Two-stage optimization strategy of multi-objective Volt/Var coordination in electric distribution network considering renewable uncertainties
Renewable energy is connected to the distribution network in the form of distributed generation, and its output is random and fluctuating. The high penetration of renewable energy will weaken the security and economy of the electric distribution network. In view of the uncertainty of renewable power...
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| Vydáno v: | Energy reports Ročník 9; s. 155 - 166 |
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Elsevier Ltd
01.09.2023
Elsevier |
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| ISSN: | 2352-4847, 2352-4847 |
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| Abstract | Renewable energy is connected to the distribution network in the form of distributed generation, and its output is random and fluctuating. The high penetration of renewable energy will weaken the security and economy of the electric distribution network. In view of the uncertainty of renewable power output, Monte Carlo simulation method and simultaneous backward reduction method are used to scenario generation and reduction of wind power and photovoltaic, so as to represent their randomness. On this basis, a two-stage optimization strategy for Volt/Var coordination in distribution network is proposed. In the first stage, a network reconfiguration model with the goal of minimizing the power loss of the system is established, and the particle swarm optimization algorithm is used to solve it. In the second stage, a Volt/Var optimization model with the goal of minimizing the node voltage offset and the system power loss is established, and the multi-objective model is solved by combining the network topology obtained in the first stage with the reactive power adjustment device and voltage regulating equipment such as switching capacitor, static var compensator and on-line tap changer. The distribution network’s Volt/Var is optimized using the non-dominated sorted genetic algorithm-II. The optimization results of the first stage are regarded as the conditions of the second stage. Lastly, the IEEE 33-node extension system is used to validate the effectiveness of the suggested strategy. |
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| AbstractList | Renewable energy is connected to the distribution network in the form of distributed generation, and its output is random and fluctuating. The high penetration of renewable energy will weaken the security and economy of the electric distribution network. In view of the uncertainty of renewable power output, Monte Carlo simulation method and simultaneous backward reduction method are used to scenario generation and reduction of wind power and photovoltaic, so as to represent their randomness. On this basis, a two-stage optimization strategy for Volt/Var coordination in distribution network is proposed. In the first stage, a network reconfiguration model with the goal of minimizing the power loss of the system is established, and the particle swarm optimization algorithm is used to solve it. In the second stage, a Volt/Var optimization model with the goal of minimizing the node voltage offset and the system power loss is established, and the multi-objective model is solved by combining the network topology obtained in the first stage with the reactive power adjustment device and voltage regulating equipment such as switching capacitor, static var compensator and on-line tap changer. The distribution network’s Volt/Var is optimized using the non-dominated sorted genetic algorithm-II. The optimization results of the first stage are regarded as the conditions of the second stage. Lastly, the IEEE 33-node extension system is used to validate the effectiveness of the suggested strategy. |
| Author | Li, Zixiong Quan, Hao Zhou, Tao Yin, Jianhua |
