摘要
针对风速、光照强度和负荷不确定性对独立型微网优化配置的影响,应用三者的概率密度函数对每个月份构造典型日,利用多状态系统理论对典型日各个时刻风光出力和负荷进行了多状态建模。以经济性和环保性为目标,建立了基于多状态建模的独立型微网多目标优化配置模型,并采用改进的非劣排序遗传算法(NAGA-Ⅱ)对模型进行了求解。最后,针对某一算例分别使用所提出的优化配置方法和已有的基于确定历史场景的优化配置方法进行了仿真计算,通过对仿真结果在若干随机场景下的比较分析,验证了所提优化配置模型和方法的合理性和有效性。
Focusing on the influence caused by the uncertainties of wind speed,light intensity and load on optimal configuration of standalone microgrid,this paper uses the probability density functions of these factors to construct the typical day for each month,and its multistate modeling for wind power,photovoltaic power and load at every moment is obtained using the multi-state system theory.A multi-objective optimal configuration model of standalone microgrid considering the economy and environment protection is established,the improved non-dominated sorting genetic algorithm (NAGA-Ⅱ) is used to solve the problem.The proposed method and the method based on the historical scenario are studied in a case respectively,the comparison of the results validates the proposed model and method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第6期11-17,共7页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51207140)~~
