A two-stage secure and low-carbon operation optimization for a distribution network considering multi-level reconfiguration

被引:0
|
作者
Luo L. [1 ]
Chen M. [1 ]
Wang W. [2 ]
Gao H. [2 ]
Liu J. [2 ]
机构
[1] Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou
[2] School of Electrical Engineering, Sichuan University, Chengdu
关键词
distribution network; low carbon; multi-level reconfiguration; optimized scheduling; renewable energy;
D O I
10.19783/j.cnki.pspc.240086
中图分类号
学科分类号
摘要
With the increasing complexity of distribution network topology, there is a problem that a high proportion of renewable energy output prediction errors will lead to a decline in the accuracy of distribution network optimal scheduling decisions. Thus a two-stage secure and low-carbon operation optimization method considering multi-level reconfiguration is proposed. First, the influence of two kinds of multi-level switches on reconfiguration and two-stage operational framework of a distribution network are analyzed. Secondly, a day-ahead and intra-day two-stage operation optimization method is proposed to realize an optimal operation solution by coordinating the multi-level switches' state, the energy storage system and industrial load demand response. Then, the day-ahead global low-carbon economic scheduling and intra-day rolling security economic scheduling models are constructed by considering the photovoltaic output prediction errors over different time scales. Finally, numerical examples verify that the proposed model can effectively support the secure and low-carbon operation of complex distribution networks with high photovoltaic penetration. © 2024 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:36 / 45
页数:9
相关论文
共 26 条
  • [1] YUE Yuanyuan, WANG Zhuding, WANG Hui, Et al., Day-ahead optimal dispatch for active distribution network considering action cost of devices, Electric Power, 56, 8, pp. 136-142, (2023)
  • [2] YUAN Changhao, ZHU Jinda, NI Jianfu, Coordinated voltage optimization method in distribution network with distributed photovoltaic, Electric Power Engineering Technology, 42, 6, pp. 74-82, (2023)
  • [3] RONG Shimin, WANG Cong, HE Chunguang, Et al., Research on distribution network planning optimization based onurban energy internet, Journal of Electric Power Science and Technology, 37, 5, pp. 66-72, (2022)
  • [4] HU Kaiqiang, CAI Zexiang, CAI Yu, Et al., Micro-service scheduling model and optimization for protection and control service of distribution network considering the virtualization delay, Journal of Shanghai Jiaotong University, pp. 1-18
  • [5] HOSSEIN H, ZENG Bo, Distribution system reconfiguration under uncertain load and renewable generation, IEEE Transactions on Power Systems, 31, 4, pp. 2666-2675, (2016)
  • [6] FANG Xiaolun, YANG Qiang, YAN Wenjun, Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration, Protection and Control of Modern Power Systems, 7, 3, pp. 508-522, (2022)
  • [7] ZHAO Shengju, YAO Li, LIN Jikeng, Et al., Fast multi-stage reconfiguration method for distribution system based on greedy algorithm, Electric Power, 55, 6, pp. 33-41, (2022)
  • [8] ZHANG Zekun, YANG Jie, LIU Nian, A bi-level topology similarity-based optimal reconfiguration method for distribution, Power System Technology, pp. 1-12
  • [9] YANG Huping, LI Xiaoxin, CAO Zhengdong, Et al., A two-stage dynamic reconfiguration method for distribution networks considering wind and solar power, Power System Protection and Control, 51, 21, pp. 12-21, (2023)
  • [10] WANG Zihan, GAO Hongjun, GAO Yiwen, Et al., Multilevel dynamic reconfiguration and operation optimization method for an urban distribution network based on deep reinforcement learning, Power System Protection and Control, 50, 24, pp. 60-70, (2022)