基于Levy飞行粒子群优化算法的微电网优化调度

Optimization Scheduling of Microgrid Based on Levy Flight Particle Swarm Optimization Algorithm

摘要: 为合理分配微电网中各微电源的出力情况，使微电网更加经济的运行。提出一种基于Levy飞行粒子群优化算法(LFPSO)，在考虑功率平衡和各微电源出力约束的情况下，建立以经济成本和环境成本作为目标函数的微电网调度模型，并采用LFPSO对模型求解。最后通过实例仿真，验证了LFPSO比其他先进算法具有更好的收敛速度和精度，LFPSO能够有效降低微电网运行的总费用，验证了所提算法的有效性。同时对储能装置采用2种不同的控制策略进行充放电管理，以研究分析对微电网优化调度的影响，使微电网更加经济安全的运行。

Abstract: In order to reasonably allocate the output of various micro-sources in a microgrid and enable more economical operation, this paper proposes a microgrid scheduling model based on the Levy Flight Particle Swarm Optimization (LFPSO) algorithm. The model considers power balance and output constraints of each micro-source, establishing economic and environmental costs as the objective functions. LFPSO is employed to solve the model. Simulation results demonstrate that LFPSO outperforms other advanced algorithms in terms of convergence speed and accuracy, effectively reducing the total operating costs of the microgrid and validating the effectiveness of the proposed algorithm. Additionally, two different control strategies for energy storage devices are implemented for charge and discharge management to analyze their impact on microgrid optimization scheduling, ensuring more economical and secure operation of the microgrid.