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Generation and transmission expansion planning incorporating economically feasible heterogeneous demand-side resources

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  • Wei, Hongyi
  • Ma, Mingchen
  • Jiang, Haiyang
  • Capuder, Tomislav
  • Teng, Fei
  • Strbac, Goran
  • Zhang, Jiawei
  • Zhang, Ning
  • Kang, Chongqing

Abstract

Emerging demand-side resources provide necessary flexible load regulations and power reserves for high-renewable penetrated power systems. In system planning, their regulation capabilities and response willingness should be emphasized rather than regarding them as fully dispatchable resources. This paper formulates a bi-level generation and transmission expansion planning (GTEP) problem considering the physical and economic feasibility. The lower-level problem flexibly dispatches demand-side resources, and the upper-level problem focuses on power system expansion planning, which is further turned into an equivalent single-level GTEP problem. We propose an available time interval aggregation method to reduce the number of time-dependent decision variables and constraints in the single-level GTEP problem. Case studies are performed on a modified Garver’s 6-node system and a practical 40-node East China power system to validate the method. Test results reveal that demand-side flexible resources contribute essential load regulations and reserve capacity to power systems.

Suggested Citation

  • Wei, Hongyi & Ma, Mingchen & Jiang, Haiyang & Capuder, Tomislav & Teng, Fei & Strbac, Goran & Zhang, Jiawei & Zhang, Ning & Kang, Chongqing, 2025. "Generation and transmission expansion planning incorporating economically feasible heterogeneous demand-side resources," Applied Energy, Elsevier, vol. 381(C).
  • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924024516
    DOI: 10.1016/j.apenergy.2024.125067
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    1. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2015. "Value of flexible electric vehicles in providing spinning reserve services," Applied Energy, Elsevier, vol. 157(C), pages 60-74.
    2. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & Dang, Shuping & Zhang, Jian & Zhou, Yuhui, 2016. "A source–grid–load coordinated power planning model considering the integration of wind power generation," Applied Energy, Elsevier, vol. 168(C), pages 13-24.
    3. Zeng, Yuan & Zhang, Ruiwen & Wang, Dong & Mu, Yunfei & Jia, Hongjie, 2019. "A regional power grid operation and planning method considering renewable energy generation and load control," Applied Energy, Elsevier, vol. 237(C), pages 304-313.
    4. De Coninck, Roel & Helsen, Lieve, 2016. "Quantification of flexibility in buildings by cost curves – Methodology and application," Applied Energy, Elsevier, vol. 162(C), pages 653-665.
    5. Lu, Xiaoxing & Li, Kangping & Xu, Hanchen & Wang, Fei & Zhou, Zhenyu & Zhang, Yagang, 2020. "Fundamentals and business model for resource aggregator of demand response in electricity markets," Energy, Elsevier, vol. 204(C).
    6. Manríquez, Francisco & Sauma, Enzo & Aguado, José & de la Torre, Sebastián & Contreras, Javier, 2020. "The impact of electric vehicle charging schemes in power system expansion planning," Applied Energy, Elsevier, vol. 262(C).
    7. Gu, Wei & Lu, Shuai & Wu, Zhi & Zhang, Xuesong & Zhou, Jinhui & Zhao, Bo & Wang, Jun, 2017. "Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch," Applied Energy, Elsevier, vol. 205(C), pages 173-186.
    8. Kostelac, Matija & Pavić, Ivan & Zhang, Ning & Capuder, Tomislav, 2022. "Uncertainty modelling of an industry facility as a multi-energy demand response provider," Applied Energy, Elsevier, vol. 307(C).
    9. Yijing Wang & Rong Wang & Katsumasa Tanaka & Philippe Ciais & Josep Penuelas & Yves Balkanski & Jordi Sardans & Didier Hauglustaine & Wang Liu & Xiaofan Xing & Jiarong Li & Siqing Xu & Yuankang Xiong , 2023. "Accelerating the energy transition towards photovoltaic and wind in China," Nature, Nature, vol. 619(7971), pages 761-767, July.
    10. Sgouridis, Sgouris & Ali, Mohamed & Sleptchenko, Andrei & Bouabid, Ali & Ospina, Gustavo, 2021. "Aluminum smelters in the energy transition: Optimal configuration and operation for renewable energy integration in high insolation regions," Renewable Energy, Elsevier, vol. 180(C), pages 937-953.
    11. Xenos, Dionysios P. & Mohd Noor, Izzati & Matloubi, Mitra & Cicciotti, Matteo & Haugen, Trond & Thornhill, Nina F., 2016. "Demand-side management and optimal operation of industrial electricity consumers: An example of an energy-intensive chemical plant," Applied Energy, Elsevier, vol. 182(C), pages 418-433.
    12. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    13. Prebeg, Pero & Gasparovic, Goran & Krajacic, Goran & Duic, Neven, 2016. "Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 1493-1507.
    14. Cai, Sinan & Matsuhashi, Ryuji, 2022. "Optimal dispatching control of EV aggregators for load frequency control with high efficiency of EV utilization," Applied Energy, Elsevier, vol. 319(C).
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