Decentralized frequency regulation service provision for virtual power plants: A best response potential game approach

投标 需求响应 服务(商务) 博弈论 计算机科学 环境经济学 微观经济学 经济 工程类 电气工程 经济
作者
Xiaotian Sun,Haipeng Xie,Dawei Qiu,Yunpeng Xiao,Zhaohong Bie,Goran Štrbac
出处
期刊:Applied Energy [Elsevier BV]
卷期号:352: 121987-121987 被引量:8
标识
DOI:10.1016/j.apenergy.2023.121987
摘要

The high-renewable-penetrated power system frequently requires frequency regulation services. By aggregating heterogeneous demand-side flexible resources, the virtual power plants (VPP) are able to quickly respond to the frequency regulation signal, enabling them promising frequency regulation service providers. However, due to the difference in ownership, it is unlikely that the self-interested demand-side resources are willing to follow the VPP-oriented dispatch results. To bridge this gap, this paper proposes a decentralized game-based mechanism for the frequency regulation service provision inside the VPP. Firstly, the supply function-based bidding models of aggregated demand-side resources, namely, demand-side flexible resources and renewable distributed generations, are established. Then, a non-cooperative generalized Nash game for frequency regulation service provision is formulated. The existence, uniqueness, and competitive efficiency loss of the game are analyzed by designing an equivalent best response potential game of the original game. Additionally, a decentralized look-ahead real-time market clearing mechanism for frequency regulation service provision inside the VPP is proposed based on dual decomposition algorithm. Finally, the effectiveness and computation efficiency of the proposed method are validated in the case studies. Meanwhile, it is shown that the competition efficiency loss can be effectively reduced from around 80% to 6% when increasing the demand-side resource population from 20 to 2000 as well as balancing the demand-side resource composition.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zzzz发布了新的文献求助10
刚刚
Down发布了新的文献求助10
1秒前
peiyi发布了新的文献求助10
1秒前
zz完成签到,获得积分10
1秒前
英姑应助外向寄云采纳,获得10
2秒前
未晞发布了新的文献求助10
2秒前
bing完成签到,获得积分10
2秒前
袁rrrr完成签到,获得积分10
2秒前
2秒前
2秒前
中国大陆发布了新的文献求助20
2秒前
yeyeye完成签到,获得积分10
3秒前
3秒前
猎空完成签到,获得积分10
3秒前
CR完成签到,获得积分20
3秒前
4秒前
科研通AI6.2应助Remember采纳,获得10
4秒前
5秒前
Cancellerzz完成签到,获得积分10
5秒前
yeyeye发布了新的文献求助10
5秒前
6秒前
Eureka关注了科研通微信公众号
6秒前
6秒前
Tu0v0完成签到,获得积分10
6秒前
肘子发布了新的文献求助10
6秒前
丘比特应助赵小坤堃采纳,获得10
7秒前
7秒前
糊糊完成签到,获得积分10
7秒前
慕青应助洛宁采纳,获得10
7秒前
7秒前
hh完成签到,获得积分10
8秒前
moboneone完成签到,获得积分10
8秒前
大鱼发布了新的文献求助10
9秒前
积极涵阳发布了新的文献求助10
9秒前
爆米花应助WY采纳,获得30
9秒前
doller应助好好好采纳,获得10
9秒前
小马甲应助大眼瞪小眼采纳,获得10
9秒前
Lucas应助专注的尔云采纳,获得10
9秒前
10秒前
ivvi发布了新的文献求助10
10秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Decentring Leadership 800
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
Genera Orchidacearum Volume 4: Epidendroideae, Part 1 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6287470
求助须知:如何正确求助?哪些是违规求助? 8106325
关于积分的说明 16955749
捐赠科研通 5352683
什么是DOI,文献DOI怎么找? 2844536
邀请新用户注册赠送积分活动 1821698
关于科研通互助平台的介绍 1677987