摘要
为使多能光热互补系统在满足运行约束的同时实现光电转换效率最大化,提出基于Benders分解算法的长期优化调度方法。以最小化运行成本、最大化系统总发电量以及最小化弃电量为目标,设计目标函数;结合功率平衡、能量平衡约束和环境效益等约束条件,构建综合优化调度模型;引入Benders分解算法求解模型;通过迭代与更新主问题的可行解,获得最优调度策略。试验结果表明,应用所提方法后,系统的弃风弃光量和热损失系数远低于其他对比方法,说明所提方法能够有效提升系统的光电转换效率。
A long-term optimized scheduling method based on Benders decomposition algorithm was proposed for multi energy photothermal complementary systems to maximize the photoelectric conversion efficiency while satisfying operational constraints.An objective function with the goals of minimizing operating costs,maximizing total system power generation,and minimizing abandoned power was designed;a comprehensive optimized scheduling model was built by combining constraints such as power balance,energy balance,and environmental benefits;Benders decomposition algorithm was introduced to solve the model;the optimized scheduling strategy was obtained by iterating and updating the feasible solutions of the main problem.The experimental results show that after applying the proposed method,the system's abandoned wind and light amounts and heat loss coefficient are much lower than other comparative methods,indicating that the proposed method can effectively improve the system's photoelectric conversion efficiency.
作者
黎建锋
王锐
Li Jianfeng;Wang Rui(Northuest Power Design Institute Co.,Latd.,China Power Engineering Consulting Group,Xian Shaanxi 710075,China;Yumen Xinao New Energy Co.,Ld.,Yumen Gansu 725300,China)
出处
《电气自动化》
2025年第3期30-32,共3页
Electrical Automation
关键词
Benders分解算法
多能光热互补系统
目标函数
光热转换效率
Benders decomposition algorithm
multi energy photothermal complementary system
objective function
photothermal conversion efficiency
