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

被引:8
作者
Zhou, Yulu [1 ]
Zhang, Jingrui [1 ,2 ]
机构
[1] Xiamen Univ, Dept Instrumental & Elect Engn, Xiamen 361005, Peoples R China
[2] Xiamen Univ, Shenzhen Res Inst, Shenzhen 518063, Peoples R China
基金
中国国家自然科学基金;
关键词
Day-ahead scheduling; Active distribution network; Multiple stakeholders; Economic dispatch; ECONOMIC-DISPATCH; GENERATION; STORAGE; SYSTEM; OPTIMIZATION; MANAGEMENT; INTEGRATION; FRAMEWORK; MODEL; UNITS;
D O I
10.1016/j.energy.2020.118263
中图分类号
O414.1 [热力学];
学科分类号
摘要
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. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Day-ahead scheduling of energy hubs with parking lots for electric vehicles considering uncertainties
    Jordehi, A. Rezaee
    Javadi, Mohammad Sadegh
    Catalao, Joao P. S.
    ENERGY, 2021, 229
  • [42] Day-Ahead Scheduling of Integrated Energy Systems Considering Carbon Emissions
    Wang, Weiyou
    Chen, Yuanye
    Fang, Fang
    2022 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2022, : 342 - 347
  • [43] Day-ahead optimal scheduling of microgrid with considering demand side management under uncertainty
    Bolurian, Amirhossein
    Akbari, Hamidreza
    Mousavi, Somayeh
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 209
  • [44] Day-ahead Coordinated Scheduling of Hydro and Wind Power Generation System Considering Uncertainties
    Li, Yuanzheng
    Zhao, Tianyang
    Liu, Chang
    Yu, Zhiyuan
    Li, Kaicheng
    Wu, Lei
    2018 IEEE/IAS 54TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2018,
  • [45] Intelligent Day-Ahead Scheduling for Distribution Networks With High Penetration of Distributed Renewable Energy Sources
    Swaminathan, Bhargav P.
    Debusschere, Vincent
    Caire, Raphael
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [46] Optimal day-ahead scheduling of renewable energy-based virtual power plant considering electrical, thermal and cooling energy
    Basu, Mousumi
    JOURNAL OF ENERGY STORAGE, 2023, 65
  • [47] Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response
    Shams, Mohammad H.
    Shahabi, Majid
    Khodayar, Mohammad E.
    ENERGY, 2018, 155 : 326 - 338
  • [48] Optimal Day-ahead Scheduling of Electricity and Natural Gas System at the Distribution Level Considering Uncertainty of Natural Gas Load
    Zhang Weitong
    Chen Jian
    Zhang Hongkai
    Zhang Yicheng
    Li Tianshu
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017, : 235 - 240
  • [49] A Tri-Layer Optimization Framework for Day-Ahead Energy Scheduling Based on Cost and Discomfort Minimization
    Koukaras, Paraskevas
    Gkaidatzis, Paschalis
    Bezas, Napoleon
    Bragatto, Tommaso
    Carere, Federico
    Santori, Francesca
    Antal, Marcel
    Ioannidis, Dimosthenis
    Tjortjis, Christos
    Tzovaras, Dimitrios
    ENERGIES, 2021, 14 (12)
  • [50] Investigating Impacts of Storage Devices on Distribution Network Aggregator's Day-Ahead Bidding Strategy Considering Uncertainties
    Bagchi, Arijit
    Best, Robert
    Morrow, D. John
    IEEE ACCESS, 2021, 9 : 120940 - 120954