In order to reasonably allocate the capacity of distributed generation and realize the goal of stable, economic and clean operation of the system, a multi-objective optimization model with investment cost, environmental protection and power supply quality as indicators has been established, and the multi-objective sparrow search algorithm is used to optimize the solution. Although the multi-objective search algorithm is more efficient than the traditional single objective algorithm, it is easy to fall into local optimum. To this end, the niche optimization technology is used to improve the optimization effect of multi-objective sparrow search algorithm, and the Levy flight strategy is introduced to enhance the ability of multi-objective sparrow search algorithm to jump out of local optimum. The calculation example uses the traditional multi-object search algorithm and the niche multi-objective sparrow search algorithm with levy disturbance to solve the proposed model. The simulation results verify the effectiveness of the multi-objective sparrow search algorithm improved by levy disturbance and niche optimization technology.

为合理配置分布式发电容量，实现系统稳定、经济、清洁运行的目标，建立了以投资成本、环境保护和供电质量为指标的多目标优化模型，并在-目标麻雀搜索算法用于优化解决方案。多目标搜索算法虽然比传统的单目标算法效率更高，但容易陷入局部最优。为此，利用生态位优化技术提高多目标麻雀搜索算法的优化效果，并引入Levy飞行策略增强多目标麻雀搜索算法跳出局部最优的能力。计算实例采用传统的多目标搜索算法和带征扰的小众多目标麻雀搜索算法对所提出的模型进行求解。仿真结果验证了通过扰动和生态位优化技术改进的多目标麻雀搜索算法的有效性。