考虑“源储荷”协同的主动配电网双层优化配置  

Bi-level Optimal Configuration of Active Distribution Network Considering Source-Storage-Load Coordination

作　　者：李振坤 徐廷君 LI Zhenkun;XU Tingjun(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学电气工程学院,上海200090

出　　处：《智慧电力》2025年第3期77-83,共7页Smart Power

基　　金：国家自然科学基金资助项目(52177098)。

摘　　要：储能装置并网已有规模化发展趋势,为考虑储能装置的能量存储和主动调节作用对分布式电源(DG)并网规划的影响,提出一种考虑“源储荷”协同的主动配电网双层优化配置模型。上层模型建立以DG和储能装置并网投资运营成本最低为目标,进行其选址定容优化规划;下层模型综合考虑DG运行经济效益和配电网有功网损,以电网运行效益最优为总目标,优化DG和储能装置的综合出力状态。为改善多目标函数求解质量,采用改进的粒子群算法(PSO)求解模型。通过对实际配电网简化的69节点配电系统进行仿真,验证了所提模型和方法的有效性,在实现优化目标的同时,该方案能保证电网的安全性、经济性与可靠性。With the large-scale development trend of energy storage devices connected to the grid,this paper proposes a bi-level optimal configuration model for active distribution networks considering source-storage-load coordination to account for the energy storage and active regulation effects of the energy storage devices on distributed generation planning.The upper-level model aims to minimize the investment and operational costs of the distributed generation and energy storage devices,optimizing their siting and capacity planning.The lower-level model comprehensively considers the economic benefits of distributed generation operation and the active power loss of the distribution network,with the optimal operational efficiency of the grid as the overall objective,optimizing the comprehensive output state of the distributed generation and energy storage devices.To improve the solution quality of the multiobjective function,an improved particle swarm optimization(PSO) algorithm is used to solve the model.The effectiveness of the proposed model and method is verified through the simulation of a simplified 69-node distribution system based on an actual distribution network.The proposed scheme ensures the safety,economy,and reliability of the grid while achieving optimization objectives.

关 键 词：分布式电源 储能装置“ 源储荷”协同 粒子群算法 优化配置 

分 类 号：TM732[电气工程—电力系统及自动化]