Generation and transmission expansion management using grasshopper optimization algorithm

Autor:	Ponnambalam Suriya, Srikrishna Subramanian, Sivarajan Ganesan, Manoharan Abirami
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Management. Industrial management HD28-70
Zdroj:	International Journal of Engineering Business Management, Vol 11 (2019)
Druh dokumentu:	article
ISSN:	1847-9790 18479790
DOI:	10.1177/1847979018818320
Popis:	This article explores how generation and transmission expansion plans (GTEPs) vary and become better suited for the accessibility of smart grid technology (SGT), essentially comprising load shifting, environmental assets and cost rebates. Demand response (DR) resources in smart grids have emerged in debates on GTEP, especially with respect to compromising system security. The planned model is designed as an innovative GTEP solution with DR resources that minimize cost by decreasing the peak load of the basic plan. A chaotic grasshopper optimization algorithm (CGOA) is used to optimize the results of the proposed GTEP model.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ac480571be8c45f7b18c69e28d8ecabf Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF