计及用户分级的虚拟电厂经济调度  

Virtual power plant economic dispatching considering user classification

作　　者：李英量 周丽雯 王德明 高兆迪 武晓朦[1] LI Yingliang;ZHOU Liwen;WANG Deming;GAO Zhaodi;WU Xiaomeng(School of Electronic Engineering,Xi’an Shiyou University,Xi'an 710065,China;Shaanxi Railway Institute,Weinan 714000,China)

机构地区：[1]西安石油大学电子工程学院,陕西西安710065 [2]陕西铁路工程职业技术学院,陕西渭南714000

出　　处：《电力系统保护与控制》2022年第16期121-130,共10页Power System Protection and Control

基　　金：陕西省自然科学基础研究计划项目资助(2020JM-542);国家自然科学基金企业创新发展联合基金重点项目资助(U20B2029);陕西省科技计划基础研究项目资助(2021JM-404);西安石油大学研究生创新与实践能力培养项目资助(YCS21213199)。

摘　　要：虚拟电厂(Virtual Power Plant,VPP)通过需求响应(Demand Response,DR)引导用户参与电力市场,充分发挥了分布式电源的调度灵活性。而传统的VPP调度策略局限于单一响应用户类型,为此,提出了一种计及分级用户边际停电成本的VPP经济优化调度模型,并综合考虑风、光、DR不确定性影响。首先基于各用户响应的共性及特性,建立了DR激励模型。其次以激励相容为约束,建立了兼顾系统运行成本和DR效用的VPP经济优化调度模型。最后通过算例分析验证了所提模型的可行性。结果表明,相较传统需求响应激励策略,计及用户主动性和多元性可进一步提升VPP内供需双方经济效益,实现供需侧效益均衡。A virtual power plant(VPP)guides users to participate in the electricity market through demand response(DR),giving full play to the flexibility of distributed generation dispatching.However,the traditional VPP dispatching strategy has the limitation of single user type.To tackle this limitation,this paper proposes a VPP economic optimization dispatching model which takes into account the marginal blackout cost of hierarchical users and takes into consideration the uncertainty of wind,solar and DR.First,the DR incentive model is established based on the commonality and characteristics of each user’s response behavior.Then,considering an incentive compatibility constraint,a VPP economic optimization scheduling model is constructed,one which takes into account the system operating cost and DR utility at the same time.Finally,a simulation analysis of a detailed case study verifies the feasibility of the proposed model.Compared with the traditional incentive strategy,the proposed approach,which takes into account the initiative and diversity of users,can enhance and balance the economic benefits of both supply and demand sides.

关 键 词：虚拟电厂 经济调度 需求响应 用户分级 激励策略 

分 类 号：TM73[电气工程—电力系统及自动化]