将由激励型需求响应引起的微电网用户侧的利益考虑到经典的环境经济调度模型中，提出了改进的考虑多种混合负荷的用户满意度模型，并将其作为衡量用户侧利益的标准，建立了以最小化系统运营成本、环境成本、最大化用户综合满意度为目标的多目标调度模型。为提升灰狼优化算法在多目标问题中的求解表现，利用搜索种群变异因子、收敛因子非线性化余弦变换等策略对其进行改进，并将改进的算法应用到该多目标调度模型的求解中，并基于模糊集理论从Pareto解集中选择最优折衷解，同时对不同类型用户、多种负荷响应的调度结果进行分析比较，最后，仿真结果表明，设计合理的需求响应机制能保障用户用电满意度的前提下，提高经济和环境效益，实现系统、环境和用户利益的多重共赢，为构建绿色可持续的电力管理体系提供了理论支持。

The interests of microgrid users driven by incentive-based demand response are incorporated into the classic environmental economic dispatch model. An improved electricity satisfaction model for users with diverse mixed loads is proposed, serving as a metric to evaluate user-side benefits. A multi-objective dispatch model is established with the goals of minimizing system operating costs, environmental costs, and maximizing user electricity satisfaction. In order to improve the performance of the grey wolf optimization algorithm in solving multi-objective problems, the algorithm is improved by using strategies such as searching population variation factor and nonlinear cosine transform of convergence factor. Then the improved multi-objective grey wolf algorithm is applied to solve the multi-objective dispatch model. At the same time, the optimal compromise solution is selected from the Pareto solution set based on fuzzy set theory to analyze and compare the dispatch results of various load responses and different types of users. Finally, the simulation results demonstrate that a well-designed demand response mechanism can enhance both economic and environmental benefits while ensuring user satisfaction with electricity consumption. This approach achieves a win-win situation for the power system, the environment, and users benefits, offering valuable theoretical support for the development of a green and sustainable power management system.