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在能效测评系统中,对电力用户的能效分析及评级是衡量其能效优劣的主要依据之一。提出运用遗传算法的投影寻踪理论研究能效分级机理和方法。综合考虑电能能效、电能污染能效和经济能效,将多维数据投影到低维空间,采用格雷码加速遗传算法找到最佳投影方向,建立电力用户的遗传投影寻踪等级评价模型(Genetic Proiection Pursuit Grade Evaluation Model,GPPGEM)。实例计算结果表明运用该理论和模型所得评估结果能充分反映该用电对象的能效状态,并且测评简捷,具有较强的实用价值。建立了能效测评与分级新方法。
In the energy efficiency evaluation system, energy efficiency analysis and rating of power users are one of the main bases to measure the energy efficiency. Proposed the use of genetic algorithm projection pursuit theory to study energy efficiency classification mechanism and method. Considering the energy efficiency, energy efficiency and energy efficiency, the multi-dimensional data is projected into the low-dimensional space. Gray code is used to accelerate the genetic algorithm to find the best projection direction. Genetic Proiection Pursuit Grade Evaluation Model, GPPGEM). The calculation results of the examples show that the evaluation results obtained by using the theory and model can fully reflect the energy efficiency status of the electricity consumers, and the evaluation is simple and has strong practical value. Established a new method of energy efficiency evaluation and classification.