Gravitational Search Algorithm for Optimal Distributed Generation Operation in Autonomous Network

Autor:	Mohd Wazir Mustafa, Muhammad Ariff Baharudin, Hazlie Mokhlis, Jasrul Jamani Jamian, Abdirahman M. Abdilahi
Rok vydání:	2014
Předmět:	Consistency (database systems) Engineering Mathematical optimization Multidisciplinary business.industry Distributed generation Genetic algorithm Gravitational search algorithm Value (computer science) business Standard deviation Voltage Power (physics)
Zdroj:	Arabian Journal for Science and Engineering. 39:7183-7188
ISSN:	2191-4281 1319-8025
DOI:	10.1007/s13369-014-1279-0
Popis:	The gravitational search algorithm (GSA) has been used in this research to optimize output of the multiple distributed generator (DG) units in autonomous distribution network. With the optimal operation of DGs, the voltage profile can be improved, thus reducing the power losses in the system. The performance of GSA is compared with an established paper, which uses the genetic algorithm (GA) in analysing similar problem. The results show that the GSA has superior performance in finding the optimal DG output compared to the GA technique, either in terms of power loss as well as the voltage profile. Furthermore, the consistency of the proposed GSA method is proven by the small standard deviation value obtained from 20 repetitions of the same analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::36fd453f4f01cdf37785bcd82382f53d https://doi.org/10.1007/s13369-014-1279-0 Zobrazit plný text záznamu Plný text ve formátu PDF