基于粒子群算法的常规水电站直接厂用电建模研究

On the Direct Station Service Power Consumption Model for Conventional Hydropower Stations based on Particle Swarm Optimization Algorithm

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。

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.