电力系统自动化2025，Vol.49Issue(9)：61-72,12.DOI:10.7500/AEPS20240701001
基于可调资源可行域模型的时序-概率电力电量平衡理论
Time-series-Probabilistic Power and Energy Balancing Theory Based on Feasible Region Model of Adjustable Resources
摘要
Abstract
In the high proportion of renewable energy power system with wind and photovoltaic power as the main power supply,the output condition of the power supply with strong random fluctuation is complicated and changeable,so it is urgent to introduce probabilistic method to achieve full coverage of the power and energy balance.The joint participation of various adjustable resources such as source,load and storage in power and energy balancing creates strong time-series coupling.How to incorporate time-series coupling effects in the probabilistic power and energy balancing analysis has become a critical challenge.This paper proposes a time-series-probabilistic power and energy balancing theory that introduces high-dimensional feasible regions to characterize the time-series coupling characteristics of multiple adjustable resources.Combining with the distribution functions of regulation demands,a new criterion of power and energy balance is constructed through the probability of the adjustable resource feasible region covering the regulation demands,which realizes the effective analysis of power and energy balance of high proportion of renewable energy power system.关键词
电力电量平衡/时序耦合/概率平衡/可调资源/可行域Key words
power and energy balancing/time-series coupling/probabilistic balance/adjustable resource/feasible region引用本文复制引用
林弋莎,鲁宗相,乔颖,李海波..基于可调资源可行域模型的时序-概率电力电量平衡理论[J].电力系统自动化,2025,49(9):61-72,12.基金项目
国家自然科学基金资助项目(U23B20111). This work is supported by National Natural Science Foundation of China(No.U23B20111). （U23B20111）
