| 引用本文: | 陈 鑫,王 果,闵永智,等.计及低碳与经济的配电网源-网-荷-储协同规划模型[J].电力系统保护与控制,2025,53(7):1-15.[点击复制] |
| CHEN Xin,WANG Guo,MIN Yongzhi,et al.A source-network-load-storage collaborative planning model for a distribution network considering low carbon and economy[J].Power System Protection and Control,2025,53(7):1-15[点击复制] |
|
| 摘要: |
| “双碳”目标下为加强配电网层面供-需双向支撑能力，实现更精细规划，考虑源、网、荷、储协同参与，提出一种计及低碳与经济的配电网源-网-荷-储协同规划模型。首先，描述源、荷出力时序特性与负荷需求响应。然后，联合多灵活资源与主动管理措施建立源-网-荷-储三层规划运行模型。上层规划层以综合成本低、碳排放量少为原则进行源、网、储的选址定容；中层调度层以“双碳”政策、经济运行、电压优质为导向进行源、网、荷、储各主体的出力方案调度；下层重构层以网侧有功损耗最小为目标进行网架拓扑重构。针对模型特征，上层、中层用改进的快速非支配排序遗传算法(improved non-dominated sorting genetic algorithm-II, INSGA2)与模糊隶属度方法结合求解，下层采用改进遗传算法(improved genetic algorithm, IGA)求解。最后，采用西北某地区实际数据进行仿真分析。结果表明，所提方法可适应“双碳”目标，提高规划调度经济性，确定主动管理措施运行方案，有效削峰填谷，优化网架结构。 |
| 关键词: 配电网规划 源网荷储三层协同 低碳 经济 优质 |
| DOI：10.19783/j.cnki.pspc.240406 |
| 投稿时间：2024-04-06修订日期：2024-08-13 |
| 基金项目:国家自然科学基金项目资助(52467007)；甘肃省重点研发科技计划项目资助(22YF11GA298)；国网陕西省电力公司科技项目资助(SGSNAK00FCJS2401176)；强电磁技术全国重点实验室开放课题资助(AET 2023KF004) |
|
| A source-network-load-storage collaborative planning model for a distribution network considering low carbon and economy |
| CHEN Xin1,WANG Guo1,MIN Yongzhi1,GE Leijiao1,2,LI Rui1,LI Zheng3 |
| (1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China;
3. Gansu Academy of Transportation Sciences Research Group Co., Ltd., Lanzhou 730070, China) |
| Abstract: |
| To strengthen the bidirectional supply-demand support capability at the distribution network level and achieve more refined planning under the “dual-carbon” target, this paper proposes a source-network-load-storage collaborative planning model of distribution networks, considering both low carbon and economy. First, the sequential characteristics of source and load output and load demand response are described. Second, a three-layer planning operation model of source-network-load-storage is established by combining multiple flexible resources and active management measures. The upper planning layer selects the location and capacity of the source, network and storage based on the principle of low comprehensive cost and low carbon emission. The middle scheduling layer optimizes the output scheduling of the main body of the source, network, load and storage, guided by the “dual-carbon” policy, economic operation and voltage quality. The lower reconfiguration layer reconstructs the network topology to minimize active power loss on the network side. Then, according to the characteristics of the model, the upper and middle layers are solved by the improved non-dominated sorting genetic algorithm-II (INSGA2) and the fuzzy membership degree method, while the lower layer is solved by an improved genetic algorithm (IGA). Finally, a case study is conducted using real data from a northwestern region of China. Simulation results show that the proposed method can adapt to the “dual-carbon” target, improve the economy of planning and dispatching, determine optimal active management strategies, provide effective peak shaving and valley filling, and optimize grid structure. |
| Key words: distribution network planning three-layer source-network-load-storage coordination low carbon economy high quality |
