Decentralized frequency regulation service provision for virtual power plants: A best response potential game approach-Reference-Cited by-同舟云学术

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

Published:2023-12 Issue: Volume:352 Page:121987
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Sun Xiaotian^ORCID,Xie Haipeng^ORCID,Qiu Dawei,Xiao Yunpeng,Bie Zhaohong,Strbac Goran

Funder

Xi'an Jiaotong University

Shaanxi Province Natural Science Foundation

Fundamental Research Funds for the Central Universities

Natural Science Basic Research Program of Shaanxi Province

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference46 articles.

1. A review of frequency regulation markets in three U.S. ISO/RTOs;Brooks;Electr J,2019

2. An effective spinning reserve allocation method considering operational reliability with multi-uncertainties;Sun;IEEE Trans Power Syst,2023

3. Dynamic bidding strategy for a demand response aggregator in the frequency regulation market;Liu;Appl Energy,2022

4. Smart demand for frequency regulation: Experimental results;Douglass;IEEE Trans Smart Grid,2013

5. Stacked revenues for energy storage participating in energy and reserve markets with an optimal frequency regulation modeling;Mohamed;Appl Energy,2023

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated three-stage decentralized scheduling for virtual power plants: A model-assisted multi-agent reinforcement learning method;Applied Energy;2024-12

2. Non-cooperative games to control learned inverter dynamics of distributed energy resources;Electric Power Systems Research;2024-09

3. Two-stage affine assessment method for flexible ramping capacity: An inverter heat pump virtual power plant case;Applied Energy;2024-07

4. Optimal bidding strategy for multi-energy virtual power plant participating in coupled energy, frequency regulation and carbon trading markets;International Journal of Hydrogen Energy;2024-07

5. A distributed VPP-integrated co-optimization framework for energy scheduling, frequency regulation, and voltage support using data-driven distributionally robust optimization with Wasserstein metric;Applied Energy;2024-05

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