面向多能互补需求响应的用户侧资源时空协同聚合调控优化方法

孙中伟; 刘希; 丁添; 叶宇鸿; 潘超; 周振宇

孙中伟,刘希,丁添,叶宇鸿,潘超,周振宇.面向多能互补需求响应的用户侧资源时空协同聚合调控优化方法[J].电测与仪表,2026,63(4):44-54.
SUN Zhongwei,LIU Xi,DING Tian,YE Yuhong,PAN Chao,ZHOU Zhenyu.Aggregated regulation optimization method of user-side resource spatio-temporal coordination for multi-energy complementary demand response[J].Electrical Measurement & Instrumentation,2026,63(4):44-54.

面向多能互补需求响应的用户侧资源时空协同聚合调控优化方法

Aggregated regulation optimization method of user-side resource spatio-temporal coordination for multi-energy complementary demand response

DOI：10.19753/j.issn1001-1390.2026.04.005

中文关键词: 多能互补需求响应用户侧资源时空协同聚合调控多智能体柔性动作评价改进粒子群

英文关键词:multi-energy complementary demand response, user-side resource, spatio-temporal coordination aggregation regulation, multi-agent soft actor-critic, improved particle swarm

基金项目:南方电网科技项目（1500002023030103JL00320）

作者中文名	作者英文名	单位
孙中伟	SUN Zhongwei	新能源电力系统国家重点实验室华北电力大学
刘希	LIU Xi	新能源电力系统国家重点实验室华北电力大学
丁添	DING Tian	新能源电力系统国家重点实验室华北电力大学
叶宇鸿	YE Yuhong	新能源电力系统国家重点实验室华北电力大学
潘超	PAN Chao	新能源电力系统国家重点实验室华北电力大学
周振宇	ZHOU Zhenyu	新能源电力系统国家重点实验室华北电力大学

摘要点击次数: 8

中文摘要:

现有聚合调控方法忽略了用户侧资源差异化时空调控需求，无法利用多种类型能源互补特性实现综合能源系统功率供需平衡，导致聚合调控效率低、成本高。针对上述问题，文章首先考虑综合能源系统电热资源参与需求响应的调控时间尺度差异，构建用户侧资源时空协同聚合调控模型。其次，以长时间尺度优化综合能源系统热能调控成本与碳排放、短时间尺度优化电能调控与调控时延偏差成本为目标，制定用户侧资源多时间尺度聚合调控优化问题，并提出一种基于改进粒子群与多智能体柔性动作评价（multi-agent soft actor-critic，MASAC）的时空协同聚合调控优化方法进行求解。最后，对所提算法进行仿真验证。仿真结果表明，所提算法能有效提高用户侧资源时空协同聚合调控效率，降低调控成本。

英文摘要:

The existing aggregated regulation methods neglect the differentiated spatio-temporal regulation demand of user-side resources, and cannot use the complementary characteristics of multiple types of energy to achieve the power supply and demand balance in the integrated energy system. Consequently, it leads to low efficiency and high cost of aggregation regulation. To address the above issues, this paper first considers the difference of regulation timescale of power and heat resource participation in demand response of integrated energy system. On this basis, this paper constructs a user-side resources spatio-temporal collaboration aggregation regulation model. Secondly, a multi-time scale aggregated regulation and optimization problem of user-side resources is constructed. Specificity, the optimization objective of the long timescale is the cost of heat energy regulation and carbon emission of the integrated energy system, and the short timescale is the cost of electric energy regulation and regulation delay deviation. Correspondingly, a spatio-temporal collaboration aggregation regulation optimization method based on improved particle swarm and multi-agent soft actor-critic (MASAC) is proposed to solve the problem. Finally, the proposed algorithm is verified by simulation. Simulation results show that the proposed algorithm can effectively improve the efficiency of user-side resources spatio-temporal collaboration aggregation regulation and reduce the regulation cost.

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