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基于滚动寻优动态规划的负荷优化分配研究 被引量:5

Research on Load Optimal Distribution Based on Rolling Optimal Dynamic Programming
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摘要 针对动态规划算法在负荷优化分配过程中存在的“维数灾”问题,对算法进行改进。在顺序造表阶段,利用前一阶段的优化信息,完成本阶段的优化计算,建立一种滚动的优化计算方法,以滚动寻优代替全域枚举寻优的方式构造负荷优化分配顺序表,再将构造好的顺序表用于机组逆序分配。改进后的算法减少了优化计算的计算量,提高了优化计算效率,高效准确地完成机组负荷优化分配任务。以贵州某电厂4台300MW机组和1台660MW机组为例进行计算,验证改进后算法的准确性以及算法改进的有效性。算例结果表明:采用滚动寻优方式可以有效减少优化计算量,减少优化计算耗时,提高计算效率。 This paper improves the algorithm in view of the"dimension disaster"problem in the process of load optimization and allocation of dynamic programming algorithm.In the sequence table creation stage,the optimization information of the previous stage is used to complete the optimization calculation of this stage,and a rolling optimization calculation method is established.The load optimization distribution sequence table is constructed by rolling optimization instead of global enumeration optimization.Use the constructed sequence table for the reverse sequence allocation of units.The improved algorithm reduces the amount of optimization calculation calculations,improves optimization calculation efficiency,and efficiently and accurately completes the task of unit load optimization.Taking four 300MW units and one 660MW units in a power plant in Guizhou as an example,the calculation is carried out to verify the accuracy of the improved algorithm and the effectiveness of the algorithm improvement.The results of the calculation example show that the rolling optimization method can effectively reduce the optimization calculation amount,reduce the optimization calculation time,and improve the calculation efficiency.
作者 叶佳威 王培红 张苗苗 但伟 YE Jia-wei;Wang Pei-hong;ZHANG Miao-miao;DAN Wei(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education,School of Energy and Environment,Southeast University,Nanjing 210096,China;State Nuclear Electric Power Planning Design&Research Institute Co.,Ltd.,Beijing 100000,China)
出处 《汽轮机技术》 北大核心 2022年第1期6-9,15,共5页 Turbine Technology
基金 国家自然科学基金资助项目(51976032)。
关键词 负荷优化分配 煤耗量 动态规划法 滚动寻优 optimal load distribution coal consumption dynamic programming rolling optimization
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