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Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination

Author

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  • Tao Xu

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • He Meng

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Jie Zhu

    (State Grid Beijing Electric Power Research Institute, Beijing 100031, China)

  • Wei Wei

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • He Zhao

    (State Grid Beijing Electric Power Research Institute, Beijing 100031, China)

  • Han Yang

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Zijin Li

    (State Grid Beijing Electric Power Research Institute, Beijing 100031, China)

  • Yuhan Wu

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

Abstract

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.

Suggested Citation

  • Tao Xu & He Meng & Jie Zhu & Wei Wei & He Zhao & Han Yang & Zijin Li & Yuhan Wu, 2021. "Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination," Energies, MDPI, vol. 14(6), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1611-:d:516743
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    References listed on IDEAS

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    1. Meng, He & Jia, Hongjie & Xu, Tao & Wei, Wei & Wu, Yuhan & Liang, Lemeng & Cai, Shuqi & Liu, Zuozheng & Wang, Rujing & Li, Mengchao, 2022. "Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game," Applied Energy, Elsevier, vol. 325(C).
    2. Yih-Der Lee & Wei-Chen Lin & Jheng-Lun Jiang & Jia-Hao Cai & Wei-Tzer Huang & Kai-Chao Yao, 2021. "Optimal Individual Phase Voltage Regulation Strategies in Active Distribution Networks with High PV Penetration Using the Sparrow Search Algorithm," Energies, MDPI, vol. 14(24), pages 1-22, December.
    3. Yu Yang & Fushuan Wen & Jiajia Yang & Hangyue Liu & Dazheng Liu & Shujun Xin & Hao Fan & Cong Wu, 2024. "Real-Time Power Regulation of Flexible User-Side Resources in Distribution Networks via Dual Ascent Method," Energies, MDPI, vol. 17(19), pages 1-14, September.

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