PEDF (Photovoltaics, Energy Storage, Direct Current, Flexibility) Microgrid Cost Optimization Based on Improved Whale Optimization Algorithm

Abstract

"Photovoltaic, Energy storage, Direct current, Flexibility" (PEDF) microgrid, which is an important implementation scheme of the dual-carbon target, the reduction of its overall cost is conducive to its faster promotion of popularization. Therefore, this paper proposes an Improved Whale Optimization Algorithm (IWOA) for PEDF microgrid cost optimization, which can effectively improve the convergence speed of the algorithm as well as reduce the system cost under the consideration of electric vehicle charging load connected to PEDF microgrid. Firstly, the fitness function and related constraints are introduced, then the charging load of EV is predicted using Monte Carlo algorithm. Next, while introducing the traditional Whale Optimization Algorithm (WOA), the population initialization strategy, probability judgment condition, convergence factor and disturbance factor are improved. Finally, IWOA's cost optimization effect under three typical weather scenarios is compared with traditional WOA, Genetic Algorithm and Particle Swarm Optimization Algorithm, which proves IWOA's effectiveness considering improving the convergence speed and reducing system cost.