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-Reference-Cited by-同舟云学术

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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

Published:2024-10 Issue: Volume:306 Page:132388
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Jiang Yuzheng^ORCID,Dong Jun,Huang Hexiang

Publisher

Elsevier BV

Reference41 articles.

1. Energy storage operation and electricity market design: on the market power of monopolistic storage operators;Bjørndal;Eur J Oper Res,2023

2. Uncertainties of virtual power plant: problems and countermeasures;Yu;Appl Energy,2019

3. A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems;Nosratabadi;Renew Sustain Energy Rev,2017

4. Virtual power plant models and electricity markets - a review;Naval;Renew Sustain Energy Rev,2021

5. Economic assessment of virtual power plants in the German energy market — a scenario-based and model-supported analysis;Loßner;Energy Econ,2017

Cited by 1 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. Optimal Bidding Scheduling of Virtual Power Plants Using a Dual-MILP (Mixed-Integer Linear Programming) Approach under a Real-Time Energy Market;Energies;2024-07-31

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