| Author_xml | – sequence: 1 givenname: Hao surname: Quan fullname: Quan, Hao organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 2 givenname: Zixiong surname: Li fullname: Li, Zixiong organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 3 givenname: Tao orcidid: 0000-0002-2450-5551 surname: Zhou fullname: Zhou, Tao email: zhoutaonjust@njust.edu.cn organization: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 4 givenname: Jianhua surname: Yin fullname: Yin, Jianhua organization: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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| Cites_doi | 10.1002/tee.22129 10.1109/4235.996017 10.1109/TPWRS.2010.2042734 10.1109/SGC.2014.7090878 10.1109/TPWRD.2010.2046339 10.1016/j.solener.2007.02.007 10.1007/s10107-002-0331-0 10.1109/TPWRS.2014.2330628 10.1109/TSG.2014.2374613 10.1109/TSTE.2015.2433794 10.1109/MPER.1989.4310642 10.1109/TSTE.2015.2494587 10.1109/TPWRD.2014.2336598 10.1109/59.466504 10.4028/www.scientific.net/AMM.313-314.1327 10.1016/j.egyr.2022.08.156 10.1109/TII.2019.2912925 |
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| Keywords | Distributed generation Reconfiguration of distribution network Multi-objective Volt/Var optimization |
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| References | Zhang, Lu (b13) 2013; 313 Wu, Lee, Liu (b11) 2010; 25 Padilha-Feltrin, Rodezno, Mantovani (b5) 2015; 30 Ahmadi, Martí, Dommel (b3) 2015; 6 Ding, Wang, Bin (b10) 2018; 30 Alonso, Oliveira, de Souza (b12) 2015; 30 Souza, Almeida (b2) 2010; 25 Baran, Wu (b20) 1989; 9 S. Abapour, K. Zare, M. Abapour, Application of active management in operation of distribution network using NSGA II, in: 2014 smart grid conference, SGC, Tehran, 2014. Tong, Tan, Huang (b14) 2019; 1 Zhang, Cheng, Li (b1) 2015; 10 Roytelman, Wee, Lugtu (b7) 1995; 10 Conti, Raiti (b16) 2007; 81 Deb, Pratap, Agarwal, Meyarivan (b19) 2002; 6 Agalgaonkar, Pal, Jabr (b8) 2015; 6 Wu, Bai, Wang (b18) 2017; 38 Dupacova, Growe-Kuska, Romisch (b17) 2003; 95 Zafar, Ravishankar, Fletcher, Pota (b4) 2020; 16 Luo, Wang, Yan (b15) 2022; 13 Ding, Liu, Yuan, Bie, Zeng (b9) 2016; 7 Dupacova (10.1016/j.egyr.2023.04.089_b17) 2003; 95 Roytelman (10.1016/j.egyr.2023.04.089_b7) 1995; 10 Ding (10.1016/j.egyr.2023.04.089_b10) 2018; 30 Agalgaonkar (10.1016/j.egyr.2023.04.089_b8) 2015; 6 Souza (10.1016/j.egyr.2023.04.089_b2) 2010; 25 Zafar (10.1016/j.egyr.2023.04.089_b4) 2020; 16 Ahmadi (10.1016/j.egyr.2023.04.089_b3) 2015; 6 Alonso (10.1016/j.egyr.2023.04.089_b12) 2015; 30 Luo (10.1016/j.egyr.2023.04.089_b15) 2022; 13 Wu (10.1016/j.egyr.2023.04.089_b11) 2010; 25 10.1016/j.egyr.2023.04.089_b6 Deb (10.1016/j.egyr.2023.04.089_b19) 2002; 6 Baran (10.1016/j.egyr.2023.04.089_b20) 1989; 9 Zhang (10.1016/j.egyr.2023.04.089_b1) 2015; 10 Zhang (10.1016/j.egyr.2023.04.089_b13) 2013; 313 Wu (10.1016/j.egyr.2023.04.089_b18) 2017; 38 Tong (10.1016/j.egyr.2023.04.089_b14) 2019; 1 Ding (10.1016/j.egyr.2023.04.089_b9) 2016; 7 Padilha-Feltrin (10.1016/j.egyr.2023.04.089_b5) 2015; 30 Conti (10.1016/j.egyr.2023.04.089_b16) 2007; 81 |
| References_xml | – volume: 30 start-page: 61 year: 2018 end-page: 67 ident: b10 article-title: Fast network reconfiguration considering distributed power supply uncertainty publication-title: Proc CSU-EPSA – volume: 30 start-page: 840 year: 2015 end-page: 847 ident: b12 article-title: Artificial immune systems optimization approach for multi-objective distribution system reconfiguration publication-title: IEEE Trans Power Syst – volume: 1 start-page: 299 year: 2019 end-page: 323 ident: b14 article-title: Low carbon-based scheduling optimization model for wind power and thermal power considering energy storage systems publication-title: Front Soc Sci Technol – volume: 16 start-page: 97 year: 2020 end-page: 108 ident: b4 article-title: Optimal dispatch of battery energy storage system using convex relaxations in unbalanced distribution grids publication-title: IEEE Trans Ind Inf – reference: S. Abapour, K. Zare, M. Abapour, Application of active management in operation of distribution network using NSGA II, in: 2014 smart