基于分时电价的并网型微电网优化调度方法研究

Research on Optimization Scheduling Method for Grid-Connected Microgrid Based on Time-of-Use Electricity Pricing

摘要: 文章提出一种改进蜣螂优化算法，旨在解决考虑分时电价的并网型微电网优化调度问题。首先，建立了以经济成本为目标的微电网调度模型，考虑了分时电价对电力调度的影响。其次，针对标准蜣螂优化算法收敛精度低和易陷入局部最优的缺陷，设计自适应步长因子平衡全局与局部搜索，并融合差分进化变异的扰动机制提高逃逸能力。最后，通过典型算例仿真验证了该方法的有效性，结果表明改进算法能有效降低系统经济成本。

Abstract: This paper proposes an improved dung beetle optimization algorithm to address the optimization scheduling problem of grid-connected microgrids, considering time-of-use electricity pricing. First, a microgrid scheduling model is established with the objective of minimizing economic costs, taking into account the impact of time-of-use pricing on power scheduling. Secondly, to overcome the shortcomings of the standard dung beetle optimization algorithm, such as low convergence accuracy and susceptibility to local optima, an adaptive step size factor is designed to balance global and local search, and a perturbation mechanism based on differential evolution mutation is integrated to enhance escape capability. Finally, simulation results from typical case studies demonstrate that the improved algorithm can effectively reduce the economic costs of the system.