考虑多参数不确定性的微电网优化运行

针对微电网中多种不确定性因素的影响,提出一种基于云理论的随机框架进行处理,通过使用云滴模拟多不确定性问题,将不确定性的模糊性和随机性的定性分析转化为定量分析。针对1 d中不同时段微电网不确定性因素的变化情况,建立考虑经济性与可靠性的微电网优化调度模型,利用磷虾群算法对模型进行求解,并提出一种基于列维飞行的修正方法以提高算法的局部搜索能力。最后以17节点微电网仿真系统为例进行仿真计算,验证了所提方法的有效性和优越性。

Optimal Operation of Microgrid Considering Multi parameters Uncertainty

For various uncertain influencing factors in microgrid, a stochastic process framework based cloud theory was proposed. The cloud droplets were used to simulate the various uncertainties. The qualitative analysis of fuzziness and randomness was converted into qualitative analysis of uncertainty. Aiming at uncertain factors at different intervals in one day, optimal scheduling model was established by considering economy and reliability of microgrid. The model was solved by the krill algorithm. At the same time, a correction method based levy flight was proposed to enhance local search capacity of the algorithm. Finally, the simulation results of 17 bus microgrid system was carried out to verify the effectiveness and superiority of the proposed method.