Optimization Scheduling of Wind-light-water-fire Joint System Based on Improved Krill Herd Algorithm

In order to improve the utilization rate of renewable energy and reduce the amount of abandoned wind and light, an optimization scheduling method of wind-light-water-fire joint system based on improved krill herd algorithm was proposed. Taking the minimum comprehensive cost as the objective function and considering various constraint conditions, the optimization scheduling model of wind-light-water-fire joint system was established. The Logistic chaotic mapping, cosine control factor and Cauchy variation are used to improve the krill herd algorithm and its global search performance. The optimization scheduling model of wind-light-water-fire joint system is solved by using improved krill herd algorithm. The calculation results show that the improved krill herd algorithm is superior to the krill herd algorithm and PSO algorithm in terms of iteration times, convergence time and solving accuracy. Based on this scheduling strategy, the wind-light-water-fire joint system not only satisfies the balance of supply and demand of the system, but also gives priority to the use of clean energy such as wind energy and solar energy, which not only improves the utilization rate of clean energy, but also reduces the pollution to the environment.