中文摘要：

随着能源互联网技术的发展,源-网-荷互动和热、电等多能源互动成为解决分布式能源（distributed energy resource,DER）系统高可靠性和效率利用的有效方案。采用虚拟电厂（virtual pow er plant,VPP）协调各机组运行,引入源-网-荷互动模型,用来描述不同类型电源和负荷之间的互相支持和电量交易,引入热电联产（combined heat and pow er,CHP）系统,建立考虑多能互补的需求响应（demand response,DR）互动优化模型,实现虚拟电厂内部的协调互动。考虑虚拟电厂收益最大化与电力公司热电负荷补偿成本最小化这2个目标,建立多目标互动优化模型,采用遗传算法对模型进行求解。算例的仿真结果验证了该策略和模型的有效性。

英文摘要：

With the development of energy internet, source-grid-load interaction and multi-energy interaction （ such as heat, power, etc. ） have become an effective approach to improve the reliability and efficiency of distributed energy resource （DER） system. This paper uses virtual power plant （VPP） to coordinate the operation of each unit, and introduces source- grid-load interaction model to describe the electricity trading and the mutual support between different types of power and loads. Then, this paper introduces combined heat and power （CLIP） system, and establishes a multi-energy based interactive optimization model considering demand response （DR） to realize the coordinated interaction of VPP. With considering the maximization of VPP revenue and the minimization of the thermal/load compensation cost of power company, this paper constructs the multi-objective interactive optimization model, and uses genetic algorithm to solve the model. The case study shows the effectiveness of the strategy and model.