Optimal operation of a virtual power plant in frequency constrained electricity market-Reference-Cited by-同舟云学术

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Optimal operation of a virtual power plant in frequency constrained electricity market

Published:2019-05-13 Issue:11 Volume:13 Page:2123-2133
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Mousavi Mohammad¹^ORCID,Rayati Mohammad¹,Ranjbar Ali Mohammad¹

Affiliation:

1. Center of Excellence in Power System Management & ControlSharif University of TechnologyTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5204

Reference27 articles.

1. Virtual power plant and system integration of distributed energy resources;Pudjianto D.;IET Renew. Power Gener.,2007

2. An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles

3. Optimized Thermal and Electrical Scheduling of a Large Scale Virtual Power Plant in the Presence of Energy Storages

4. Distributed optimal dispatch of virtual power plant via limited communication;Yang H.;IEEE Trans. Power Syst.,2013

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1. Virtual power plant formation strategy based on Stackelberg game: A three-step data-driven voltage regulation coordination scheme;Applied Energy;2025-01

2. Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm;Energy;2024-10

3. A stochastic-robust aggregation strategy for VPP to participate in the frequency regulation market via backup batteries;Journal of Energy Storage;2024-09

4. Evolution and role of virtual power plants: Market strategy with integration of renewable based microgrids;Energy Strategy Reviews;2024-05

5. Optimal Bidding Strategy for the Price-Maker Virtual Power Plant in the Day-Ahead Market Based on Multi-Agent Td3 Algorithm;2024

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