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Impact of Local Emergency Demand Response Programs on the Operation of Electricity and Gas Systems

Author

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  • Mohammad Mehdi Davari

    (Department of Electrical Engineering, Shahid Beheshti University, Tehran 1983969411, Iran)

  • Hossein Ameli

    (Control and Power Group, Imperial College, London SW7 2AZ, UK)

  • Mohammad Taghi Ameli

    (Department of Electrical Engineering, Shahid Beheshti University, Tehran 1983969411, Iran)

  • Goran Strbac

    (Control and Power Group, Imperial College, London SW7 2AZ, UK)

Abstract

With increasing attention to climate change, the penetration level of renewable energy sources (RES) in the electricity network is increasing. Due to the intermittency of RES, gas-fired power plants could play a significant role in backing up the RES in order to maintain the supply–demand balance. As a result, the interaction between gas and power networks are significantly increasing. On the other hand, due to the increase in peak demand (e.g., electrification of heat), network operators are willing to execute demand response programs (DRPs) to improve congestion management and reduce costs. In this context, modeling and optimal implementation of DRPs in proportion to the demand is one of the main issues for gas and power network operators. In this paper, an emergency demand response program (EDRP) is implemented locally to reduce the congestion of transmission lines and gas pipelines more efficiently. Additionally, the effects of optimal implementation of local emergency demand response program (LEDRP) in gas and power networks using linear and non-linear economic models (power, exponential and logarithmic) for EDRP in terms of cost and line congestion and risk of unserved demand are investigated. The most reliable demand response model is the approach that has the least difference between the estimated demand and the actual demand. Furthermore, the role of the LEDRP in the case of hydrogen injection instead of natural gas in the gas infrastructure is investigated. The optimal incentives for each bus or node are determined based on the power transfer distribution factor, gas transfer distribution factor, available electricity or gas transmission capability, and combination of unit commitment with the LEDRP in the integrated operation of these networks. According to the results, implementing the LEDRP in gas and power networks reduces the total operation cost up to 11% and could facilitate hydrogen injection to the network. The proposed hybrid model is implemented on a 24-bus IEEE electricity network and a 15-bus gas network to quantify the role and value of different LEDRP models.

Suggested Citation

  • Mohammad Mehdi Davari & Hossein Ameli & Mohammad Taghi Ameli & Goran Strbac, 2022. "Impact of Local Emergency Demand Response Programs on the Operation of Electricity and Gas Systems," Energies, MDPI, vol. 15(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2144-:d:771632
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    References listed on IDEAS

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    1. Lun Yang & Xia Zhao & Xinyi Li & Wei Yan, 2018. "Probabilistic Steady-State Operation and Interaction Analysis of Integrated Electricity, Gas and Heating Systems," Energies, MDPI, vol. 11(4), pages 1-21, April.
    2. Wang, Fei & Ge, Xinxin & Yang, Peng & Li, Kangping & Mi, Zengqiang & Siano, Pierluigi & Duić, Neven, 2020. "Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing," Energy, Elsevier, vol. 213(C).
    3. Dehnavi, Ehsan & Abdi, Hamdi, 2016. "Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem," Energy, Elsevier, vol. 109(C), pages 1086-1094.
    4. Hines, Paul & Apt, Jay & Talukdar, Sarosh, 2009. "Large blackouts in North America: Historical trends and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5249-5259, December.
    5. Philip Tafarte & Annedore Kanngießer & Martin Dotzauer & Benedikt Meyer & Anna Grevé & Markus Millinger, 2020. "Interaction of Electrical Energy Storage, Flexible Bioenergy Plants and System-friendly Renewables in Wind- or Solar PV-dominated Regions," Energies, MDPI, vol. 13(5), pages 1-25, March.
    6. Ali Mohammad Rostami & Hossein Ameli & Mohammad Taghi Ameli & Goran Strbac, 2020. "Secure Operation of Integrated Natural Gas and Electricity Transmission Networks," Energies, MDPI, vol. 13(18), pages 1-17, September.
    7. Claude Ziad El-Bayeh & Ursula Eicker & Khaled Alzaareer & Brahim Brahmi & Mohamed Zellagui, 2020. "A Novel Data-Energy Management Algorithm for Smart Transformers to Optimize the Total Load Demand in Smart Homes," Energies, MDPI, vol. 13(18), pages 1-22, September.
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    Cited by:

    1. Masoumeh Sharifpour & Mohammad Taghi Ameli & Hossein Ameli & Goran Strbac, 2023. "A Resilience-Oriented Approach for Microgrid Energy Management with Hydrogen Integration during Extreme Events," Energies, MDPI, vol. 16(24), pages 1-18, December.
    2. Spyros Giannelos & Stefan Borozan & Marko Aunedi & Xi Zhang & Hossein Ameli & Danny Pudjianto & Ioannis Konstantelos & Goran Strbac, 2023. "Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids," Energies, MDPI, vol. 16(13), pages 1-15, June.
    3. Yizheng Li & Yuan Zeng & Zhidong Wang & Lang Zhao & Yao Wang, 2023. "Optimal Configuration Analysis Method of Energy Storage System Based on “Equal Area Criterion”," Energies, MDPI, vol. 16(24), pages 1-29, December.
    4. Mohammad Mehdi Amiri & Mohammad Taghi Ameli & Goran Strbac & Danny Pudjianto & Hossein Ameli, 2024. "The Role of Flexibility in the Integrated Operation of Low-Carbon Gas and Electricity Systems: A Review," Energies, MDPI, vol. 17(9), pages 1-26, May.

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