Assessment of loss factor approach to energy loss evaluation for branch circuits or feeders of a dwelling unit or building

Abstract This paper presents a detailed power flow solution approach to apply to the energy loss evaluation for branch circuits or feeders of a dwelling unit or building to examine the suitability of the usual loss factor approach. The time-to-time and season-to-season changes in active and reactive power consumptions for each appliance are considered. Considering that daily load curves are quite different for weekdays and holidays, and also different for different seasons, sixteen daily load curves are created to represent the daily consumption characteristics for each kind of appliance, eight for daily active and another eight for reactive power consumption. The detailed power flow solution approach has resulted in the explicit energy loss evaluations for branch circuits or feeders of a dwelling unit or building and their corresponding determination of the daily, weekly, monthly and annual system electrical parameters. The results mentioned above are then used as a benchmark to discuss the suitability of the loss factor approach for evaluating the energy loss of branch circuits or feeders of a dwelling unit or building.

[1]  G. E. Nasr,et al.  Neural networks in forecasting electrical energy consumption: univariate and multivariate approaches , 2002 .

[2]  Murat Kenisarin,et al.  Energy saving potential in the residential sector of Uzbekistan , 2007 .

[3]  V. I. Ugursal,et al.  A residential end‐use energy consumption model for Canada , 1998 .

[4]  D. Rajicic,et al.  Energy summation method for energy loss computation in radial distribution networks , 1996 .

[5]  Bogdan Atanasiu,et al.  Residential electricity consumption in New Member States and Candidate Countries , 2008 .

[6]  Carlos Alberto Mariotoni,et al.  Household-electric equipment diffusion and the impacts in the demand of residential electric energy in Brazil , 2005 .

[7]  Ünal Çamdali,et al.  Modelling of electric energy consumption in the AC electric arc furnace , 2002 .

[8]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[9]  Alan S. Fung,et al.  Modelling of residential energy consumption at the national level , 2003 .

[10]  Chun-Lien Su,et al.  Probabilistic load-flow computation using point estimate method , 2005 .

[11]  J. C. Lam,et al.  Seasonal variations in residential and commercial sector electricity consumption in Hong Kong , 2008 .

[12]  Fernando L. Alvarado,et al.  Interval arithmetic in power flow analysis , 1991 .

[13]  Kevin Tomsovic,et al.  Boundary load flow solutions , 2004 .

[14]  Nianping Li,et al.  Statistical analyses on winter energy consumption characteristics of residential buildings in some c , 2010 .

[15]  O.M. Mikic,et al.  Variance-Based Energy Loss Computation in Low Voltage Distribution Networks , 2007, IEEE Transactions on Power Systems.

[16]  Abdallah Al-Shehri,et al.  A simple forecasting model for industrial electric energy consumption , 2000 .

[17]  M. W. Gustafson,et al.  The equivalent hours loss factor revisited (power systems) , 1988 .

[18]  Jukka Paatero,et al.  A model for generating household electricity load profiles , 2006 .

[19]  Soib Taib,et al.  Analysis of sectoral energy conservation in Malaysia , 2009 .

[20]  Tsai-Hsiang Chen,et al.  Loop frame of reference based three-phase power flow for unbalanced radial distribution systems , 2010 .

[21]  A. L. Shenkman,et al.  Energy loss computation by using statistical techniques , 1990 .