Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm DOI Creative Commons
Guoyuan Qi, Lingxiao Fu, Meng Wang

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Compared to individual microgrid, multi-microgrid (MMG) system can enhance the overall utilization of renewable energy, effectively improve operational stability local microgrids, and reduce dependence on main grid. However, energy management MMG encounters significant challenges due complex interaction between different microgrids. To tackle this issue, paper introduces a non-cooperative gamebased optimal scheduling market trading model for composed various sources, completing trade decisions while ensuring information independence. Considering real-time changes in environmental transition functions scenarios, multi-agent deep deterministic policy gradient (MADDPG) algorithm is employed, which modifies experience replay mechanism Markov process basic (DDPG) algorithm. traditional algorithms, method presented does not require predictions state variables, achieves end-to-end training from agent states actions, ensures security autonomous decision-making each microgrid.

Language: Английский

A normalized deep neural network with self-attention mechanisms based multi-objective multi-verse optimization algorithm for economic dispatch DOI
Linfei Yin, R.-W. Liu

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125414 - 125414

Published: Jan. 24, 2025

Language: Английский

Citations

2
Dynamic distributed multi-objective mantis search algorithm based on Transformer hybrid strategy for novel power system dispatch DOI
Quan Lu, Zeng Hua-qun, Linfei Yin

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136075 - 136075

Published: April 1, 2025

Language: Английский

Citations

1
A techno-economic framework for optimizing multi-area power dispatch in microgrids with tie-line constraints DOI
Muhammad Khalid

Renewable Energy, Journal Year: 2024, Volume and Issue: 231, P. 120854 - 120854

Published: June 25, 2024

Language: Английский

Citations

7
An extended incremental technique for solving economic dispatch with practical considerations DOI
Hossein Sharifzadeh

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 233, P. 110455 - 110455

Published: May 11, 2024

Language: Английский

Citations

3
Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm DOI Creative Commons
Xiaopeng Wu,

Shiwang Li,

Ping He

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 11, 2024

Abstract This paper investigates the economic dispatch (ED) problem of multi-microgrids considering flexible loads based on distributed consensus algorithm. Firstly, structure topology diagram generator nodes is designed global interconnection multi-microgrids, then load considered as adjustable and be added into fixed loads. Next, a (MMED) model which contained constructed with goal minimizes operating cost entire system. The proposed MMED two-layer coordinated optimization model. power transmission between each microgrid used layer framework, internal costs single sub-microgrid framework. algorithm to solve constraint condition generators in microgrid. Finally, some examples illustrate that method can not only optimize operation microgrid, but also maintains stability through adjustment load, reduces total whole

Language: Английский

Citations

1
Topological clustering particle swarm optimizer based on adaptive resonance theory for multimodal multi-objective problems DOI
Qi Yao, Shunkun Yang,

Qi Shao

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 679, P. 121106 - 121106

Published: Sept. 1, 2024

Language: Английский

Citations

1
THE SUPERIORITY OF FEASIBLE SOLUTIONS-MOTH FLAME OPTIMIZER USING VALVE POINT LOADING DOI Creative Commons
Mohammad Khurshed Alam,

Herwan Sulaiman,

Asma Ferdowsi

et al.

Results in Control and Optimization, Journal Year: 2024, Volume and Issue: unknown, P. 100465 - 100465

Published: Sept. 1, 2024

Language: Английский

Citations

0
Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm DOI
Xiaopeng Wu,

Shiwang Li,

Ping He

et al.

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Language: Английский

Citations

0
Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm DOI Creative Commons
Guoyuan Qi, Lingxiao Fu, Meng Wang

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Compared to individual microgrid, multi-microgrid (MMG) system can enhance the overall utilization of renewable energy, effectively improve operational stability local microgrids, and reduce dependence on main grid. However, energy management MMG encounters significant challenges due complex interaction between different microgrids. To tackle this issue, paper introduces a non-cooperative gamebased optimal scheduling market trading model for composed various sources, completing trade decisions while ensuring information independence. Considering real-time changes in environmental transition functions scenarios, multi-agent deep deterministic policy gradient (MADDPG) algorithm is employed, which modifies experience replay mechanism Markov process basic (DDPG) algorithm. traditional algorithms, method presented does not require predictions state variables, achieves end-to-end training from agent states actions, ensures security autonomous decision-making each microgrid.

Language: Английский

Citations

0