基于信息间隙决策理论的含BSS微电网最优调度策略  

OPTIMAL SCHEDULING STRATEGY FOR MICROGRIDS WITH BSS BASED ON INFORMATION GAP DECISION THEORY

作　　者：王子奇 侯思祖[1] Wang Ziqi;Hou Sizu(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学电气与电子工程学院,保定071003

出　　处：《太阳能学报》2025年第4期164-172,共9页Acta Energiae Solaris Sinica

基　　金：国家重点研发计划项目(2018YFF01011900)。

摘　　要：提出一种基于信息间隙决策理论(IGDT)的含换电站(BSS)微电网调度策略。构建BSS和微电网运行模型,采用更贴近工程实际的恒流-恒压方程描述充电过程,并通过分段线性化方法保持模型凸化。在此基础上建立风险规避和风险投机IGDT模型,给出不同风险偏好下的调度策略。仿真结果表明,所提策略可有效处理来自微电网运行中的多重不确定性,规避系统运行风险并降低运行成本。An optimal scheduling strategy for microgrids with battery swapping stations(BSS)based on information gap decision theory(IGDT)is proposed.The BSS and microgrid operation models are constructed.The constant current-constant voltage equations,which are closer to the engineering practice,are used to describe the charging process,while the model is kept convex through the piecewise linearization method.On this basis,the risk-averse and risk-seeking IGDT models are established,and scheduling strategies under different risk preferences are provided.Simulation results show that the proposed strategy can effectively handle multiple uncertainties from microgrid operation while mitigating operational risks and reducing operating costs.

关 键 词：电动汽车 微电网 不确定性分析 换电站 信息间隙决策理论 

分 类 号：TM732[电气工程—电力系统及自动化]