摘要
大量动力电池被淘汰,将淘汰的电池用作电力储能是解决问题的一个有效方法。选用风光和淘汰的动力电池作为储能的混合发电厂为研究对象,以目标函数为年利润最大进行容量配置,提出梯次利用电池的购买价格为全寿命周期等出力成本的方法,电池模型采取同时考虑使用次数、使用时间和充放电深度,并在可用容量相同的条件下每年进行置换更新的改进配置模型。通过最小乘子法、最优保存法和自适应步长法改进萤火虫算法,应用改进算法寻找最优解。最后选用张家口的天气参数进行模拟分析,验证模型算法的正确性,并对梯次电池回收价格进行研究。
Now there are a large number of power battery obsolescence problem,using the obsolescence battery as electric energy storage is an effective way to solve the problem.The hybrid power plant of energy storage was selected as the research object.The objective function is to maximize capacity allocation for annual profit.The method of using the battery purchase price to the whole life cycle and so on output cost is put forward.The battery model is adopted to consider the use times,use time and depth of charge and discharge.An improved configuration model for annual replacement updates with the same available capacity.The firefly algorithm was improved by least multiplier method,optimal preservation method and adaptive step method.The improved algorithm is applied to find the optimal solution.Finally,the weather parameters of Zhangjiakou are used to simulate and analyze.Verify the correctness of the model algorithm and study the recovery price of echelon batteries.
作者
王质素
杜欣慧
陈惠英
贾晨
蔡逸超
李钢
Wang Zhisu;Du Xinhui;Chen Huiying;Jia Chen;Cai Yichao;Li Gang(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Taiyuan Power Supply Company,State Grid Shanxi Electric Power Company,Taiyuan 030001,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2022年第5期533-540,共8页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(U1510112)。
关键词
梯次电池
优化
发电厂
风光储
萤火虫算法
secondary batteries
optimization
power plants
PV-wind-storage
firefly algorithm
