文献类型：期刊文献

中文题名：计及用户需求响应的电热综合能源系统博弈优化策略

英文题名：Game optimisation strategies for electricity and heat integrated energy systems accounting for user demand response

作者：彭爽 杨仁增 何旺

第一作者：彭爽

机构：[1]贵州大学电气工程学院,贵阳550025;[2]贵州理工学院贵州省电力大数据重点实验室,贵阳550003;[3]贵州电网有限责任公司毕节供电局,贵州毕节550081

第一机构：贵州大学电气工程学院,贵阳550025

年份：2025

卷号：15

期号：1

起止页码：123-129

中文期刊名：智能计算机与应用

外文期刊名：Intelligent Computer and Applications

基金：贵州省科技基金(黔科合基础20181068)。

语种：中文

中文关键词：综合能源系统;需求响应;演化博弈;定价策略;蚁狮算法

外文关键词：integrated energy system;demand response;evolutionary game;pricing strategy;Ant Lion algorithm

摘要：由于传统集中式优化方法难以揭示多主体之间的交互作用,电力企业和消费者间的利益博弈关系有待进一步研究,本文提出一种基于演化博弈的考虑需求响应电热综合能源系统双层协同优化模型。首先对含电热气综合能源系统的互动优化进行建模,上层运营商将售能价格发给用户,下层用户群通过调节自身用能策略并提交给运营商,以及运营商针对用户响应程度的反馈,调节供能价格,两者都以自身收益的最大化为目标,直至双方实现博弈决策平衡。最后,以中国某实际工业园区为算例进行了研究,用双层协同优化模式——蚂蚁狮子优化算法和YALMIP+GUROBI优化包在MATLAB环境下实现求解,并论证了该运行方案,该方案将有助于改善综合能源体系中的社会福利。
This paper proposes a two-layer collaborative optimization model for demand responsive electric heating integrated energy systems based on evolutionary games because traditional centralized optimization methods struggle to reveal the interaction between multiple agents and the game relationship between integrated energy operators and users needs further exploration.The integrated energy system with electric heating gas is first modeled for interactive optimization.While the lower level user groups modify their energy consumption tactics and report them to the operators,the top level operators communicate energy sales prices to consumers.The operators respond to consumer comments and modify the cost of energy supply.Until a game equilibrium is established,each player tries to maximize their own interests.Finally,a two-layer collaborative optimization model-Ant Lion Optimization Algorithm and YALMIP+GUROBI Optimization Package-was used to solve in the MATLAB environment,showing that this operating strategy can enhance the social welfare of the comprehensive energy system.The analysis used an actual industrial park in China as the example.