COMPARATIVE ANALYSIS OF EV-MOGA AND GODLIKE MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS FOR RISK BASED OPTIMAL POWER SCHEDULING OF A VIRTUAL POWER PLANT

Abstract
An attempt has been made in this article to compare the performances of two multiobjective evolutionary algorithms namely ev-MOGA and GODLIKE. The performances of both are evaluated on risk based optimal power scheduling of virtual power plant. The risk based scheduling is proposed as a conflicting bi objective optimization problem with increased number of durations of day. Both the algorithms are elaborated in detail. Results based on the performance analysis are depicted at the end.

Authors
Mahesh S. Narkhede1, S. Chatterji2, Smarajit Ghosh3
National Institute of Technical Teachers Training and Research, Chandigarh, India1, National Institute of Technical Teachers Training and Research, Chandigarh, India2, Thapar University, India3

Keywords
MCP (Market Clearing Price), RTO (Regional Transmission Operator), VPP (Virtual Power Plant), RES (Renewable Energy Sources), LCOE (Levelised Cost of Electricity), Distributed Generation (DG)
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 5 , Issue: 2 )
Date of Publication :
January 2015

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