Offer Curve Generation for the Energy Storage System as a Member of the Virtual Power Plant in the Day-Ahead Market

被引：14

作者：

Kim, Sooyeon ^{[1
]}

Kwon, Wook-Hyun ^{[1
]}

Kim, Hyeon-Jin ^{[1
]}

Jung, Kyemyung ^{[2
]}

Kim, Gi Soo ^{[3
]}

Shim, Taehyoung ^{[4
]}

Lee, Duehee ^{[1
]}

机构：

[1] Konkuk Univ, Dept Elect Engn, Seoul, South Korea

[2] Jubix Co Ltd, Suwon, South Korea

[3] Seondo Elect Co Ltd, Ansan, South Korea

[4] ETRI, Daejeon, South Korea

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2019年 / 14卷 / 06期

基金：

新加坡国家研究基金会;

关键词：

Energy storage system; Offer curve; Day-ahead market; Virtual power plant; WIND POWER;

D O I：

10.1007/s42835-019-00271-1

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We build an offer curve for an energy storage system (ESS), which is a member of the virtual power plant (VPP) with photovoltaic (PV) modules and load. The offer curve should be built based on the optimal VPP operations while having many pairs of bidding prices and amounts in order to respond to unknown prices. Therefore, we propose the VPP operation strategy and predict the scenarios of DA electricity prices, PV outputs, and load separately by using three autoregressive models. Then, we build the offer curve for the ESS at each hour for 24 h by considering optimal VPP operations and three predicted scenarios. Finally, we verify the optimality of the VPP operation strategy by comparing it to a fixed-time strategy. We also compare the profit of our ESS offer curve to that resulting from a single offer.

引用

页码：2277 / 2287

页数：11

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