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Coordinate Optimization of the Distribution Network Electricity Price, Energy Storage Operation Strategy, and Capacity under a Shared Mechanism

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  • Wenxia Liu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China)

  • Shu Wang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China)

  • Ye Chen

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China)

  • Xingliang Chen

    (State Grid Jilin Electric Power Company, Changchun 130000, China)

  • Shuya Niu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China)

  • Zongqi Liu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China)

Abstract

The large scale deployment of renewable generation is generally seen as the most promising option for displacing fossil fuel generators. A challenge in integrating renewable energy resources (RERs) for distribution networks is to find approaches that ensure the long term sustainability and economic profit of the Distribution Company (DisCo). In this paper, considering the air condition load demand side response, a coordinate optimization of the energy storage capacity and operation strategy is presented to maximize the economic profit of the DisCo. The operation strategy in the optimization is divided into two parts. Under the normal state, a price-based air condition quick response strategy is proposed, with both the comfort and economic efficiency of the users taken into account. Under the fault state, a sharing strategy of Generalized Demand Side Resources (GDSRs) is proposed to improve the utilization level of equipment based on the reliability insurance. Finally, the optimization is carried out on an improved IEEE-33 bus test system. The simulation results verify the effectiveness of the proposed method and discuss the effect of the load demand response participation rate on energy storage configuration. At the same time, the effect of GDSRs on the safe load rate of the line is also presented. The research provides a reference for the optimization and utilization of GDSRs.

Suggested Citation

  • Wenxia Liu & Shu Wang & Ye Chen & Xingliang Chen & Shuya Niu & Zongqi Liu, 2017. "Coordinate Optimization of the Distribution Network Electricity Price, Energy Storage Operation Strategy, and Capacity under a Shared Mechanism," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:1080-:d:102129
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    References listed on IDEAS

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    1. Eleonora Riva Sanseverino & Maria Luisa Di Silvestre & Gaetano Zizzo & Roberto Gallea & Ninh Nguyen Quang, 2013. "A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market," Energies, MDPI, vol. 6(11), pages 1-22, November.
    2. Telaretti, E. & Graditi, G. & Ippolito, M.G. & Zizzo, G., 2016. "Economic feasibility of stationary electrochemical storages for electric bill management applications: The Italian scenario," Energy Policy, Elsevier, vol. 94(C), pages 126-137.
    3. Xingning Han & Shiwu Liao & Xiaomeng Ai & Wei Yao & Jinyu Wen, 2017. "Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation," Energies, MDPI, vol. 10(4), pages 1-17, April.
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    1. Ning Liang & Changhong Deng & Yahong Chen & Weiwei Yao & Dinglin Li & Man Chen & Peng Peng, 2018. "Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks," Sustainability, MDPI, vol. 10(6), pages 1-15, June.

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