Multi-objective economic dispatch of distributed generation using differential evolution algorithm

Autor:	Kannan Subramanian, Mahalakshmi Rajaram, Bhuvanesh Ananthan, Karuppasamy Pandiyan Murugesan, Arumugababu Mariakuttikan
Rok vydání:	2021
Předmět:	Mathematical optimization business.industry Computer science Distributed generation Economic dispatch business Differential evolution algorithm
Zdroj:	IOP Conference Series: Materials Science and Engineering. 1084:012016
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/1084/1/012016
Popis:	Economic Dispatch (ED) deals with the allocation of the essential load amid the existing power plants such that the operating cost is reduced. The ED problem is framed as a nonlinear optimization problem with subjected constraints. In this study, a distributed generation (DG) optimization using a multi objective differential evolution (MODE) algorithm is explored. This study aims to find out the minimum fuel cost, environmental pollution penalty cost and minimum system real power loss. MODE algorithm is implemented on 33-bus distribution system (DS) to obtain the ideal real power dispatch of DGs. Four DGs are considered which having two diesel generator, one wind generator and one fuel cell. The result shows the minimized value of Fuel/Emission penalty cost and power loss in the DG units using MODE algorithm when compared with Multi Objective Particle Swarm Optimization (MOPSO) algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f2c130fb6a83f6f3ee99f6fc6083aa72 https://doi.org/10.1088/1757-899x/1084/1/012016 Zobrazit plný text záznamu