电工技术学报  2020, Vol. 35 Issue (9): 1973-1984    DOI: 10.19595/j.cnki.1000-6753.tces.190400
电力系统 |
需求侧资源灵活性刻画及其在日前优化调度中的应用
吴界辰, 艾欣, 胡俊杰
新能源电力系统国家重点实验室(华北电力大学) 北京 102206
Methods for Characterizing Flexibilities from Demand-Side Resources and Their Applications in the Day-Ahead Optimal Scheduling
Wu Jiechen, Ai Xin, Hu Junjie
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing 102206 China
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摘要 由于分布式能源(DERs)在配电网的渗透率不断提高以及电力改革对售电侧的放开,充分发挥需求侧资源的灵活性变得愈加重要。该文以电动汽车(EV)和暖通空调(HVAC)两种典型的需求侧资源为例,在计及设备的物理特性和人为、环境因素的影响下,采用极端能量场景方法建立通用虚拟电池(VB)模型用于刻画其资源的灵活性。在此基础上,进一步针对交互平台参与日前电力市场情况提出了日前优化调度模型。仿真算例表明基于通用VB模型的日前优化调度可以分配日前调度计划及备用容量。此外,通过仿真验证了所提模型的有效性,并结合算例结果分析了其在运算效率与信息安全方面的优越性。
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关键词 需求侧资源灵活性交互平台通用虚拟电池模型日前优化调度备用容量    
Abstract:Due to the increasing penetration of distributed energy resources (DERs) in the distribution network and the electricity market reform which allows demand side resources to participate in the electricity market, the leverage of flexibilities from demand-side resources has attracted more and more attentions. This paper takes electric vehicle (EV) and heating ventilating & air conditioning (HVAC) as the typical demand-side resources. Considering the physical characteristics of equipment, the behaviors of occupants and environmental factors, a generalized virtual battery model (VB) is established for characterizing the flexibilities using an extreme energy circumstance method. On this basis, a day-ahead optimal scheduling model is developed for the transactive platform to participate in the wholesale market. The numerical results show that the energy schedule and reserve capacity can be determined by the general VB model. In addition, the proposed model is verified by simulation, and its superiority in terms of computational efficiency and information security is analyzed.
Key wordsFlexibilities from demand-side resources    transactive platform    generalized virtual battery model    day-ahead optimal scheduling    reserve capacity   
收稿日期: 2019-04-11      出版日期: 2020-05-12
PACS: TM769  
基金资助:国家重点研发计划(2016YFB0900500)、国家自然科学基金(51877078)和北京市自然科学基金(3182037)资助项目
通讯作者: 胡俊杰 男,1986年生,副教授,硕士生导师,主要研究方向为新能源电力系统及微电网。E-mail: junjiehu@ncepu.edu.cn   
作者简介: 吴界辰 男,1991年生,博士研究生,主要研究方向为新能源电力系统及负荷建模技术。E-mail: wjcncepu@foxmail.com
引用本文:   
吴界辰, 艾欣, 胡俊杰. 需求侧资源灵活性刻画及其在日前优化调度中的应用[J]. 电工技术学报, 2020, 35(9): 1973-1984. Wu Jiechen, Ai Xin, Hu Junjie. Methods for Characterizing Flexibilities from Demand-Side Resources and Their Applications in the Day-Ahead Optimal Scheduling. Transactions of China Electrotechnical Society, 2020, 35(9): 1973-1984.
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