IoT-based intelligent source–load–storage coordination scheme for prosumer campus microgrids

Hafiz Abdul Muqeet, Muhammad Shahzad, Moazzam Shehzad, Jumshed Akhter, Ziyad M. Almohaimeed, Rizwan Akram, Muhammad Majid Hussain

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
98 Downloads (Pure)


Electrical energy is very necessary for human life in the modern era. The rising energy prices, depletion of fossil fuels, and instability of the grid are alarming situations. So, it needs a smart solution to ensure the balance between pricing and saving natural resources. Some other issues like environmental change, limitations on installation of new transmission lines, reliability concerns, and considering the expansion in distributed energy generation technologies promise the implementation of distributed generation extensively. The integration of two or more energy supplies in a power system is known as distributed energy resource system. In this study, a university campus is taken as a case study to reduce the energy cost while considering the aforementioned issues. The intelligent source–load–storage coordination scheme is proposed to utilize the available renewable energy resources with storage systems. The proposed linear model is solved in MATLAB using the exact method technique considering the economic parameters. The campus microgrid analysis is not addressed considering the Internet-of-Thing (IoT)-based building, especially in the scenario of Pakistan. The results show the efficacy of the proposed model and can be implemented on the existing campus for source–load–storage coordination as an economical solution.
Original languageEnglish
Article number960104
JournalFrontiers in Energy Research
Publication statusPublished - 11 Oct 2022


  • campus microgrid
  • demand response
  • distributed generation
  • electric vehicle
  • energy management system
  • energy market
  • energy storage

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Economics and Econometrics


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