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Three-layer day-ahead scheduling for active distribution network by considering multiple stakeholders

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  • Zhou, Yulu
  • Zhang, Jingrui

Abstract

The increasing penetration of renewable energy resources (RES) has prompted the gradual evolution of distribution systems from passive networks to active ones. The independent operators of various microgirds and active users urgently need a new optimization scheme to replace the traditional centralized scheduling method in active distribution network (ADN). This paper proposes a three-layer day-ahead optimal schedule mechanism taking account of multi-stakeholders in ADN. In the proposed mechanism, the distribution network (DN) is divided into three layers structurally: User layer, microgrid (MG) layer and DN layer. Meanwhile, the corresponding three-layer optimization method is proposed correspondingly. Firstly, the optimal user power consumption scheme and the optimal user energy storage operation scheme can be obtained by minimizing the total cost of an active user. Subsequently, the MG economic dispatch is performed within the obtained user power purchase information from the User layer. By ensuring the interests of active users, an optimal MG economic dispatch scheme can be obtained, in which the information of the connection point between the DN and the MG is transmitted to the upper DN as one of the constraints in the optimization of DN layer. Finally, the third-layer optimization is performed to obtain the optimization results of the DN layer. An actual 47-bus distribution system is employed to verify the proposed three-layer optimizing framework and the results show the effectiveness of the proposed method.

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  • Zhou, Yulu & Zhang, Jingrui, 2020. "Three-layer day-ahead scheduling for active distribution network by considering multiple stakeholders," Energy, Elsevier, vol. 207(C).
    • Handle: RePEc:eee:energy:v:207:y:2020:i:c:s0360544220313700
    DOI: 10.1016/j.energy.2020.118263
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    1. Zhang, Jingrui & Zhou, Yulu & Li, Zhuoyun & Cai, Junfeng, 2021. "Three-level day-ahead optimal scheduling framework considering multi-stakeholders in active distribution networks: Up-to-down approach," Energy, Elsevier, vol. 219(C).
    2. Zhang, Jingrui & Zhu, Xiaoqing & Chen, Tengpeng & Yu, Yanlin & Xue, Wendong, 2020. "Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks," Energy, Elsevier, vol. 210(C).
    3. Zakernezhad, Hamid & Setayesh Nazar, Mehrdad & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Optimal scheduling of an active distribution system considering distributed energy resources, demand response aggregators and electrical energy storage," Applied Energy, Elsevier, vol. 314(C).
    4. Zhang, Jingrui & Li, Zhuoyun & Wang, Beibei, 2021. "Within-day rolling optimal scheduling problem for active distribution networks by multi-objective evolutionary algorithm based on decomposition integrating with thought of simulated annealing," Energy, Elsevier, vol. 223(C).

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