grid conference, SGC, Tehran, 2014. – volume: 95 start-page: 493 year: 2003 end-page: 511 ident: b17 article-title: Scenario reduction in stochastic programming: An approach using probability metrics publication-title: Math Program B – volume: 9 start-page: 101 year: 1989 end-page: 102 ident: b20 article-title: Network reconfiguration in distribution systems for loss reduction and load balancing publication-title: IEEE Power Eng Rev – volume: 25 start-page: 1274 year: 2010 end-page: 1281 ident: b2 article-title: Multiobjective optimization and fuzzy logic applied to planning of the volt/var problem in distributions systems publication-title: IEEE Trans Power Syst – volume: 30 start-page: 618 year: 2015 end-page: 626 ident: b5 article-title: Volt-VAR multi-objective optimization to peak-load relief and energy efficiency in distribution networks publication-title: IEEE Trans Power Deliv – volume: 6 start-page: 1315 year: 2015 end-page: 1324 ident: b8 article-title: Stochastic distribution system operation considering voltage regulation risks in the presence of PV generation publication-title: IEEE Trans Sustain Energy – volume: 13 start-page: 1152 year: 2022 end-page: 1159 ident: b15 article-title: Risk assessment of photovoltaic distribution network based on adaptive kernel density estimation and cumulant method publication-title: Energy Rep – volume: 10 start-page: 628 year: 2015 end-page: 635 ident: b1 article-title: Optimal siting and sizing of intermittent distributed generators in distribution system publication-title: IEEE Trans Electr Electron Eng – volume: 25 start-page: 1678 year: 2010 end-page: 1685 ident: b11 article-title: Study of reconfiguration for the distribution system with distributed generators publication-title: IEEE Trans Power Deliv – volume: 6 start-page: 1473 year: 2015 end-page: 1483 ident: b3 article-title: A framework for volt-var optimization in distribution systems publication-title: IEEE Trans Smart Grid – volume: 313 start-page: 1327 year: 2013 end-page: 1330 ident: b13 article-title: Distribution network restoration reconfiguration based on an PSO-ACO hybrid approach publication-title: Appl Mech Mater – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b19 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput – volume: 10 start-page: 1454 year: 1995 end-page: 1460 ident: b7 article-title: Volt/var control algorithm for modern distribution management system publication-title: IEEE Trans Power Syst – volume: 81 start-page: 1473 year: 2007 end-page: 1481 ident: b16 article-title: Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators publication-title: Sol Energy – volume: 38 start-page: 1501 year: 2017 end-page: 1509 ident: b18 article-title: Reliability evaluation of wind-solar-battery generation system based on sequential Monte Carlo simulation publication-title: Acta Energiae Solaris Sin – volume: 7 start-page: 301 year: 2016 end-page: 311 ident: b9 article-title: A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks publication-title: IEEE Trans Sustain Energy – volume: 10 start-page: 628 issue: 6 year: 2015 ident: 10.1016/j.egyr.2023.04.089_b1 article-title: Optimal siting and sizing of intermittent distributed generators in distribution system publication-title: IEEE Trans Electr Electron Eng doi: 10.1002/tee.22129 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.egyr.2023.04.089_b19 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 25 start-page: 1274 issue: 3 year: 2010 ident: 10.1016/j.egyr.2023.04.089_b2 article-title: Multiobjective optimization and fuzzy logic applied to planning of the volt/var problem in distributions systems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2010.2042734 – ident: 10.1016/j.egyr.2023.04.089_b6 doi: 10.1109/SGC.2014.7090878 – volume: 25 start-page: 1678 issue: 3 year: 2010 ident: 10.1016/j.egyr.2023.04.089_b11 article-title: Study of reconfiguration for the distribution system with distributed generators publication-title: IEEE Trans Power Deliv doi: 