: promoting the use of renewable energy through real-time pricing publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.07.003 – ident: 10.1016/j.apenergy.2018.07.008_b0035 doi: 10.2172/984667 – ident: 10.1016/j.apenergy.2018.07.008_b0010 – volume: 105 start-page: 167 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0025 article-title: Benefits of forecasting and energy storage in isolated grids with large wind penetration–the case of Sao Vicente publication-title: Renew Energy doi: 10.1016/j.renene.2016.12.061 – ident: 10.1016/j.apenergy.2018.07.008_b0140 – volume: 183 start-page: 902 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0095 article-title: Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.08.134 – ident: 10.1016/j.apenergy.2018.07.008_b0165 doi: 10.1016/j.ijepes.2017.11.044 – volume: 7 start-page: 765 issue: 2 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0170 article-title: Robust transmission and energy storage expansion planning in wind farm-integrated power systems considering transmission switching publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2015.2497336 – volume: 25 start-page: 1052 issue: 2 year: 2010 ident: 10.1016/j.apenergy.2018.07.008_b0115 article-title: Co-optimization of generation unit commitment and transmission switching with N-1 reliability publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2037232 – ident: 10.1016/j.apenergy.2018.07.008_b0130 doi: 10.1109/PES.2011.6039857 – ident: 10.1016/j.apenergy.2018.07.008_b0135 doi: 10.1109/Allerton.2013.6736683 – volume: 162 start-page: 733 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0045 article-title: The effect of renewable energy consumption on economic growth: evidence from top 38 countries publication-title: Appl Energy doi: 10.1016/j.apenergy.2015.10.104 – volume: 30 start-page: 1270 issue: 3 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0150 article-title: Chance-constrained transmission switching with guaranteed wind power utilization publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2346987 – volume: 7 start-page: 232 issue: 1 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0100 article-title: Optimal planning of storage in power systems integrated with wind power generation publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2015.2482939 – volume: 42 start-page: 447 issue: 2 year: 2018 ident: 10.1016/j.apenergy.2018.07.008_b0185 article-title: Bi-objective optimization of a grid-connected decentralized energy system publication-title: Int J Energy Res doi: 10.1002/er.3813 – volume: 88 start-page: 2201 issue: 6 year: 2011 ident: 10.1016/j.apenergy.2018.07.008_b0005 article-title: Designing effective and efficient incentive policies for renewable energy in generation expansion planning publication-title: Appl Energy doi: 10.1016/j.apenergy.2010.12.022 – volume: 30 start-page: 1203 issue: 3 year: 2015 ident: 10.1016/j.apenergy.2018.07.008_b0120 article-title: A decomposition approach for solving seasonal transmission switching publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2343944 – volume: 32 start-page: 643 issue: 1 year: 2017 ident: 10.1016/j.apenergy.2018.07.008_b0105 article-title: Stochastic multistage coplanning of transmission expansion and energy storage publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2016.2553678 – volume: 7 start-page: 297 issue: 2 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0175 article-title: Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches publication-title: Energy Syst doi: 10.1007/s12667-015-0158-4 – volume: 114 start-page: 846 year: 2016 ident: 10.1016/j.apenergy.2018.07.008_b0160 article-title: Managing the risk of uncertain wind power generation in flexible power systems using information gap decision theory publication-title: Energy doi: 10.1016/j.energy.2016.08.070 |
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| Title | Benefits of transmission switching and energy storage in power systems with high renewable energy penetration |
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