分布式能源2026，Vol.11Issue(2)：11-20,10.DOI:10.16513/j.2096-2185.DE.26110042
计及源储协同面向就地消纳与供电可靠性的储能优化规划方法
Energy Storage Optimal Planning Method Considering Generation-Storage Coordination for Local Consumption and Power Supply Reliability
摘要
Abstract
To address the interconnected challenges of bus voltage limit violations,reverse power flow overloading,and deteriorated power supply reliability caused by high-penetration distributed renewable energy integration,this paper proposes an energy storage optimal planning method considering generation-storage coordination for local consumption and power supply reliability.An energy storage optimal planning model is established,aiming to minimize the annualized comprehensive cost(including energy storage investment and renewable curtailment penalties)while optimizing voltage fluctuation and net load fluctuation.The non-convex nonlinear model is solved using an improved multi-objective particle swarm optimization algorithm.By incorporating an adaptive inertia weight mechanism and a dynamic crowding distance-based non-dominated solution set update strategy,the algorithm effectively avoids premature convergence and local optima traps.Simulation results based on the IEEE 33-bus distribution network demonstrate that the"storage configuration+reasonable curtailment of renewable energy"scheme increases renewable energy local utilization by 12%and reduces annualized comprehensive cost by 5.6%compared to the"reasonable curtailment of renewable energy"scheme,while achieving a 7.5%cost reduction compared to the"storage configuration"scheme alone.关键词
分布式新能源/节点电压越限/反向重过载/供电可靠性/源储协同Key words
distributed renewable energy/bus voltage limit violation/reverse power flow overload/power supply reliability/generation-storage coordination分类
能源科技引用本文复制引用
马会萌,李相俊,修晓青,甘智勇,张利,贺春..计及源储协同面向就地消纳与供电可靠性的储能优化规划方法[J].分布式能源,2026,11(2):11-20,10.基金项目
This work is supported by Science and Technology Program of Tianjin,China(No.24ZXKJGX00040)and Science and Technology Project of State Grid Tianjin Electric Power Company(No.Electric Science-S&T Project 2025-13). 天津市科技计划项目(24ZXKJGX00040) （No.24ZXKJGX00040）
国网天津市电力公司科技项目(电科-科技项目2025-13) （电科-科技项目2025-13）
