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Demand side management program evaluation based on industrial and commercial field data

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  • M.M., Eissa

Abstract

Demand Response is increasingly viewed as an important tool for use by the electric utility industry in meeting the growing demand for electricity. There are two basic categories of demand response options: time varying retail tariffs and incentive Demand Response Programs. Electricity Saudi Company (ESC) is applying the time varying retail tariffs program, which is not suitable according to the studied load curves captured from the industrial and commercial sectors. Different statistical studies on daily load curves for consumers connected to 22kV lines are classified. The load curve criteria used for classification is based on peak ratio and night ratio. The data considered here is a set of 120 annual load curves corresponding to the electric power consumption (the western area in the King Saudi Arabia (KSA)) of many clients in winter and some months in the summer (peak period). The study is based on real data from several Saudi customer sectors in many geographical areas with larger commercial and industrial customers. The study proved that the suitable Demand Response for the ESC is the incentive program.

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  • M.M., Eissa, 2011. "Demand side management program evaluation based on industrial and commercial field data," Energy Policy, Elsevier, vol. 39(10), pages 5961-5969, October.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:10:p:5961-5969
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    References listed on IDEAS

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    1. Ashok, S. & Banerjee, R., 2000. "Load-management applications for the industrial sector," Applied Energy, Elsevier, vol. 66(2), pages 105-111, June.
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    2. Rilwan Usman & Pegah Mirzania & Sahban W. Alnaser & Phil Hart & Chao Long, 2022. "Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries," Energies, MDPI, vol. 15(21), pages 1-24, October.
    3. Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
    4. Allegra De Filippo & Michele Lombardi & Michela Milano, 2017. "User-Aware Electricity Price Optimization for the Competitive Market," Energies, MDPI, vol. 10(9), pages 1-23, September.

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    Keywords

    DSM Time of use Incentive programs;

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