Optimization strategies for Micro-grid energy management and scheduling systems by Sine cosine Algorithm

Abstract

Energy is an essential factor for power generation, where a community microgrid seeks to integrate renewable energy sources such as solar, wind, tidal, hydropower, and bioenergy into a distribution network along with an energy storage system. This is not only for the security of national growth, but also to minimize electricity costs and availability. The source of renewable energy has no predicted schedule for synchronization of power generation, supporting battery as energy storage for emergency supply or backup. In this paper, predictive scheduling of battery energy considering the cost of degradation due to charging and discharging cycles is proposed. According to the economy, day ahead planning has required a technique for solving the cost efficiency. In this paper, planned has developed by sine-cosine algorithm, which belongs to mathematical trigonometric base populations sector meta-heuristic technique. The sine-cosine algorithm works on the principle of trigonometric mathematical solution to search a target location within an area evaluation.