An Optimal Solution of Generation Scheduling Problem with Electric Vehicle Operation and Renewable Energy Source using Hybrid Meta Heuristic Search Algorithm

Abstract

As a result of advancements in technology and modernity, more electricity is needed to meet the demands of various industries, household and commercial applications, and other sectors of the economy. The most prevalent types of energy sources are hydro, thermal, nuclear, oil, and natural gases. The primary component of large-scale energy production is the thermal energy acquired from the fuel. It is the most traditional method of producing energy in the entire world. These fossils may quickly deteriorate in the next years due to their heavy use. Almost all of the nations have started taking various actions to conserve energy effectively. In the current power system, renewable energy plays a significant role in meeting overall power demand along with traditional energy sources. newline newlineOptimum generation scheduling is a critical aspect of power system operation, aimed at efficiently managing the generation units to meet the demand while minimizing operating costs and environmental impacts. With the increasing integration of electric vehicles (EVs) and renewable energy sources (RES) in the power grid, traditional generation scheduling approaches face new challenges due to the intermittent nature of renewable energy and the variable charging/discharging patterns of EVs. newline newlineThe integration of electric vehicles (EVs) and renewable energy sources (RES) into the power grid has emerged as a promising approach to mitigate greenhouse gas emissions and promote sustainable energy practices. However, the inherent uncertainties associated with renewable energy generation and EV operation pose significant challenges for power generation scheduling. newline newline