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

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 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.

Язык: 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, Год журнала: 2025, Номер 383, С. 125414 - 125414

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

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

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 136075 - 136075

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

1

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

Renewable Energy, Год журнала: 2024, Номер 231, С. 120854 - 120854

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

7

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

Electric Power Systems Research, Год журнала: 2024, Номер 233, С. 110455 - 110455

Опубликована: Май 11, 2024

Язык: Английский

Процитировано

3

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

Shiwang Li,

Ping He

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июнь 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

Язык: Английский

Процитировано

1

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

Qi Shao

и другие.

Information Sciences, Год журнала: 2024, Номер 679, С. 121106 - 121106

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

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

Herwan Sulaiman,

Asma Ferdowsi

и другие.

Results in Control and Optimization, Год журнала: 2024, Номер unknown, С. 100465 - 100465

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

0

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

Shiwang Li,

Ping He

и другие.

Electrical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Окт. 17, 2024

Язык: Английский

Процитировано

0

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

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0