电力系统保护与控制2025，Vol.53Issue(17)：67-78,12.DOI:10.19783/j.cnki.pspc.241160
基于前景理论的居民小区负荷日前随机优化调度策略
Day-ahead stochastic optimal scheduling strategy for residential community loads based on prospect theory
摘要
Abstract
With the continuous increase in residential electricity consumption,the potential for demand-side flexible loads to participate in demand response(DR)has become significant.To address the scheduling challenges of flexible loads in residential communities participating in DR under residents'bounded rationality,an energy usage model of household appliances,a stochastic user behavior model,and a comfort value model are constructed.Combined with relevant residents'travel and weather forecast data,time-of-use pricing,and DR policy information from the grid,a day-ahead stochastic optimal dispatch model is developed based on prospect theory(PT),generating day-ahead scheduling plans.This paper provides reliable data for optimizing dispatch in residential communities and realistically simulates residents'decision-making psychology in DR participation.Finally,the model is validated in a real residential community in Gansu.The results show that the bounded rationality of decision-makers significantly affects the optimal scheduling of residential communities,and that the PT-based day-ahead stochastic load optimization model can maximize overall benefits while ensuring user comfort.关键词
需求响应/前景理论/居民小区/随机优化/舒适度价值Key words
demand response/prospect theory/residential community/stochastic optimization/comfort value引用本文复制引用
李恒杰,刘依环,曾贤强,谢兴峰,马喜平..基于前景理论的居民小区负荷日前随机优化调度策略[J].电力系统保护与控制,2025,53(17):67-78,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.52167014). 国家自然科学基金项目资助(52167014) （No.52167014）
