Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination
Energy storage system (ESS) has been advocated as one of the key elements for the future energy system by the fast power regulation and energy transfer capabilities. In particular, for distribution networks with high penetration of renewables, ESS plays an important role in bridging the gap between...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/6/1611 |
| _version_ | 1797541415180304384 |
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| author | Tao Xu He Meng Jie Zhu Wei Wei He Zhao Han Yang Zijin Li Yuhan Wu |
| author_facet | Tao Xu He Meng Jie Zhu Wei Wei He Zhao Han Yang Zijin Li Yuhan Wu |
| author_sort | Tao Xu |
| collection | DOAJ |
| description | Energy storage system (ESS) has been advocated as one of the key elements for the future energy system by the fast power regulation and energy transfer capabilities. In particular, for distribution networks with high penetration of renewables, ESS plays an important role in bridging the gap between the supply and demand, maximizing the benefits of renewables and providing various types of ancillary services to cope the intermittences and fluctuations, consequently improving the resilience, reliability and flexibility. To solve the voltage fluctuations caused by the high permeability of renewables in distribution networks, an optimal capacity allocation strategy of ESS is proposed in this paper. Taking the life cycle cost, arbitrage income and the benefit of reducing network losses into consideration, a bilevel optimization model of ESS capacity allocation is established, the coordination between active/reactive power of associate power conversion system is considered, and the large scale nonlinear programming problem is solved using genetic algorithm, simulated annealing and mixed integer second-order cone programming method. The feasibility and effectiveness of the proposed algorithm have been verified. |
| first_indexed | 2024-03-10T13:15:41Z |
| format | Article |
| id | doaj.art-a6428d10c97c45e58045941385e3f013 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T13:15:41Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a6428d10c97c45e58045941385e3f0132023-11-21T10:27:25ZengMDPI AGEnergies1996-10732021-03-01146161110.3390/en14061611Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive CoordinationTao Xu0He Meng1Jie Zhu2Wei Wei3He Zhao4Han Yang5Zijin Li6Yuhan Wu7Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaState Grid Beijing Electric Power Research Institute, Beijing 100031, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaState Grid Beijing Electric Power Research Institute, Beijing 100031, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaState Grid Beijing Electric Power Research Institute, Beijing 100031, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaEnergy storage system (ESS) has been advocated as one of the key elements for the future energy system by the fast power regulation and energy transfer capabilities. In particular, for distribution networks with high penetration of renewables, ESS plays an important role in bridging the gap between the supply and demand, maximizing the benefits of renewables and providing various types of ancillary services to cope the intermittences and fluctuations, consequently improving the resilience, reliability and flexibility. To solve the voltage fluctuations caused by the high permeability of renewables in distribution networks, an optimal capacity allocation strategy of ESS is proposed in this paper. Taking the life cycle cost, arbitrage income and the benefit of reducing network losses into consideration, a bilevel optimization model of ESS capacity allocation is established, the coordination between active/reactive power of associate power conversion system is considered, and the large scale nonlinear programming problem is solved using genetic algorithm, simulated annealing and mixed integer second-order cone programming method. The feasibility and effectiveness of the proposed algorithm have been verified.https://www.mdpi.com/1996-1073/14/6/1611energy storagelife cycle costgenetic algorithmmixed integer second-order cone programming |
| spellingShingle | Tao Xu He Meng Jie Zhu Wei Wei He Zhao Han Yang Zijin Li Yuhan Wu Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination Energies energy storage life cycle cost genetic algorithm mixed integer second-order cone programming |
| title | Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination |
| title_full | Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination |
| title_fullStr | Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination |
| title_full_unstemmed | Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination |
| title_short | Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination |
| title_sort | optimal capacity allocation of energy storage in distribution networks considering active reactive coordination |
| topic | energy storage life cycle cost genetic algorithm mixed integer second-order cone programming |
| url | https://www.mdpi.com/1996-1073/14/6/1611 |
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