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Long - Term Energy Losses Analyses For Jordanian Power system (Commercial Losses)

  • A. Alfaoury and A. Agha
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Power Systems & Smart Energies
This chapter is in the book Power Systems & Smart Energies

Abstract

This paper aims to investigate the electrical energy losses (ΔE) in the Jordanian national electrical power system (ES); their types, values, as well as their impacts on overall performance of the energy system. The main focus of the paper is to calculate and investigate the value of the technical losses (ΔET) as well as the commercial losses (ΔEC) to the whole system losses value. In this paper, analyses of the (ΔE) data are carried out for the last sixteen years. This period of time is divided in two equal intervals of time; which are (2000-2007) and (2008-2015). The analyses concentrate mainly on the (ΔEC) with special attention on the black losses of energy (theft), (ΔEB1). The results of the two time periods are compared and evaluated by using statistical indexes. Furthermore the paper attempts to provide answers to the following questions: How and up to what value can (ΔEC) be minimized? What is the economic influence of (ΔEC) in [MWh]? Finally, a set of conclusions and recommendations on the obtained results are along with offered of the commercial losses for the next five years a forecast.

Abstract

This paper aims to investigate the electrical energy losses (ΔE) in the Jordanian national electrical power system (ES); their types, values, as well as their impacts on overall performance of the energy system. The main focus of the paper is to calculate and investigate the value of the technical losses (ΔET) as well as the commercial losses (ΔEC) to the whole system losses value. In this paper, analyses of the (ΔE) data are carried out for the last sixteen years. This period of time is divided in two equal intervals of time; which are (2000-2007) and (2008-2015). The analyses concentrate mainly on the (ΔEC) with special attention on the black losses of energy (theft), (ΔEB1). The results of the two time periods are compared and evaluated by using statistical indexes. Furthermore the paper attempts to provide answers to the following questions: How and up to what value can (ΔEC) be minimized? What is the economic influence of (ΔEC) in [MWh]? Finally, a set of conclusions and recommendations on the obtained results are along with offered of the commercial losses for the next five years a forecast.

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