Stochastic Economic Dispatch Incorporating Commercial Electric Vehicles and Fluctuating Energy Sources

Abstract

Increase in utilization of electric vehicles and penetration of Renewable Energy Sources (RES) creates a greater impact on traditional power systems. Intermittent output from renewable energy resources and uneven usage pattern of electric vehicles creates a greater impact on the economic operation of power system. In this article, a stochastic Dynamic Economic Dispatch (DED) problem incorporating Commercial Electric Vehicles (CEVs) and intermittent renewable energy resources is addressed. The charging pattern of CEVs as well as intermittency of solar and wind resources creates a significant impact on power system peak demand. The behaviour of these CEVs and RES in various seasons is considered and the same is tested on a real time south Indian practical test system. An attempt is made to improve the swarm-based Moth Flame Optimization (MFO), named as IMFO is developed and utilized for solving the considered problem. The efficacy of the said method is tested and necessary validations are carried out in this article.

Keywords

• Economic dispatch
• electric vehicles
• improved moth flame optimization
• renewable energy sources
• solar
• wind