摘要
在先进量测技术与调控终端的支持下,智能楼宇中的电动汽车与空调负荷等需求侧灵活资源具有良好的功率实时响应潜力,可以通过聚合形成虚拟电厂进而参与系统调频辅助服务。为保障虚拟电厂参与调频辅助服务时的用户需求,文中提出一种智能楼宇型虚拟电厂的控制策略。首先,分析虚拟电厂的调频工作模式,并建立智能楼宇型虚拟电厂的典型需求侧资源模型和虚拟储能模型;其次,考虑调频信号与用户侧的不确定性,建立基于机会约束规划的日前优化调度模型;然后,基于成本最优的原则,实现实时的功率分配;最后,通过仿真算例验证文中所提虚拟电厂调频策略的有效性和可行性,需求侧资源的联合调度能在保障用户需求的情况下提高虚拟电厂的收益。
With the support of advanced measurement technologies and regulation terminals,demand-side flexible resources such as electric vehicles and air-conditioning loads in smart buildings have good power response potential in real time and can be aggregated to form virtual power plants to participate in frequency regulation auxiliary service of the system.To protect the needs of users when virtual power plants participate in frequency regulation auxiliary services,a control strategy for smart building-based virtual power plants is proposed in this paper.Firstly,the frequency regulation operation mode of the virtual power plant is analyzed,and a typical demand-side resource model and virtual energy storage model of the smart building-based virtual power plants are established.Secondly,considering the uncertainty of frequency regulation signal and user side,a day-ahead optimal scheduling model based on opportunity constrained planning is established.Then the real-time power allocation is realized based on the principle of cost optimization.Finally,the effectiveness and feasibility of the frequency regulation strategy of the virtual power plants proposed in this paper are verified by simulation calculations,and the joint scheduling of demand-side resources can improve the revenue of the virtual power plants while safeguarding the needs of users.
作者
湛归
殷爽睿
艾芊
陈赟
王佳裕
崔勇
ZHAN Gui;YIN Shuangrui;AI Qian;CHEN Yun;WANG Jiayu;CUI Yong(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240;State Grid Pudong Power Supply Company,SMEPC,Shanghai 200120,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China)
出处
《电力工程技术》
北大核心
2022年第6期13-20,57,共9页
Electric Power Engineering Technology
基金
国家重点研发计划资助项目(2021YFB2401203)
国家电网有限公司科技项目(52092121004R)。
关键词
虚拟电厂
调频辅助服务
智能楼宇
电动汽车
空调负荷
需求侧资源
virtual power plant(VPP)
frequency regulation auxiliary service
smart building
electric vehicle
air-conditioning load
demand-side resource