10.1109/TPWRD.2010.2046339 – volume: 81 start-page: 1473 issue: 12 year: 2007 ident: 10.1016/j.egyr.2023.04.089_b16 article-title: Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators publication-title: Sol Energy doi: 10.1016/j.solener.2007.02.007 – volume: 95 start-page: 493 issue: 3 year: 2003 ident: 10.1016/j.egyr.2023.04.089_b17 article-title: Scenario reduction in stochastic programming: An approach using probability metrics publication-title: Math Program B doi: 10.1007/s10107-002-0331-0 – volume: 30 start-page: 840 issue: 2 year: 2015 ident: 10.1016/j.egyr.2023.04.089_b12 article-title: Artificial immune systems optimization approach for multi-objective distribution system reconfiguration publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2330628 – volume: 6 start-page: 1473 issue: 3 year: 2015 ident: 10.1016/j.egyr.2023.04.089_b3 article-title: A framework for volt-var optimization in distribution systems publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2014.2374613 – volume: 6 start-page: 1315 issue: 4 year: 2015 ident: 10.1016/j.egyr.2023.04.089_b8 article-title: Stochastic distribution system operation considering voltage regulation risks in the presence of PV generation publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2015.2433794 – volume: 38 start-page: 1501 issue: 6 year: 2017 ident: 10.1016/j.egyr.2023.04.089_b18 article-title: Reliability evaluation of wind-solar-battery generation system based on sequential Monte Carlo simulation publication-title: Acta Energiae Solaris Sin – volume: 9 start-page: 101 issue: 4 year: 1989 ident: 10.1016/j.egyr.2023.04.089_b20 article-title: Network reconfiguration in distribution systems for loss reduction and load balancing publication-title: IEEE Power Eng Rev doi: 10.1109/MPER.1989.4310642 – volume: 7 start-page: 301 issue: 1 year: 2016 ident: 10.1016/j.egyr.2023.04.089_b9 article-title: A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2015.2494587 – volume: 1 start-page: 299 issue: 4 year: 2019 ident: 10.1016/j.egyr.2023.04.089_b14 article-title: Low carbon-based scheduling optimization model for wind power and thermal power considering energy storage systems publication-title: Front Soc Sci Technol – volume: 30 start-page: 618 issue: 2 year: 2015 ident: 10.1016/j.egyr.2023.04.089_b5 article-title: Volt-VAR multi-objective optimization to peak-load relief and energy efficiency in distribution networks publication-title: IEEE Trans Power Deliv doi: 10.1109/TPWRD.2014.2336598 – volume: 10 start-page: 1454 issue: 3 year: 1995 ident: 10.1016/j.egyr.2023.04.089_b7 article-title: Volt/var control algorithm for modern distribution management system publication-title: IEEE Trans Power Syst doi: 10.1109/59.466504 – volume: 313 start-page: 1327 year: 2013 ident: 10.1016/j.egyr.2023.04.089_b13 article-title: Distribution network restoration reconfiguration based on an PSO-ACO hybrid approach publication-title: Appl Mech Mater doi: 10.4028/www.scientific.net/AMM.313-314.1327 – volume: 13 start-page: 1152 issue: 8 year: 2022 ident: 10.1016/j.egyr.2023.04.089_b15 article-title: Risk assessment of photovoltaic distribution network based on adaptive kernel density estimation and cumulant method publication-title: Energy Rep doi: 10.1016/j.egyr.2022.08.156 – volume: 30 start-page: 61 issue: 9 year: 2018 ident: 10.1016/j.egyr.2023.04.089_b10 article-title: Fast network reconfiguration considering distributed power supply uncertainty publication-title: Proc CSU-EPSA – volume: 16 start-page: 97 issue: 1 year: 2020 ident: 10.1016/j.egyr.2023.04.089_b4 article-title: Optimal dispatch of battery energy storage system using convex relaxations in unbalanced distribution grids publication-title: IEEE Trans Ind Inf doi: 10.1109/TII.2019.2912925 |
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| Title | Two-stage optimization strategy of multi-objective Volt/Var coordination in electric distribution network considering renewable uncertainties |
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