ICTACT Journal on Soft Computing

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Comparative Analysis of EV-Moga and Godlike Multiobjective Evolutionary Algorithms for Risk Based Optimal Power Scheduling of a Virtual Power Plant


Affiliations
1 Department of Electrical Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India
2 Department of Electrical and Instrumentation Engineering, Thapar University, India
     

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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.

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).
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  • Comparative Analysis of EV-Moga and Godlike Multiobjective Evolutionary Algorithms for Risk Based Optimal Power Scheduling of a Virtual Power Plant

Abstract Views: 237  |  PDF Views: 0

Authors

Mahesh S. Narkhede
Department of Electrical Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India
S. Chatterji
Department of Electrical Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India
Smarajit Ghosh
Department of Electrical and Instrumentation Engineering, Thapar University, India

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.

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).