Methods for Characterizing Flexibilities from Demand-Side Resources and Their Applications in the Day-Ahead Optimal Scheduling

被引：0
|
作者：
Wu J. [1 ]
Ai X. [1 ]
Hu J. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing
来源：
Hu, Junjie (junjiehu@ncepu.edu.cn) | 1973年 / China Machine Press卷 / 35期
关键词：
Day-ahead optimal scheduling; Flexibilities from demand-side resources; Generalized virtual battery model; Reserve capacity; Transactive platform;
D O I：
10.19595/j.cnki.1000-6753.tces.190400
中图分类号：
学科分类号：
摘要：
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. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
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页码：1973 / 1984
页数：11
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