К содержанию
РецензированоEN2020

OPTIMIZING CAPACITIVE ENERGY STORAGE FOR LOAD FREQUENCY CONTROL IN WIND-DIESEL HYBRID POWER PLANTS: A NOVEL APPROACH WITH IMPERIALIST COMPETITIVE ALGORITHM

M.R. Younus (Department Of Energy Conversion Engineering, State Polytechnic Of Ujung Pandang, Perintis Kemerdekaan 10, Makassar, Indonesia)

The American Journal of Engineering and Technology · 05 · 2020

Аннотация

This article presents a novel approach to optimize capacitive energy storage for load frequency control in wind-diesel hybrid power plants. The study employs the Imperialist Competitive Algorithm (ICA) as a computational tool to achieve efficient and effective control of power generation and frequency regulation in such hybrid systems. The research aims to enhance the stability and reliability of wind-diesel hybrid power plants by optimizing the sizing and placement of capacitive energy storage units. The results demonstrate the effectiveness of the proposed approach in improving load frequency control and overall system performance. KEYWORDS Capacitive energy storage; Load frequency control; Wind-diesel hybrid power plants; Optimization; Imperialist Competitive Algorithm (ICA); Power generation; Frequency regulation; System stability.

Доказательный фрагмент

«This article presents a novel approach to optimize capacitive energy storage for load frequency control in wind-diesel hybrid power plants.»

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Демо-превью

This article presents a novel approach to optimize capacitive energy storage for load frequency control in wind-diesel hybrid power plants. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
Журнал
Страна
Узбекистан
Ключевые слова
Capacitive energy storage, Load frequency control, Wind-diesel hybrid power plants, Optimization, Imperialist
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