Active and reactive power coordination optimization of an active distribution network considering a three-terminal soft open point with energy storage and demand response

被引：0
|
作者：
Mi Y. [1 ]
Shen J. [1 ]
Lu C. [1 ]
Meng F. [2 ]
Nan Y. [2 ]
机构：
[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai
[2] Kaifeng Power Supply Company, State Grid Henan Electric Power Company, Kaifeng
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 03期
基金：
中国国家自然科学基金;
关键词：
active distribution network; conditional generative adversarial networks; demand response; distributed generation; three-terminal SOP with ESS;
D O I：
10.19783/j.cnki.pspc.230694
中图分类号：
学科分类号：
摘要：
There are problems of distribution network voltage over-limit, increased network loss and curtailment of wind and solar power caused by a distributed generation (DG) connected to the grid. Thus an active and reactive power coordinated optimization method for an active distribution network is proposed. It considers demand response (DR) and three-terminal soft open point (SOP) with energy storage system (ESS). First, considering the uncertainty of renewable energy output, day-ahead scenarios are generated based on conditional generative adversarial networks (CGAN). Then, DR and a three-terminal SOP with ESS are modeled and coordinated with the DG and traditional reactive power compensation equipment. A mathematical model is constructed with the optimization objectives of minimum network loss, minimum voltage deviation, minimum curtailment of wind and solar power, and maximum user comfort and user economy. After that, it is transformed into a mixed integer second-order cone programming model and analyzed by GUROBI. Finally, simulation is carried out on an improved IEEE 33-node and IEEE 69-node distribution system. The results show that the proposed optimization method, which takes into account the uncertainty of wind and solar power, improves the economy and reliability of distribution network operation while giving consideration to the comfort and economy of users. © 2024 Power System Protection and Control Press. All rights reserved.
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页码：104 / 118
页数：14
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  • [1] KOU Lingfeng, WU Ming, LI Yang, Et al., Optimization and control method of distributed active and reactive power in active distribution network, Proceedings of the CSEE, 40, 6, pp. 1856-1865, (2020)
  • [2] CAI Yongxiang, TANG Wei, ZHANG Bo, Et al., Centralized-distributed multi-objective coordinated control for MV and LV distribution networks adapting to high-proportion residential PV units, Proceedings of the CSEE, 40, 15, pp. 4843-4854, (2020)
  • [3] GAO Hongjun, LIU Junyong, WANG Lingfeng, Robust coordinated optimization of active and reactive power in active distribution systems, IEEE Transactions on Smart Grid, 9, 5, pp. 4436-4447, (2018)
  • [4] ZHU Yanming, XU Xiaoyuan, YAN Zheng, Et al., Prospect of renewable energy integrated distribution network operation in the power internet of things, Power System Protection and Control, 50, 2, pp. 176-187, (2022)
  • [5] FAZIO A R D, RISI C, RUSSO M, Et al., Coordinated optimization for zone-based voltage control in distribution grids, IEEE Transactions on Industry Applications, 58, 1, pp. 173-184, (2022)
  • [6] ZHOU Xia, LIU Yishi, DAI Jianfeng, Et al., Quantitative analysis of power system frequency characteristics considering wind power-energy storage-flexible HVDC transmission participation in frequency modulation, Power System Protection and Control, 51, 6, pp. 30-44, (2023)
  • [7] QIAN Kejun, LIU Yi, ZHANG Xinsong, Et al., Scenario-based probabilistic power flow calculation of distribution systems with electric vehicle charging loads, Power System Protection and Control, 48, 24, pp. 62-70, (2020)
  • [8] HE Xin, LIU Junyong, GAO Hongjun, Et al., Photovoltaic-energy storage distributed robust planning model for industrial parks considering photovoltaic uncertainty and low-carbon demand response, Smart Power, 51, 2, pp. 69-76, (2023)
  • [9] ZHANG Yuwei, XIAO Jinxing, YANG Jun, Et al., Data-driven robust economic dispatch for distribution network and multiple micro-grids considering correlativity of wind and solar output, Electric Power Construction, 42, 10, pp. 40-50, (2021)
  • [10] ZHANG Tao, MU Yunfei, JIA Hongjie, Et al., Stochastic operation optimization for AC/DC distribution network with power electronic transformer, Power System Technology, 46, 3, pp. 860-869, (2022)
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