现如今能源问题逐步受到重视，分布式发电(distributed generation，DG)以及网络通信技术的发展为更好地缓解能源需求紧张，改善环境问题，提高可再生能源渗透率等系列问题提供了可能。但到目前为止，传统的虚拟电厂(virtual power plant, VPP)优化研究更侧重于内部DG能量调配以及对外网提供市场交易等辅助服务方面，未能很好地考虑用户需求侧的负荷多样性和用电灵活性，以及其作为需求侧响应参与内部能源调配的主动性和互动性等突出问题。该文在此基础上，运用非合作博弈理论构建发电侧和用户需求侧的互动模型。此模型为解决提升发电侧与用户需求侧的互动灵活度等一系列问题提供了理论基础，并同时考虑用户满意度，以各自效用最大化为目标进行博弈寻优运算。仿真结果验证了所提理论的可行性，结果表明，此方法相比于VPP传统优化方案可实现兼顾用户满意度的用户负荷侧经济最优以及发电侧效用最优，并且有效地提高了可再生能源利用率，进而实现了VPP经济优化运行。

Nowadays the energy problems are gradually paid attention, the development of distributed generation(DG) and network communication technology relieves the strain on energy demand, improves the environment problems, and increases the permeability of renewable energy. But up to the present day, the optimization study of the common virtual power plant(VPP) focuses more on the energy scheduling of the internal DGs and the supply of the ancillary services such as market transactions for the external power grid etc. However, the common research fails to consider the load diversity and the electricity flexibility of the user demand, and the initiative and interactivity participating in internal energy scheduling as resources of demand side response. On this basis, the non-cooperative game theory is employed to build the interaction model of the power generation side and the demand side of users in this study. This model provides a theoretical basis to solve problems such as how to improve the interaction flexibility between the power generation side and the demand side of users, considering the satisfaction of users, gaming with their respective maximization of benefit as the goal. The simulation results verify the feasibility of the proposed theory, and compared with the traditional VPP optimization solution the method can realize the economic optimality of both the power generation side and the users' load side considering the users' satisfaction. Moreover, the proposed method improves the utilization rate of renewable energy and realizes the economic optimal operation of the VPP.