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基于粒子群算法的常规水电站直接厂用电建模研究
引用本文:江淑文.基于粒子群算法的常规水电站直接厂用电建模研究[J].湖北水力发电,2016(1).
作者姓名:江淑文
作者单位:中国南方电网调峰调频发电公司,广东广州,510630
摘    要:分析了当前厂用电考核管理中存在的问题,提出了用直接厂用电率代替综合厂用电率考核电厂厂用电水平。采用经粒子群算法改进的最小二乘法,克服了常规方法拟合误差大的缺点,大幅提高了计算精度,有效地应用于某个西南地区的常规水电站用电量的考核中,取得了良好效果,表明了算法的有效性。

关 键 词:厂用电管理  直接厂用电  粒子群算法  最小二乘法

On the Direct Station Service Power Consumption Model for Conventional Hydropower Stations based on Particle Swarm Optimization Algorithm
Abstract:With an analysis on existing problems in the assessment management of the station service power consumption in hydropower stations, a suggestion is given to replace the current assessment criterion based on the comprehensive pow-er consumption rate by the direct power consumption rate.Then, a calculation model of the direct station service power consumption rate based on the least square method and the particle swarm algorithm is proposed.The improved calcula-tion model is of higher accuracy than traditional methods.The effectiveness of the proposed model is demonstrated by a practical application example in a conventional hydropower station in Southwest China.
Keywords:station service power management  direct station service power consumption  particle swarm optimization algorithm  least square method
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