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Optimal Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies

Author

Listed:
  • Haseeb Javed

    (Department of Electrical Engineering, Muhammad Nawaz Sharif University of Engineering and Technology, Multan 60000, Pakistan)

  • Hafiz Abdul Muqeet

    (Department of Electrical Engineering Technology, Punjab Tianjin University of Technology, Lahore 54770, Pakistan)

  • Moazzam Shehzad

    (Department of Electrical Engineering, University of Engineering and Technology (RCET), Lahore 54890, Pakistan)

  • Mohsin Jamil

    (Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada)

  • Ashraf Ali Khan

    (Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada)

  • Josep M. Guerrero

    (The Villum Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg East, Denmark)

Abstract

An energy management system (EMS) was proposed for a campus microgrid (µG) with the incorporation of renewable energy resources to reduce the operational expenses and costs. Many uncertainties have created problems for microgrids that limit the generation of photovoltaics, causing an upsurge in the energy market prices, where regulating the voltage or frequency is a challenging task among several microgrid systems, and in the present era, it is an extremely important research area. This type of difficulty may be mitigated in the distribution system by utilizing the optimal demand response (DR) planning strategy and a distributed generator (DG). The goal of this article was to present a strategy proposal for the EMS structure for a campus microgrid to reduce the operational costs while increasing the self-consumption from green DGs. For this reason, a real-time-based institutional campus was investigated here, which aimed to get all of its power from the utility grid. In the proposed scenario, solar panels and wind turbines were considered as non-dispatchable DGs, whereas a diesel generator was considered as a dispatchable DG, with the inclusion of an energy storage system (ESS) to deal with solar radiation disruptions and high utility grid running expenses. The resulting linear mathematical problem was validated and plotted in MATLAB with mixed-integer linear programming (MILP). The simulation findings demonstrated that the proposed model of the EMS reduced the grid electricity costs by 38% for the campus microgrid. The environmental effects, economic effects, and the financial comparison of installed capacity of the PV system were also investigated here, and it was discovered that installing 1000 kW and 2000 kW rooftop solar reduced the GHG generation by up to 365.34 kg CO 2 /day and 700.68 kg CO 2 /day, respectively. The significant economic and environmental advantages based on the current scenario encourage campus owners to invest in DGs and to implement the installation of energy storage systems with advanced concepts.

Suggested Citation

  • Haseeb Javed & Hafiz Abdul Muqeet & Moazzam Shehzad & Mohsin Jamil & Ashraf Ali Khan & Josep M. Guerrero, 2021. "Optimal Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies," Energies, MDPI, vol. 14(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8501-:d:704296
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    References listed on IDEAS

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    1. Pouria Sheikhahmadi & Ramyar Mafakheri & Salah Bahramara & Maziar Yazdani Damavandi & João P. S. Catalão, 2018. "Risk-Based Two-Stage Stochastic Optimization Problem of Micro-Grid Operation with Renewables and Incentive-Based Demand Response Programs," Energies, MDPI, vol. 11(3), pages 1-17, March.
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    Cited by:

    1. Yongliang Liang & Zhiqi Li & Yuchuan Li & Shuwen Leng & Hongmei Cao & Kejun Li, 2023. "Bilevel Optimal Economic Dispatch of CNG Main Station Considering Demand Response," Energies, MDPI, vol. 16(7), pages 1-28, March.
    2. Asjad Ali & Abdullah Aftab & Muhammad Nadeem Akram & Shoaib Awan & Hafiz Abdul Muqeet & Zeeshan Ahmad Arfeen, 2024. "Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response," Sustainability, MDPI, vol. 16(5), pages 1-27, March.
    3. Yinghao Shan & Liqian Ma & Xiangkai Yu, 2023. "Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand," Energies, MDPI, vol. 16(14), pages 1-23, July.
    4. Alexandros Paspatis & Konstantinos Fiorentzis & Yiannis Katsigiannis & Emmanuel Karapidakis, 2022. "Smart Campus Microgrids towards a Sustainable Energy Transition—The Case Study of the Hellenic Mediterranean University in Crete," Mathematics, MDPI, vol. 10(7), pages 1-19, March.
    5. Zheng, Shiyong & Shahzad, Muhammad & Asif, Hafiz Muhammad & Gao, Jing & Muqeet, Hafiz Abdul, 2023. "Advanced optimizer for maximum power point tracking of photovoltaic systems in smart grid: A roadmap towards clean energy technologies," Renewable Energy, Elsevier, vol. 206(C), pages 1326-1335.
    6. Amad Ali & Rabia Shakoor & Abdur Raheem & Hafiz Abd ul Muqeet & Qasim Awais & Ashraf Ali Khan & Mohsin Jamil, 2022. "Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study," Energies, MDPI, vol. 15(13), pages 1-19, June.
    7. Soheil Younesi & Bahman Ahmadi & Oguzhan Ceylan & Aydogan Ozdemir, 2022. "Optimum Parallel Processing Schemes to Improve the Computation Speed for Renewable Energy Allocation and Sizing Problems," Energies, MDPI, vol. 15(24), pages 1-18, December.
    8. Muhammad Waqas & Mohsin Jamil & Ashraf Ali Khan, 2024. "Hybrid Power System Design and Dynamic Modeling for Enhanced Reliability in Remote Natural Gas Pipeline Control Stations," Energies, MDPI, vol. 17(7), pages 1-24, April.
    9. Hafiz Abdul Muqeet & Rehan Liaqat & Mohsin Jamil & Asharf Ali Khan, 2023. "A State-of-the-Art Review of Smart Energy Systems and Their Management in a Smart Grid Environment," Energies, MDPI, vol. 16(1), pages 1-23, January.
    10. Shoaib Nazir & Asjad Ali & Abdullah Aftab & Hafiz Abdul Muqeet & Sohrab Mirsaeidi & Jian-Min Zhang, 2023. "Techno-Economic and Environmental Perspectives of Solar Cell Technologies: A Comprehensive Review," Energies, MDPI, vol. 16(13), pages 1-31, June.
    11. Muhammad Majid Gulzar & Muhammad Iqbal & Sulman Shahzad & Hafiz Abdul Muqeet & Muhammad Shahzad & Muhammad Majid Hussain, 2022. "Load Frequency Control (LFC) Strategies in Renewable Energy-Based Hybrid Power Systems: A Review," Energies, MDPI, vol. 15(10), pages 1-23, May.
    12. Surender Reddy Salkuti, 2022. "Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid," Energies, MDPI, vol. 15(18), pages 1-7, September.

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