Optimization scheduling of microgrid cluster based on improved moth-flame algorithm DOI Creative Commons
Yaping Li, Zhijun Zhang,

Zhonglin Ding

и другие.

Energy Informatics, Год журнала: 2024, Номер 7(1)

Опубликована: Ноя. 15, 2024

With the rapid development of renewable energy, microgrid cluster systems are gradually being applied. To promote scheduling technology, maximize economic benefits while reducing operating cost required for scheduling, an optimized scheme is proposed by constructing a function to minimize microgrids. Then, chaos mutation and Gaussian applied improve moth-flame algorithm that easily falling into local optima. A optimization model on basis improved constructed. The experimental results showed in islanding mode was 4286.21 yuan after 160 iterations. After optimizing 3912.3 yuan, with decrease 8.7%. had stable average loss value 20% efficiency 97.19% 10–50 iterations, which significantly higher than other intelligent algorithms. This indicates has high reliability effectiveness scheduling. Therefore, effectively optimizes cluster, providing new solutions efficient utilization smart grids energy future.

Язык: Английский

Optimal scheduling of photovoltaic and battery energy storage in distribution networks using an ameliorated sand cat swarm optimization algorithm: Economic assessment with different loading scenarios DOI
Mohamed A. Elseify, Reham R. Mostafa, Fatma A. Hashim

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 116, С. 116026 - 116026

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0
Optimal amalgamation of DG units in radial distribution system for techno-economic study by improved SSA: Practical case study DOI
Omar Muhammed Neda

Electric Power Systems Research, Год журнала: 2024, Номер 241, С. 111365 - 111365

Опубликована: Дек. 18, 2024

Язык: Английский

Процитировано

2
Optimization scheduling of microgrid cluster based on improved moth-flame algorithm DOI Creative Commons
Yaping Li, Zhijun Zhang,

Zhonglin Ding

и другие.

Energy Informatics, Год журнала: 2024, Номер 7(1)

Опубликована: Ноя. 15, 2024

With the rapid development of renewable energy, microgrid cluster systems are gradually being applied. To promote scheduling technology, maximize economic benefits while reducing operating cost required for scheduling, an optimized scheme is proposed by constructing a function to minimize microgrids. Then, chaos mutation and Gaussian applied improve moth-flame algorithm that easily falling into local optima. A optimization model on basis improved constructed. The experimental results showed in islanding mode was 4286.21 yuan after 160 iterations. After optimizing 3912.3 yuan, with decrease 8.7%. had stable average loss value 20% efficiency 97.19% 10–50 iterations, which significantly higher than other intelligent algorithms. This indicates has high reliability effectiveness scheduling. Therefore, effectively optimizes cluster, providing new solutions efficient utilization smart grids energy future.

Язык: Английский

Процитировано

1