Generation and transmission expansion management using grasshopper optimization algorithm

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...

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Bibliographic Details
Published in:	International journal of engineering business management Vol. 11
Main Authors:	Suriya, Ponnambalam, Subramanian, Srikrishna, Ganesan, Sivarajan, Abirami, Manoharan
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 07-01-2019 SAGE Publishing
Subjects:	generation expansion planning smart grids transmission expansion planning Chaotic grasshopper optimization algorithm demand response
Online Access:	Get full text
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Summary:	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.
ISSN:	1847-9790 1847-9790
DOI:	10.1177/1847979018818320