Abstract
Microgrid optimal dispatching has become one of the core issues of microgrid energy management and integrated control, which is of great significance to reduce energy consumption and environmental pollution. As a natural heuristic algorithm, the butterfly optimization algorithm (BOA) has the advantages of simple adjustment parameters and fast convergence speed. It is widely used to solve nonlinear programming problems. However, BOA is easy to fall into local optimization and poor convergence accuracy. Therefore, an improved butterfly optimization algorithm (IBOA) based on skew tent chaotic map, Cauchy mutation, and simplex method is proposed, and compared with particle swarm optimization (PSO), whale optimization algorithm (WOA), sparrow search algorithm (SSA), and BOA, the results show that the IBOA has high convergence speed and optimization accuracy. Finally, the IBOA is used to solve the optimization model. The simulation results show that the IBOA can effectively reduce the power consumption cost of the system, promote the effective utilization of renewable energy, and improve the operation stability of the microgrid cluster system.
Highlights
Nonrenewable energy plays a crucial role as the main energy in production and life
With the development of renewable energy and energy storage batteries, the microgrid cluster system consisting of multiple microgrids can make effective use of renewable energy and has good development prospects [1,2,3,4]. e microgrid cluster system is an extension of the microgrid system
Compared with other intelligent algorithms, the results showed that E-particle swarm optimization (PSO) has better searching ability than other algorithms, but it may fall into local optimum when solving high-dimensional nonlinear programming problems
Summary
Nonrenewable energy plays a crucial role as the main energy in production and life. due to the overexploitation of nonrenewable energy, a series of problems caused by the use of nonrenewable energy is gradually expanding, endangering the ecological environment of the natural world, and the development and utilization of renewable energy such as wind energy and solar energy are becoming more and more important. Compared with a single microgrid, the interconnected operation of multiple microgrids improves the reliability of the power supply and plays an important role in reducing power economic costs and environmental protection. Morteza et al [23] proposed a model to determine the optimal size of the ESS with the lowest total cost as the objective, solved it by convex optimization, and compared it with GA and PSO. E microgrid cluster system composed of multiple microgrids can make up for the insufficiencies of fluctuation, indirectness, and randomness of distributed power supply, effectively improve the stability of the system, and reduce the rate of light and wind abandonment, so the optimal dispatch research on microgrid cluster is important. The microgrid cluster’s optimum dispatch may be solved more efficiently
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