电网技术2024，Vol.48Issue(4)：1593-1601,中插57-中插61,14.DOI:10.13335/j.1000-3673.pst.2023.0293
基于Fisher时段划分的配电网源-网-荷-储多时间尺度协调优化调控策略
Coordinated Multi-time Scale Optimal Regulation for Source-grid-load-storage of Distribution Network Based on Fisher Period Division
摘要
Abstract
The joint optimal regulation of the multiple controllable resources is of great significance in improving the security and economy of the distribution network operation.But it also increases the complexity of the optimization models and greatly reduces the computational efficiency.For this reason,a coordinated optimal regulation for the source-grid-load-storage of the distribution network based on the Fisher period division is proposed in this paper.Firstly,a coordinated optimization architecture for source-grid-load-storage with multi-time scales is constructed.It includes three stages,the day-ahead optimization,the intraday rolling optimization and the second-level supervisory control.Secondly,based on the source and load power interval data,a Fisher optimal period division is presented.Then,the day-ahead optimization model,the intraday rolling optimization model and the regional autonomous optimization model are formulated to obtain the optimal regulation schemes for the discrete equipment,the demand response loads,the photovoltaics and the energy storages.Finally,taking the IEEE 33-node system as an example,the proposed coordinated optimization control strategy is verified by simulation.The numerical results show that the proposed method is able to effectively improve the computational efficiency of the coordinated optimization model,ensuring the security and economy of the power grid operation.关键词
主动配电网/时段划分/源-网-荷-储/优化调控Key words
active distribution network/period division/source-grid-load-storage/optimal regulation分类
信息技术与安全科学引用本文复制引用
柴园园,赵晓波,吕超贤,梁天龙,董逸超..基于Fisher时段划分的配电网源-网-荷-储多时间尺度协调优化调控策略[J].电网技术,2024,48(4):1593-1601,中插57-中插61,14.基金项目
国家自然科学基金项目(52207089) （52207089）
河北省高等学校科学技术研究重点项目(ZD2022131) （ZD2022131）
省部共建电工装备可靠性与智能化国家重点实验室优秀青年创新基金项目(EERI_OY2022004).Project Supported by National Natural Science Foundation of China(52207089) （EERI_OY2022004）
Key Science and Technology Research Project of Colleges and Universities in Hebei Province(ZD2022131)and Fund of State Key Laboratory of Reliability and Intelligence of Electrical Equipment for Young Talented Scientists(EERI_OY2022004). （ZD2022131）
