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基于GLRM模型和MC误差修正的中长期负荷预测 被引量:2
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作者 崔琼 舒杰 +3 位作者 吴志锋 黄磊 姚文明 宋香荣 《新能源进展》 2017年第6期472-477,共6页
为解决传统灰色模型(GM)忽略线性因素的不足和预测随机波动性大的序列误差偏大问题,提出了一种基于灰色线性回归模型(GLRM)与马尔科夫链(MC)的中长期负荷预测模型。通过搭建GLRM预测模型,分析模型拟合误差的转移规律,提出基于MC的预测... 为解决传统灰色模型(GM)忽略线性因素的不足和预测随机波动性大的序列误差偏大问题,提出了一种基于灰色线性回归模型(GLRM)与马尔科夫链(MC)的中长期负荷预测模型。通过搭建GLRM预测模型,分析模型拟合误差的转移规律,提出基于MC的预测误差定量估计方法,并在此基础上建立GLRM模型预测值的修正模型,构建GLRM-MC模型。实例仿真结果表明,该模型与GM模型和GLRM模型相比,能够更好地把握实际负荷的内在变化规律,可以在提高模型预测精度的同时,提升拟合和预测效果的稳定性。 展开更多
关键词 中长期负荷预测 灰色线性回归模型 马尔科夫链 误差定量估算
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In-Situ Domestic Load Harmonic Detection and Reduction Based on GLRM Algorithm for Optimum Filter Excerpt
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作者 Deepthi Joseph N. Kalaiarasi K. Rajan 《Circuits and Systems》 2016年第9期2095-2108,共15页
Power Quality measures the reliable operation between the system and to the connected loads of same system. A poor power quality causes physical damage to the equipment and also results in lower productivity with incr... Power Quality measures the reliable operation between the system and to the connected loads of same system. A poor power quality causes physical damage to the equipment and also results in lower productivity with increase in energy costs. Power disturbances range from micro seconds to hours and the prolonged disturbances in hours would damage the equipments. The power quality decreases due to growth of nonlinear loads in domestic appliances, such as home Uninterrupted Power Supplies (UPS), Induction stove, Television etc. Nowadays Domestic loads are controlled or powered with power electronic devices. The power electronic devices with Direct Current (DC) components generate high frequency signal for DC-Alternating Current (AC) conversion. The conversion introduces multiple frequencies in the AC power supply. The multiple frequencies in AC power supply are called as harmonics. The harmonics in AC supply affects the lifetime of home appliances, consumes more electric current, affects the power factor, transformer efficiency, and other electricity supply systems. Till now, to avoid harmonics, the filters are erected only in industrial loads or in the substations. In this paper a novel method to detect and control harmonics in domestic appliances is proposed. Harmonic control with various filters in the filter bank, based on detection of harmonic voltage let out from the domestic appliances for power saving. To select the appropriate filter to improve power quality, we apply a novel Genetic Algorithm based Linear Regression Method (GLRM) algorithm for optimum Filter Selection. From the results we were able to reduce the total harmonic distortion level to 3.68%.The current consumption of each household appliance is reduced considerably and finally the electricity bill is reduced to 15% and overall system efficiency improves to 85%. 展开更多
关键词 Power Quality Domestic Appliances Harmonic Detection Harmonic Control FILTER glrm Algorithm
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