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Load research as a tool in electric power system planning, operation, and control--The case of Jordan

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  • Elkarmi, Fawwaz

Abstract

Electric load research involves the systematic collection and analysis of customers' electrical energy as well as demand requirements by time-of-day, month, season, and year; consumption patterns; socio-economic and demographic influencing factors; and willingness-to-pay for electricity. The information created by load research are the bases for all studies and analyses conducted by the electricity company to plan, monitor, operate, and control the power system. Several attempts were carried out in Jordan to create this very important body of knowledge. Studies and analyses are conducted regularly to update the information. This paper presents the author's experience in conducting load research investigations. These efforts culminated in three distinct contributions, which are still very useful in planning and operation of the power system in Jordan. (1) The first contribution by the author is related to creating a huge database of energy and electricity consumption characteristics, trends, and driving forces. The database is being continuously updated and as such constitutes a very basic tool for all demand forecasting and other planning studies. (2) The second contribution involves the estimation of the cost of un-served (unmet) electrical energy due to outages. This estimate, which is still being used as reference for planning studies carried out in Jordan, was first coined by the author at 1.0US$/kWh. (3) The final contribution concerns the use of the information in the load research database and the accumulated experience in determining peak load composition. This effort created the "near-exact" estimate of the characteristics and constitutions of the peak load divided among the various consuming sectors as well as among the various end-uses in Jordan. The results of these contributions are still being used by the electricity sector in Jordan until this day, either as unique information or as a guideline or reference to more recent estimates. More importantly, the efforts, as outlined in the three contributions above, have established a good base and reference point for further ongoing activities to collect, analyze, and use the information by various entities in the electricity sector in Jordan. However, the efforts need to be properly coordinated and entrusted with a single entity to ensure a better quality of information and avoid conflicting decisions.

Suggested Citation

  • Elkarmi, Fawwaz, 2008. "Load research as a tool in electric power system planning, operation, and control--The case of Jordan," Energy Policy, Elsevier, vol. 36(5), pages 1757-1763, May.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:5:p:1757-1763
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    Cited by:

    1. Yan Xu & Jiahai Yuan & Huiming Xu, 2017. "Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050," Sustainability, MDPI, vol. 9(7), pages 1-21, July.
    2. Dong, C. & Huang, G.H. & Cai, Y.P. & Xu, Y., 2011. "An interval-parameter minimax regret programming approach for power management systems planning under uncertainty," Applied Energy, Elsevier, vol. 88(8), pages 2835-2845, August.
    3. Elkarmi, Fawwaz & Abu-Shikhah, Nazih & Abu-Zarour, Mohammad, 2010. "An investigation of the effect of changes of planning criteria on power system expansion planning with a case study of the Jordanian power system," Energy Policy, Elsevier, vol. 38(10), pages 6320-6329, October.
    4. Räsänen, Teemu & Voukantsis, Dimitrios & Niska, Harri & Karatzas, Kostas & Kolehmainen, Mikko, 2010. "Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data," Applied Energy, Elsevier, vol. 87(11), pages 3538-3545, November.
    5. Garg, Amit & Shukla, P.R. & Maheshwari, Jyoti & Upadhyay, Jigeesha, 2014. "An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India," Energy Policy, Elsevier, vol. 66(C), pages 568-584.

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