Improved Multi-objective Lion Swarm Algorithm Based on Scheduling Model for Wind Power Systems

Abstract

: The multi-objective model is established to minimize the cost of power generation and optimize the energy and environmental benefits, and the improved lion swarm optimization algorithm is adopted in the solution method, i.e. the idea and mechanism of coati optimization is introduced into the lion swarm algorithm. The method enhances the high-dimensional search capability of the population and verifies the effectiveness, scientificity, and advancement of the improved algorithm. Experimental analysis is carried out with the micro-wind power grid-connected generation example to verify that the proposed model considers the cost of micro-grid from various aspects and helps to improve the reliability of the system. The objective of optimizing the cost of wind and solar energy penalties is to achieve the full utilization of wind and solar energy, which helps to solve the problem of "wind" and "solar" abandonment.