Cost Optimization with Electric Vehicles and Renewable Energy Sources using Priority List Method

Abstract

Emission from coal fired power plants and internal combustion engine vehicles are the main sources of green-house gas emission. This is one of the reason which results in the increased usage of renewable energy power plants for power generation and electric vehicles (EVs) for the transportation. Modern grid comprises of renewable energy sources such as wind and solar power plants along with conventional generators. But the stochastic behavior of solar and wind power plants result in intermittent output by these generators. Hence to compensate the effect of the fluctuation and random behavior, use of electric vehicles is being proposed. Electric vehicles act as loads and get charged at the time of surplus power and when there is deficit of power, EVs can discharge power stored in them to the grid. The problem of unit commitment has been solved by priority list method using Mipower considering conventional power plants, electric vehicles and renewable energy sources. The proposed strategy reduces the operation cost and greenhouse gas emission in presence of wind and solar powers in a micro grid. Plug-in electric vehicles have many capabilities but load curve modification has been emphasized. The main aim for doing such scheduling is to reduce not only the operation cost but also the emission by the conventional generator and by the Internal Combustion Engine (ICE) vehicles. The proposed method utilizes priority list method to solve unit commitment for cost optimization keeping in view the different constraints imposed by the real time power system. The study is carried on Mipower version 9 software.