Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning-Reference-Cited by-同舟云学术

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Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning

Published:2022-01 Issue: Volume:306 Page:117900
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Li Jiawen,Yu Tao,Zhang Xiaoshun

Funder

National Natural Science Foundation of China

South China University of Technology

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations;Zhang;IEEE Trans Ind Appl,2021

2. Optimal Coordination of Electric Vehicles for Virtual Power Plants With Dynamic Communication Spectrum Allocation;Zhou;IEEE Trans Ind Inform,2021

3. A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks;Ji;Appl Energy,2018

4. Coordinated control method of voltage and reactive power for active distribution networks based on soft open point;Li;IEEE Trans Sustain Energ,2017

5. Robust operation of soft open points in active distribution networks with high penetration of photovoltaic integration;Ji;IEEE Trans Sustain Energ,2018

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3. A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep reinforcement learning;Applied Energy;2024-11

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