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Strategic interaction among distribution network operator and residential end-users via distribution use of system charges in demand-side management environment

Author

Listed:
  • Mishra, Mrityunjay Kumar
  • Al-Sumaiti, Ameena Saad
  • Murari, Krishna
  • Parida, S.K.
  • Jaafari, Khaled Al

Abstract

Price-based demand side management involves end-users responding to per-slot energy prices to optimize their energy consumption and reduce bills. The per-slot energy price constitutes distribution use of system charges which makeup 19%–24% of it. Existing work primarily focuses on the interaction between distribution network operators, larger storage/generation facilities, and prosumers overlooking the fairness of tariff structures used to recover distribution network operators’ revenue. This oversight leads to unfair pricing for end-users, as it disregards factors such as the distance power must travel and the utilization of devices like transformers and transmission lines. This study employ the MW-Miles Distribution use of System Charges charging methodology to address this issue and designs a method to couple per-slot energy price to distribution use of system charges, considering distribution network operator as market players in a Stackelberg game framework. Two cases are devised to update distribution network operator-controlled parameters, with three perturbation strategies discussed for each case. The interaction between independent end-users is modeled using a noncooperative game framework, analyzing Nash equilibrium existence and algorithm convergence. An IEEE-33 bus system with residential end-users, home appliances, distributed energy storage, and dispatchable distributed generation is chosen for analysis. To account for end-user discomfort due to power-shiftable devices, a discomfort objective is included alongside energy bill savings. The results demonstrate a 7.67% increase in distribution network operators’ revenue when actively participating in demand-side management program compared to its passive role as a utility.

Suggested Citation

  • Mishra, Mrityunjay Kumar & Al-Sumaiti, Ameena Saad & Murari, Krishna & Parida, S.K. & Jaafari, Khaled Al, 2024. "Strategic interaction among distribution network operator and residential end-users via distribution use of system charges in demand-side management environment," Applied Energy, Elsevier, vol. 364(C).
  • Handle: RePEc:eee:appene:v:364:y:2024:i:c:s0306261924004896
    DOI: 10.1016/j.apenergy.2024.123106
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    References listed on IDEAS

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    1. Jalali, Mehdi & Zare, Kazem & Seyedi, Heresh, 2017. "Strategic decision-making of distribution network operator with multi-microgrids considering demand response program," Energy, Elsevier, vol. 141(C), pages 1059-1071.
    2. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    3. Avau, Michiel & Govaerts, Niels & Delarue, Erik, 2021. "Impact of distribution tariffs on prosumer demand response," Energy Policy, Elsevier, vol. 151(C).
    4. Dynge, Marthe Fogstad & Crespo del Granado, Pedro & Hashemipour, Naser & Korpås, Magnus, 2021. "Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations," Applied Energy, Elsevier, vol. 301(C).
    5. Yao, Wenliang & Wang, Chengfu & Yang, Ming & Wang, Kang & Dong, Xiaoming & Zhang, Zhenwei, 2023. "A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing," Applied Energy, Elsevier, vol. 342(C).
    6. Yoon, Ah-Yun & Kim, Young-Jin & Zakula, Tea & Moon, Seung-Ill, 2020. "Retail electricity pricing via online-learning of data-driven demand response of HVAC systems," Applied Energy, Elsevier, vol. 265(C).
    7. Lo Prete, Chiara & Hobbs, Benjamin F., 2016. "A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets," Applied Energy, Elsevier, vol. 169(C), pages 524-541.
    8. Babagheibi, Mahsa & Jadid, Shahram & Kazemi, Ahad, 2023. "An Incentive-based robust flexibility market for congestion management of an active distribution system to use the free capacity of Microgrids," Applied Energy, Elsevier, vol. 336(C).
    9. Nguyen, Hai-Tra & Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy," Applied Energy, Elsevier, vol. 322(C).
    10. Zhang, Chunyu & Wang, Qi & Wang, Jianhui & Korpås, Magnus & Khodayar, Mohammad E., 2016. "Strategy-making for a proactive distribution company in the real-time market with demand response," Applied Energy, Elsevier, vol. 181(C), pages 540-548.
    11. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
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