独立微网系统通过内部各个电源对本地区负荷进行供电,其主要目标是最大限度地增强发电功率与负荷之间的匹配性。为保证供电可靠性同时提高整个微网系统的经济性,需根据现有的天气和资源条件对系统的容量配置进行优化设计,选取最优的电源容量组合。为此,建立了独立风光柴储微网系统中各个电源的数学模型,以及包含投资成本和不同费用的经济性模型。根据系统的调度策略和约束条件,将不同电源的个数作为变量,以综合成本费用最小为优化目标,利用遗传算法求解系统中各个电源的最优容量配置。算例结果验证了模型和算法的合理性。
Standalone PV-wind-diesel-battery hybrid microgrid supplies power to local loads by power sources within the microgrid,and the primary target is to enhance the accouplement between the generated power and the load maximally.To improve the economy of whole microgrid while the power supply reliability is ensured,it is necessary to perform optimal design of capacity configuration of the microgrid according to existing conditions in whether and resources and to choose optimal source capacity combination.Mathematical models for different kinds of power sources within the standalone PV-wind-diesel-battery hybrid microgrid are established respectively,and two economic models of investment cost and different expenses are built too.Based on the dispatching strategy and constraints of this hybrid system,the numbers of different power sources are taken as variables and the minimum composite cost and expenses as optimization objective,and then the optimal capacity configurations of different power sources in the system are solved by genetic algorithm.The reasonableness of the proposed models is verified by case study results.