The study of reducing the cost of investment in wind energy based on the cat swarm optimization with high reliability
| Autor: | Bouanane Abdelkrim, Meziane Rachid, Hamzi Amar |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
Wind power Universal generating function gey wolf optimization reliability Computer program business.industry Computer science Swarm behaviour 020206 networking & telecommunications 02 engineering and technology law.invention Reliability engineering Renewable energy Electric power system law Multi-statessystem 0202 electrical engineering electronic engineering information engineering Electric power Electrical and Electronic Engineering Energy source business Transformer |
| Zdroj: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 18:2245 |
| ISSN: | 2302-9293 1693-6930 |
| DOI: | 10.12928/telkomnika.v18i4.15046 |
| Popis: | Wind and solar are the most important source of renewable energy for power supply in remote locations involves serious consideration of the reliability of these unconventional energy sources. We apply the cat swarm meta-heuristic optimization method to solve the problem of wind power system design optimization. The electrical power components of the system are characterized by their cost, capacity and reliability. This study seeks to optimize the design of parallel power systems in which multiple choices of generators wind, transformers and lines. Our plan has the advantage of allowing electrical components with different parameters to be customized in electrical power systems. The UMGF method is applied to allow rapid reliability estimation. A computer program is developed for the UMGF application and CS algorithm. An example is provided to explain. |
| Databáze: | OpenAIRE |
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