需求侧响应下主动配电网优化调度

Optimal Dispatch of Active Distribution Network under Demand Side Response

针对电网运行中能量调度不佳的问题,首先基于需求侧响应不确定性特点,引入非经济因素以及消费心理学特征,建立需求侧响应模型;其次使用拉丁超立方抽样(LHS:Latin Hypercube Sampling)改善初始种群质量,引入正弦因子提高局部搜索能力,并实行变异操作优化全局搜索精度,以解决麻雀算法(SSA:Sparrow Search Algorithm)的早熟等问题;最后需求侧响应以电网运行成本和环境成本最小为目标建立主动配电网优化调度模型,并使用改进的麻雀算法进行求解。仿真结果验证了提出模型的准确性,算法的高效性,有效解决了能量调度不佳的问题。

Demand side response is an important means of active distribution network optimization scheduling. Aiming at the problem of poor energy scheduling in power grid operation, firstly, based on the uncertainty characteristics of demand side response, introducing non-economic factors and characteristics of consumer psychology, the active distribution network optimization is modeled with the minimum power grid operation cost and environmental cost as the objective function;secondly, aiming at the premature problem of sparrow algorithm, latin hypercube sampling is used to improve the initial population quality, sine factor is introduced to improve the local search ability of the algorithm, and mutation operation is implemented to optimize the global search accuracy of the algorithm;finally, the improved sparrow search algorithm is applied to the solution of the active power grid optimization model.The simulation results verify the accuracy of the proposed model and the efficiency of the algorithm, and effectively solve the problem of poor energy scheduling.