| 引用本文: | 李恒杰,刘依环,曾贤强,等.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.[点击复制] |
| LI Hengjie,LIU Yihuan,ZENG Xianqiang,et al.Day-ahead stochastic optimal scheduling strategy for residential community loads based on prospect theory[J].Power System Protection and Control,2025,53(17):67-78[点击复制] |
|
| 摘要: |
| 随着居民用电量占比逐年上升，需求侧柔性负荷在参与需求响应(demand response, DR)中凸显出巨大的可调度潜力。为解决居民小区柔性负荷在居民有限理性下参与DR的调度问题，通过构建小区设备用能模型、用户随机行为模型、舒适度价值模型，结合小区居民出行与天气预测数据，以及电网颁布的分时电价、需求响应政策信息，建立了基于前景理论(prospect theory, PT)的居民小区日前随机优化调度模型，生成日前调度计划。该研究为现实居民小区的优化调度研究提供了可靠的用能数据参考，同时更真实地模拟了居民在需求响应中的决策心理状态。最后，模型在甘肃某实际居民小区进行验证，结果表明，决策主体的有限理性状态显著影响居民小区的优化调度，基于PT的居民小区负荷日前随机优化模型可以在保障用户舒适度的情况下实现综合效益最大化。 |
| 关键词: 需求响应 前景理论 居民小区 随机优化 舒适度价值 |
| DOI：10.19783/j.cnki.pspc.241160 |
| 投稿时间：2024-08-30修订日期：2025-02-20 |
| 基金项目:国家自然科学基金项目资助(52167014) |
|
| Day-ahead stochastic optimal scheduling strategy for residential community loads based on prospect theory |
| LI Hengjie1,LIU Yihuan1,ZENG Xianqiang1,XIE Xingfeng1,MA Xiping2 |
| (1. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2. Electric Power Research Institute, State Grid Gansu Electric Power Co., Ltd., Lanzhou 730070, China) |
| 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. |
| Key words: demand response prospect theory residential community stochastic optimization comfort value |
