Electrical Load Forecasting Techniques employed in Power Sector of Pakistan

Danial Saleem, Tauseef-ur-Rehman Khan, S. Abbas
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引用次数: 3

Abstract

This paper elaborates different methodologies used in National Transmission and Despatch Company (NTDC) Pakistan for electrical energy and power demand forecast i.e. Regression Analysis and Power Market Survey (PMS). It includes forecasting both energy and peak power demand for Pakistan’s power system. Forecast energy and power demands with high precision is highly significant; an underestimation will result in load shedding and an overestimation will cause overinvestment. For regression analysis, top-down econometric technique of Ordinary Least Square is applied at disaggregate level i.e. domestic, commercial, industrial and agriculture sector to forecast energy consumption. PMS methodology is categorized as bottom up approach, i.e. energy and power demands are forecasted from 11kV feeder level, DISCO level and finally aggregated for NTDC level. The comparison between the two methodologies is presented in the paper as well. Moreover, the forecasted demand is compared with actual demand experienced historically.
电力负荷预测技术在巴基斯坦电力部门的应用
本文详细阐述了巴基斯坦国家输电和调度公司(NTDC)用于电力和电力需求预测的不同方法,即回归分析和电力市场调查(PMS)。它包括预测巴基斯坦电力系统的能源和峰值电力需求。高精度的能源和电力需求预测具有重要意义;低估将导致减载,高估将导致过度投资。在回归分析中,采用普通最小二乘自顶向下的计量经济学技术,在分类层面(即家庭、商业、工业和农业部门)预测能源消耗。PMS方法分为自下而上的方法,即从11kV支线水平、DISCO水平预测能源和电力需求,最后汇总到NTDC水平。本文还对这两种方法进行了比较。此外,还将预测需求与历史上的实际需求进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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