摘要
提出一种基于教与学优化算法(TLBO)的储能容量优化配置方法。在考虑多因素对光伏出力影响的前提下,构建双层储能容量优化配置模型。上层以储能全寿命周期成本最小为目标函数,利用TLBO算法求解;下层以运行收益最大为目标函数,采用Gurobi求解器求解最优日运行策略。最后以大庆某实际光伏电站为例进行仿真,结果表明该方法的有效性。
In order to improve the output stability of photovoltaic power plants and ensure power quality,it is necessary to optimise the allocation of energy storage capacity in photovoltaic power plants.This paper proposes an optimal allocation method of energy storage capacity based on Teaching-Learning-Based Optimization(TLBO)algorithm.Considering the impact of multiple factors on PV output,a two-layer energy storage capacity optimisation model is constructed.The upper layer is solved by the TLBO algorithm with the objective function of minimising the whole life cycle cost of energy storage;the lower layer is solved by the Gurobi solver with the objective function of maximising the operating revenue,and the optimal daily operation strategy is solved by the Gurobi solver.Finally,a real PV power plant in Daqing is taken as an example for simulation,and the simulation results show the effectiveness of the method.
作者
孙慧颖
李月乔
刘自发
Sun Huiying;Li Yueqiao;Liu Zifa(The College of Electrical and Electronics Engineering,North China Electric Power University,Beijing 102206,China)
出处
《太阳能学报》
北大核心
2025年第9期333-341,共9页
Acta Energiae Solaris Sinica
基金
国家自然科学基金重点项目(51977074)。
关键词
光伏发电
储能
优化
教与学算法(TLBO)
photovoltaic power
energy storage
optimization
teaching-learning-based optimization(TLBO)algorithm
作者简介
通信作者:李月乔(1968-),女,硕士、副教授,主要从事新能源电力系统特性与多源互补方面的研究。lyqiao@ncepu.edu.cn。
