• DocumentCode
    2014688
  • Title

    Development of demand forecast model for the transmission system master plan of Oman (2014–2030)

  • Author

    Al-Riyami, H. ; Al-Busaidi, A. ; Al-Nadabi, A. ; Al-Siyabi, M. ; Al-Abri, M. ; Al-Rawahi, Z. ; Dubois, J. ; Lambillon, V. ; Mirza, S. ; Bastens, A. ; Abdalla, O.H.

  • Author_Institution
    Oman Electr. Transm. Co., Muscat, Oman
  • fYear
    2015
  • fDate
    1-4 Feb. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The objective of this paper is to present the methodology, approach and results of the demand forecast analysis used in the Transmission Master Plan of Oman 2014-2030. Oman Electricity Transmission Company and Tractebel Engineering analyze the challenges and review the existing load demand forecast studies used in Oman. Different studies analyze load forecasting at short to medium term. A spatialization of the long term load forecast is required in the Transmission Master Plan (2014-2030) of Oman in order to correctly address the transmission expansion plan. Several approaches are proposed to review and challenge existing studies and to spatialize the load demand forecast. The approaches are called global and areabased forecasting methods. Each approach is complimentary and allows to cross-check the adequacy of the method to the peculiarities of the local load demand and the accuracy of the data available. The global method allows linking the electricity consumption to the various economic indicators through mathematical regression relating the electrical energy consumption to socio-economic indicators. The area-based based method aims to spatialize the load forecast taking into account the consumption at regional level and the local characteristics of each area in the Sultanate. The results of the load demand forecast analysis defined the area with very high growth, the amount of generation required in the firm of the Transmission Master Plan and accordingly the least cost transmission network development plan.
  • Keywords
    load forecasting; power consumption; power generation planning; power transmission economics; power transmission planning; regression analysis; socio-economic effects; Oman Electricity Transmission Company; Sultanate; Tractebel Engineering; area-based forecasting method; electricity consumption; global based forecasting methods; least cost transmission network development; load demand forecasting model development; mathematical regression; socio-economic indicator; transmission expansion planning; transmission system master plan; Economic indicators; Electricity; Integrated circuit interconnections; Load forecasting; Planning; Sociology; Statistics; Demand Forecast; Long-Term Planning; Master Plan; Transmission System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th
  • Conference_Location
    Muscat
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2015.7060041
  • Filename
    7060041