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Multi-Objective Analysis of a CHP Plant Integrated Microgrid in Pakistan

Author

Listed:
  • Asad Waqar

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

  • Muhammad Shahbaz Tanveer

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

  • Jehanzeb Ahmad

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

  • Muhammad Aamir

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

  • Muneeb Yaqoob

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

  • Fareeha Anwar

    (Department of Electrical Engineering, Bahria University, 44000 Islamabad, Pakistan)

Abstract

In developing countries like Pakistan, the capacity shortage (CS) of electricity is a critical problem. The frequent natural gas (NG) outages compel consumers to use electricity to fulfill the thermal loads, which ends up as an increase in electrical load. In this scenario, the authors have proposed the concept of a combined heat & power (CHP) plant to be a better option for supplying both electrical and thermal loads simultaneously. A CHP plant-based microgrid comprising a PV array, diesel generators and batteries (operating in grid-connected as well as islanded modes) has been simulated using the HOMER Pro software. Different configurations of distributed generators (DGs) with/without batteries have been evaluated considering multiple objectives. The multiple objectives include the minimization of the total net present cost (TNPC), cost of generated energy (COE) and the annual greenhouse gas (GHG) emissions, as well as the maximization of annual waste heat recovery (WHR) of thermal units and annual grid sales (GS). These objectives are subject to the constraints of power balance, battery operation within state of charge (SOC) limits, generator operation within capacity limits and zero capacity shortage. The simulations have been performed on six cities including Islamabad, Lahore, Karachi, Peshawar, Quetta and Gilgit. The simulation results have been analyzed to find the most optimal city for the CHP plant integrated microgrid.

Suggested Citation

  • Asad Waqar & Muhammad Shahbaz Tanveer & Jehanzeb Ahmad & Muhammad Aamir & Muneeb Yaqoob & Fareeha Anwar, 2017. "Multi-Objective Analysis of a CHP Plant Integrated Microgrid in Pakistan," Energies, MDPI, vol. 10(10), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1625-:d:115286
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    References listed on IDEAS

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    1. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim & Yong-Hoon Im & Jae-Yong Lee, 2017. "Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations," Energies, MDPI, vol. 10(6), pages 1-21, June.
    2. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    3. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    4. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    5. Ping Li & Haixia Wang & Quan Lv & Weidong Li, 2017. "Combined Heat and Power Dispatch Considering Heat Storage of Both Buildings and Pipelines in District Heating System for Wind Power Integration," Energies, MDPI, vol. 10(7), pages 1-19, June.
    6. Aboelsood Zidan & Hossam A. Gabbar, 2016. "DG Mix and Energy Storage Units for Optimal Planning of Self-Sufficient Micro Energy Grids," Energies, MDPI, vol. 9(8), pages 1-18, August.
    7. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
    8. Buoro, D. & Casisi, M. & De Nardi, A. & Pinamonti, P. & Reini, M., 2013. "Multicriteria optimization of a distributed energy supply system for an industrial area," Energy, Elsevier, vol. 58(C), pages 128-137.
    9. Guanglin Zhang & Yu Cao & Yongsheng Cao & Demin Li & Lin Wang, 2017. "Optimal Energy Management for Microgrids with Combined Heat and Power (CHP) Generation, Energy Storages, and Renewable Energy Sources," Energies, MDPI, vol. 10(9), pages 1-18, August.
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    Cited by:

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    6. Mohammed Abdullah H. Alshehri & Youguang Guo & Gang Lei, 2023. "Energy Management Strategies of Grid-Connected Microgrids under Different Reliability Conditions," Energies, MDPI, vol. 16(9), pages 1-22, May.
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