考虑源-荷不确定性的水风柴微电网优化配置

水、风资源和负荷不确定性影响微电网配置方案的经济性和鲁棒性。文中提出一种考虑源-荷不确定性的并网型水/风/柴微电网双层优化规划模型。上层优化为微电网电源容量优化配置模型;下层优化为考虑了小水电、小风电及负荷功率不确定性的微电网优化运行模型,并利用Seng-Cheol Kang提出的鲁棒线性优化理论(SCK型鲁棒线性优化)将不确定性模型转化为确定性模型。然后,结合含精英策略的快速非支配性排序遗传算法(NSGA-Ⅱ)和混合整数线性规划(MILP)求解微电网的多目标优化配置问题。最后,以韶关地区某实际配电系统为例进行仿真验证,结果表明该模型不仅提高了微电网的鲁棒性,而且保证了配置方案的经济性及供电可靠性。

Optimal capacity configuration of hydro-wind-diesel microgrid considering uncertainty of renewable energy and load

Due to the uncertainty of hydro, wind resources and load will affect the economics and robustness of microgrid configuration, this paper proposes a bi-level optimal planning and design model for grid-connected hydro-wind-diesel microgrid, considering uncertainty of renewable energy and load. The up-level optimization is a microgrid configuration model. The low-level optimization is a microgrid economic dispatch model considering the uncertainty of hydro-wind power and load. Based on the robust linear optimization theory proposed by Seng-Cheol Kang (SCK-type robust linear optimization), the uncertainty model is transformed into a deterministic model. Then, combined with the fast non-dominated sorting genetic algorithm with elite strategy (NSGA-II) and mixed integer linear programming (MILP), the multi-objective optimal configuration problem of microgrid is solved. Finally, a distribution system in Shaoguan city is taken as a simulation example. The results show that the model not only improves the robustness of the microgrid, but also ensures the economics and reliability of the configuration. Keywords: hydro-wind-diesel microgrid; optimal capacity configuration; robust linear optimization; multi-objective ; bi-level optimization ;