Generation and transmission expansion management using grasshopper optimization algorithm-Reference-Cited by-同舟云学术

Generation and transmission expansion management using grasshopper optimization algorithm

Published:2019-01-01 Issue: Volume:11 Page:184797901881832
ISSN:1847-9790
Container-title:International Journal of Engineering Business Management
language:en
Short-container-title:International Journal of Engineering Business Management

Author:

Suriya Ponnambalam¹^ORCID,Subramanian Srikrishna¹,Ganesan Sivarajan²,Abirami Manoharan³

Affiliation:

1. Department of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu, India

2. Department of Electrical and Electronics Engineering, Government College of Engineering, Dharmapuri, Tamil Nadu, India

3. Department of Electrical and Electronics Engineering, Government College of Engineering, Srirangam, Tiruchirappalli, Tamil Nadu, India

Abstract

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.

Publisher

SAGE Publications

Subject

Management Science and Operations Research,Organizational Behavior and Human Resource Management

Link

http://journals.sagepub.com/doi/pdf/10.1177/1847979018818320

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