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Day-ahead economical planning of multi-vector energy district considering demand response program

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  • Ghasemi-Marzbali, Ali
  • Shafiei, Mohammad
  • Ahmadiahangar, Roya

Abstract

Increasing technology developments and economic considerations have also made the use of renewable energy sources (RESs) and energy storage systems (ESSs) inevitable. To achieve the holistic planning of a microgrid consisting of several energy resources, this paper proposes a novel multi-vector energy system based on electricity, heating, and water generation sources. To supply electrical energy from heat generation units, a water-power nexus (WPN), an ESS, photovoltaic (PV) sources, and a combined heat and power (CHP) system are used. Considering the importance of Hydro generation in planning, combined energy-water and water-only systems are used to supply water demand, while heat-power and heating generation systems are used to supply heating. To make the model more realistic, the effects of the valve point, maximum and minimum generation constraints, increasing/decreasing rate, energy, water, and heating demand balance were taken into account. The main objective function of this study was to minimize multi-vector energy system costs in 24 h. To promote demand-side performance, the price-based demand response program was used to reduce the final costs in the entire study period. The proposed models have been formulated as a mixed-integer linear problem solved by the CPLEX solver in GAMS. Simulation results show that the use of RES and their proper management can reduce the generation of a thermal generator, which reduces the costs considerably. With the demand response program, the costs were reduced by 1.03%. This paper presents a systematic method for optimal system control that can provide a regulatory basis for the use of integrated generation sources.

Suggested Citation

  • Ghasemi-Marzbali, Ali & Shafiei, Mohammad & Ahmadiahangar, Roya, 2023. "Day-ahead economical planning of multi-vector energy district considering demand response program," Applied Energy, Elsevier, vol. 332(C).
    • Handle: RePEc:eee:appene:v:332:y:2023:i:c:s0306261922016087
    DOI: 10.1016/j.apenergy.2022.120351
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    References listed on IDEAS

    as
    1. Ahmadi, Esmaeil & McLellan, Benjamin & Tezuka, Tetsuo, 2020. "The economic synergies of modelling the renewable energy-water nexus towards sustainability," Renewable Energy, Elsevier, vol. 162(C), pages 1347-1366.
    2. Wang, Saige & Fath, Brian & Chen, Bin, 2019. "Energy–water nexus under energy mix scenarios using input–output and ecological network analyses," Applied Energy, Elsevier, vol. 233, pages 827-839.
    3. Liu, Zhi-Feng & Li, Ling-Ling & Liu, Yu-Wei & Liu, Jia-Qi & Li, Heng-Yi & Shen, Qiang, 2021. "Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach," Energy, Elsevier, vol. 235(C).
    4. Alipour, Manijeh & Zare, Kazem & Seyedi, Heresh & Jalali, Mehdi, 2019. "Real-time price-based demand response model for combined heat and power systems," Energy, Elsevier, vol. 168(C), pages 1119-1127.
    5. Zou, Dexuan & Li, Steven & Kong, Xiangyong & Ouyang, Haibin & Li, Zongyan, 2019. "Solving the combined heat and power economic dispatch problems by an improved genetic algorithm and a new constraint handling strategy," Applied Energy, Elsevier, vol. 237(C), pages 646-670.
    6. Ahmadiahangar, Roya & Karami, Hossein & Husev, Oleksandr & Blinov, Andrei & Rosin, Argo & Jonaitis, Audrius & Sanjari, Mohammad Javad, 2022. "Analytical approach for maximizing self-consumption of nearly zero energy buildings- case study: Baltic region," Energy, Elsevier, vol. 238(PB).
    7. Moazeni, Faegheh & Khazaei, Javad, 2020. "Dynamic economic dispatch of islanded water-energy microgrids with smart building thermal energy management system," Applied Energy, Elsevier, vol. 276(C).
    8. Basu, M., 2019. "Squirrel search algorithm for multi-region combined heat and power economic dispatch incorporating renewable energy sources," Energy, Elsevier, vol. 182(C), pages 296-305.
    9. Kholerdi, Somayeh Siahchehre & Ghasemi-Marzbali, Ali, 2021. "Interactive Time-of-use demand response for industrial electricity customers: A case study," Utilities Policy, Elsevier, vol. 70(C).
    10. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & Gharehpetian, G.B., 2018. "A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2128-2143.
    11. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    12. Jabari, Farkhondeh & Jabari, Hamid & Mohammadi-ivatloo, Behnam & Ghafouri, Jafar, 2019. "Optimal short-term coordination of water-heat-power nexus incorporating plug-in electric vehicles and real-time demand response programs," Energy, Elsevier, vol. 174(C), pages 708-723.
    13. Liu, Ming & Ma, Guofeng & Wang, Shan & Wang, Yu & Yan, Junjie, 2021. "Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an energy hub," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    14. Ghasemi-Marzbali, Ali, 2020. "Multi-area multi-source automatic generation control in deregulated power system," Energy, Elsevier, vol. 201(C).
    15. Weidong Li & Tie Li & Haixin Wang & Jian Dong & Yunlu Li & Dai Cui & Weichun Ge & Junyou Yang & Martin Onyeka Okoye, 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response," Energies, MDPI, vol. 12(5), pages 1-18, March.
    16. Dadashi-Rad, Mohammad Hosein & Ghasemi-Marzbali, Ali & Ahangar, Roya Ahmadi, 2020. "Modeling and planning of smart buildings energy in power system considering demand response," Energy, Elsevier, vol. 213(C).
    17. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus," Energy, Elsevier, vol. 66(C), pages 363-377.
    18. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    19. Okampo, Ewaoche John & Nwulu, Nnamdi, 2021. "Optimisation of renewable energy powered reverse osmosis desalination systems: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    20. Qingshan Xu & Yifan Ding & Aixia Zheng, 2017. "An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    21. Yongli Wang & Haiyang Yu & Mingyue Yong & Yujing Huang & Fuli Zhang & Xiaohai Wang, 2018. "Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss," Energies, MDPI, vol. 11(7), pages 1-21, June.
    22. Manzoor Ellahi & Ghulam Abbas & Irfan Khan & Paul Mario Koola & Mashood Nasir & Ali Raza & Umar Farooq, 2019. "Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review," Energies, MDPI, vol. 12(22), pages 1-30, November.
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