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Improvement of Economic Integration of Renewable Energy Resources through Incentive-Based Demand Response Programs

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  • Reza Jalilzadeh Hamidi

    (ECE Department, College of Engineering and Computing, Georgia Southern University, Statesboro, GA 30458, USA)

  • Ailin Asadinejad

    (Hitachi Energy, Raleigh, NC 27606, USA)

Abstract

The integration of renewable generation presents a promising venue for displacing fossil fuels, yet integration remains a challenge. This paper investigates Demand Response (DR) as a means of economically integrating Renewable Energy Resources (RERs). We propose Incentive-Based DR (IBDR) programs, particularly suitable for small customers. The uncertainties in the electricity market price pose a challenge to IBDR programs, which is addressed in this paper through a novel and robust IBDR approach that considers both the electricity market price uncertainties and customer responses to incentives. In this paper, scenarios are simulated premised on the Western Electricity Coordinating Council (WECC) 240-bus system in which coal-fired power plants become inactivated, while the RER contribution increases in the span of one year. The simulation results indicate that the proposed IBDR program mitigates the issues associated with renewable expansion, such as utility benefit loss and market price volatility. In addition, the proposed IBDR effectively manages up to 30% of errors in day-ahead wind forecasts that significantly reduce financial risks linked to IBDR programs.

Suggested Citation

  • Reza Jalilzadeh Hamidi & Ailin Asadinejad, 2024. "Improvement of Economic Integration of Renewable Energy Resources through Incentive-Based Demand Response Programs," Energies, MDPI, vol. 17(11), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2545-:d:1401307
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    References listed on IDEAS

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    1. Soonwoo Lee & Hui-Myoung Oh & Jung Min Pak, 2024. "Event-Triggered Transmission of Sensor Measurements Using Twin Hybrid Filters for Renewable Energy Resource Management Systems," Energies, MDPI, vol. 17(22), pages 1-18, November.

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