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Demand-Side Flexibility in Power Systems, Structure, Opportunities, and Objectives: A Review for Residential Sector

Author

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  • Hessam Golmohamadi

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Saeed Golestan

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Rakesh Sinha

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

  • Birgitte Bak-Jensen

    (Department of Energy, Aalborg University, 9220 Aalborg, Denmark)

Abstract

The integration of renewable energy sources (RESs) is rapidly increasing within energy systems worldwide. However, this shift introduces intermittency and uncertainty on the supply side. To hedge against RES intermittency, demand-side flexibility introduces a practical solution. Therefore, further studies are required to unleash demand-side flexibility in power systems. This flexibility is relevant across various sectors of power systems, including residential, industrial, commercial, and agricultural sectors. This paper reviews the key aspects of demand-side flexibility within the residential sector. To achieve this objective, a general introduction to demand flexibility across the four sectors is provided. As a contribution of this paper, and in comparison with previous studies, household appliances are classified based on their flexibility and controllability. The flexibility potential of key residential demands, including heat pumps, district heating, electric vehicles, and battery systems, is then reviewed. Another contribution of this paper is the exploration of demand-side flexibility scheduling under uncertainty, examining three approaches: stochastic programming, robust optimization, and information-gap decision theory. Additionally, the integration of demand flexibility into short-term electricity markets with high-RES penetration is discussed. Finally, the key objective functions and simulation software used in the study of demand-side flexibility are reviewed.

Suggested Citation

  • Hessam Golmohamadi & Saeed Golestan & Rakesh Sinha & Birgitte Bak-Jensen, 2024. "Demand-Side Flexibility in Power Systems, Structure, Opportunities, and Objectives: A Review for Residential Sector," Energies, MDPI, vol. 17(18), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4670-:d:1481313
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    as
    1. Saedi, Isam & Mhanna, Sleiman & Mancarella, Pierluigi, 2021. "Integrated electricity and gas system modelling with hydrogen injections and gas composition tracking," Applied Energy, Elsevier, vol. 303(C).
    2. Zhang, Suhan & Chen, Shibo & Gu, Wei & Lu, Shuai & Chung, Chi Yung, 2024. "Dynamic optimal energy flow of integrated electricity and gas systems in continuous space," Applied Energy, Elsevier, vol. 375(C).
    3. Andersen, Anders N. & Østergaard, Poul Alberg, 2018. "A method for assessing support schemes promoting flexibility at district energy plants," Applied Energy, Elsevier, vol. 225(C), pages 448-459.
    4. Maouris, Georgios & Sarabia Escriva, Emilio Jose & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2020. "CO2 refrigeration system heat recovery and thermal storage modelling for space heating provision in supermarkets: An integrated approach," Applied Energy, Elsevier, vol. 264(C).
    5. Akbari, Ehsan & Mousavi Shabestari, Seyed Farzin & Pirouzi, Sasan & Jadidoleslam, Morteza, 2023. "Network flexibility regulation by renewable energy hubs using flexibility pricing-based energy management," Renewable Energy, Elsevier, vol. 206(C), pages 295-308.
    6. Farzamkia, Saleh & Ranjbar, Hossein & Hatami, Alireza & Iman-Eini, Hossein, 2016. "A novel PSO (Particle Swarm Optimization)-based approach for optimal schedule of refrigerators using experimental models," Energy, Elsevier, vol. 107(C), pages 707-715.
    7. Wahlroos, Mikko & Pärssinen, Matti & Manner, Jukka & Syri, Sanna, 2017. "Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks," Energy, Elsevier, vol. 140(P1), pages 1228-1238.
    8. Dapeng Wang & Cong Zhang & Wanqing Jia & Qian Liu & Long Cheng & Huaizhi Yang & Yufeng Luo & Na Kuang, 2022. "A Novel Interval Programming Method and Its Application in Power System Optimization Considering Uncertainties in Load Demands and Renewable Power Generation," Energies, MDPI, vol. 15(20), pages 1-19, October.
    9. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2020. "Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators," Applied Energy, Elsevier, vol. 279(C).
    10. Golmohamadi, Hessam, 2021. "Stochastic energy optimization of residential heat pumps in uncertain electricity markets," Applied Energy, Elsevier, vol. 303(C).
    11. Moshövel, Janina & Kairies, Kai-Philipp & Magnor, Dirk & Leuthold, Matthias & Bost, Mark & Gährs, Swantje & Szczechowicz, Eva & Cramer, Moritz & Sauer, Dirk Uwe, 2015. "Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption," Applied Energy, Elsevier, vol. 137(C), pages 567-575.
    12. Hari Prasad Devarapalli & Venkata Samba Sesha Siva Sarma Dhanikonda & Sitarama Brahmam Gunturi, 2021. "Demand-Side Management for Improvement of the Power Quality in Smart Homes Using Non-Intrusive Identification of Appliance Usage Patterns with the True Power Factor," Energies, MDPI, vol. 14(16), pages 1-19, August.
    13. Sadeghianpourhamami, N. & Demeester, T. & Benoit, D.F. & Strobbe, M. & Develder, C., 2016. "Modeling and analysis of residential flexibility: Timing of white good usage," Applied Energy, Elsevier, vol. 179(C), pages 790-805.
    14. Juan M. Morales & Antonio J. Conejo & Henrik Madsen & Pierre Pinson & Marco Zugno, 2014. "Integrating Renewables in Electricity Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-9411-9, April.
    15. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    16. Lu, Renzhi & Bai, Ruichang & Huang, Yuan & Li, Yuting & Jiang, Junhui & Ding, Yuemin, 2021. "Data-driven real-time price-based demand response for industrial facilities energy management," Applied Energy, Elsevier, vol. 283(C).
    17. Golmohamadi, Hessam & Asadi, Amin, 2020. "A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets," Applied Energy, Elsevier, vol. 265(C).
    18. Finck, Christian & Li, Rongling & Kramer, Rick & Zeiler, Wim, 2018. "Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems," Applied Energy, Elsevier, vol. 209(C), pages 409-425.
    19. Flores-Quiroz, Angela & Strunz, Kai, 2021. "A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option," Applied Energy, Elsevier, vol. 291(C).
    20. Tuomela, Sanna & de Castro Tomé, Mauricio & Iivari, Netta & Svento, Rauli, 2021. "Impacts of home energy management systems on electricity consumption," Applied Energy, Elsevier, vol. 299(C).
    21. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    22. Heydarian-Forushani, E. & Golshan, M.E.H. & Shafie-khah, M., 2016. "Flexible interaction of plug-in electric vehicle parking lots for efficient wind integration," Applied Energy, Elsevier, vol. 179(C), pages 338-349.
    23. Parantapa Sawant & Oscar Villegas Mier & Michael Schmidt & Jens Pfafferott, 2021. "Demonstration of Optimal Scheduling for a Building Heat Pump System Using Economic-MPC," Energies, MDPI, vol. 14(23), pages 1-15, November.
    24. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2021. "Robust self-scheduling of parking lot microgrids leveraging responsive electric vehicles," Applied Energy, Elsevier, vol. 290(C).
    25. Rodriguez, Mauricio & Arcos–Aviles, Diego & Martinez, Wilmar, 2023. "Fuzzy logic-based energy management for isolated microgrid using meta-heuristic optimization algorithms," Applied Energy, Elsevier, vol. 335(C).
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