A study on the bidding strategy of the Virtual Power Plant in energy and reserve market

被引：17
|
作者：
Huy Nguyen-Duc [1 ]
Nhung Nguyen-Hong [1 ]
机构：
[1] Hanoi Univ Sci & Technol, Sch Elect Engn, Hanoi 10000, Vietnam
来源：
ENERGY REPORTS | 2020年 / 6卷
关键词：
Electricity market; Energy storage; Robust optimization; Spinning reserve; Virtual Power Plant;
D O I：
10.1016/j.egyr.2019.11.129
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper studies the bidding strategy of a Virtual Power Plant (VPP) in a market of energy and regulation service. The operation of distributed energy resources (DER) and battery energy storage inside the VPP is analyzed. A bidding strategy of the VPP including the spinning reserve contract and day-ahead offering/bidding contract is investigated. A two-stage robust optimization model is proposed to determine the VPP's purchasing/sell power in each contract to maximize the VPP's profit. The uncertainty in the DER and demand is considered in the optimization framework. The proposed model is applied to a small VPP including the photovoltaic (PV) system, battery energy storage (BESS) equipped in a customer. (C) 2019 Published by Elsevier Ltd.
引用
收藏
页码：622 / 626
页数：5
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