含分布式能源的配电网双层优化运行策略

BI-LEVEL OPTIMAL OPERATION STRATEGY OF DISTRIBUTION NETWORK WITH DISTRIBUTED ENERGY

为响应“碳达峰、碳中和”的号召,兼顾分布式能源(DG)参与下配电网运行的经济性和环保性,该文构建一种含DG的配电网双层优化模型。该模型以DG投资运行成本及环境效益为上层目标对DG进行优化配置,并以网损和电压偏移度成本为下层目标对配电网进行无功优化。针对模型特点,提出改进麻雀算法进行模型求解,增加Tent混沌映射初始化种群,引入萤火虫扰动机制改进操作算子并优化越界处理机制维持种群多样性。仿真结果表明,该模型能有效提高配电网运行的经济环保性,并验证了改进麻雀算法在求解复杂非线性非凸含离散变量的复杂组合优化问题上的优势。

In response to the call of "carbon peaking,carbon neutralization",considering the economy and environmental protection of distribution network operation with distributed generation(DG),this paper constructs a bi-level optimization model of distribution network with DG. In this model,DG investment and operation cost and environmental benefits are taken as the upper objectives to optimize the configuration of DG,and network loss and voltage offset cost are taken as the lower objectives to optimize the reactive power of distribution network. According to the characteristics of the model,an improved sparrow search algorithm is proposed to solve the model,adding tent chaotic map to initialize the population,introducing firefly disturbance mechanism to improve the operator,and optimizing the cross-border processing mechanism to maintain the population diversity. The simulation results show that the model can effectively improve the economic and environmental protection of distribution network operation,and verify the advantages of the improved sparrow search algorithm in solving complex high-dimensional nonlinear non-convex combinatorial optimization problems with discrete variables.