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Algorithm Research and Example Analysis of Mid-short-term Load Forecast for New Electric Connecting Residential Areas Based on Demand Coefficient

机译:基于需求系数的新型电连接居住区中短期负荷预测算法研究与实例分析

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摘要

With the social and economic development,the real estate industry rapid development,supply supporting projects in residential area is increasing.Residential areas load has large application for connection and installation,but the actual load is of slow growth,lack of effective ways and means,it's inaccurate to forecast short-term load,difficult to balance the improvement of equipment utilization and to meet long-term electricity demand in the distribution network planning and the preparation of regional distribution network planning programs.The electricity load growth in new built residential area with the relatively high occupancy rate over the years is tracking analyzed,load forecasting method of new residential area to apply for electrical connection based on Demand Coefficient is researched and studied with case,which has good effects.
机译:随着社会经济的发展,房地产业的快速发展,住宅区的配套项目日益增多。住宅区的负荷在连接和安装中有很大的应用,但实际负荷增长缓慢,缺乏有效的方法和手段,在配电网规划和制定区域配电网规划方案中,短期负荷预测不准确,难以平衡设备利用率的提高和满足长期用电需求。对多年来相对较高的占用率进行跟踪分析,并结合实例研究了基于需求系数的新住宅区电气连接负荷预测方法,取得了良好的效果。

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