工程科学与技术2018，Vol.50Issue(2)：84-90,7.DOI:10.15961/j.jsuese.201700262
基于改进蝙蝠算法的梯级水电站经济调度
Improved Bat Algorithm for Economic Dispatch in Cascade Hydropower Stations
摘要
Abstract
The mid-long term economic scheduling of cascade hydropower stations is a typical nonlinear optimization problem. It is usually re-quired to maximize the total power generation giving consideration to efficiency of solution while simultaneously meeting complicated hydraulic and electrical constraints. To solve this problem effectively, an improved bat algorithm (IBA) was proposed by improving the updating strategies in Bat Algorithm and introducing the mutation and selection operation in Differential Evolution algorithm. The following improvements were made to the updating strategies in BA: 1) The pulse frequency of each bat was not updated with the population iteration. 2) The impulse emission rate and the pulse volume of each bat were updated with the population iteration. 3) New individuals generated by global search were accepted un-conditionally in IBA, but individuals generated by local search were accepted conditionally. 4) The flight velocity formula was improved to re-duce the deviation between the new individual and the optimal individual of the current population. In order to increase the diversity of the popu-lation and to avoid local optimum, the mutation and selection operation in DE was introduced, and the mutation probability was thus dynamic. A model was established to maximize the annual energy output and maximize the minimal output of cascaded hydropower stations. Based on the economic dispatch problem of cascade hydropower stations of Dadu River, the main control parameters (zoom factor and maximum iterations) of IBA were tested and analyzed. IBA, BA and POA were used to simulate the scheduling at the same year. Taking account to the characteristics of output in the dry season, the total power generation and the running time, we can conclude that compared with the other two algorithms, the simu-lation results obtained by using IBA verified its superiority in both efficiency and precision.关键词
优化调度/改进蝙蝠算法/差分变异/梯级水电站Key words
optimal scheduling/improved bat algorithm/differential mutation/cascade hydropower stations分类
信息技术与安全科学引用本文复制引用
江方利,黄炜斌,李基栋,刘刚,陈仕军,马光文..基于改进蝙蝠算法的梯级水电站经济调度[J].工程科学与技术,2018,50(2):84-90,7.基金项目
国家重点研发计划资助项目(2016YFC0402208) （2016YFC0402208）
国家重点基础研究发展计划资助项目(2013CB036406-4) （2013CB036406-4）
中国清洁发展机制基金赠款资助项目(2013114) （2013114）
