摘要
从风光互补系统的经济性出发研究了风光互补系统的优化设计问题。以年度平均电量成本最小化作为目标,将太阳能光伏板面积、风电机组额定功率和蓄电池最大储能容量作为决策变量,构建了风光互补系统优化设计模型,并通过引入互补约束条件,将分段函数转化为连续函数,利用改进的拉格朗日分解法,由上而下分阶段求解模型。实例应用结果表明,利用优化模型计算所得结果在经济性和运算效率上有明显提高,验证了模型的可行性和算法的有效性。
In this paper, optimization design problem is studied to increase the economic efficiency of wind-solar hybrid system. Optimization design model is established in which annual average electricity cost is regarded as objective function and the solar photovoltaic panel area, rated power of wind and storage capacity of battery are set as decision variables. Then, complementary constraints is introduced to transfer piecewise function into continuous function, and a modified Lagrange decomposition method is used to decompose the optimization model into multiple stages. In this way, the model can be solved from top to bottom. The feasibility of the optimization model and the efficiency of the proposed algorithm are verified by example. The results show that the wind-solar hybrid system has certain cost advantage and the economic efficiency can be greatly improved.
出处
《水电能源科学》
北大核心
2014年第6期188-192,共5页
Water Resources and Power
基金
美国能源基金会支持项目(G-1006-12630)
国家软科学研究计划(2012GXS4B064)
国家自然科学基金项目(71271082
70771039)
关键词
风光互补系统
优化设计
改进拉格朗日算法
互补法
wind-solar hybrid system
optimization designs modified Lagrange method
complementary method
