Design, Model & Planning of Prosumer Microgrid for MNS UET Multan Campus

Haseeb javed

doi:10.33317/ssurj.381

Authors

Haseeb javed Muhammad Nawaz Sharif University of Engineering & Technology, Multan

DOI:

https://doi.org/10.33317/ssurj.381

Keywords:

Campus Micrgrid, Designing, Planning

Abstract

The goal of this study is to provide a model and conceptual design for a prosumer campus microgrid that will help the university campus economically. The proposed model is based on solar PV installation at department rooftop for the campus of Muhammad Nawaz Sharif University of Engineering and Technology's in Multan, Pakistan. This study indicates that a 3,196-kW grid-connected solar photovoltaic system may generate enough electrical power to meet consumption, reducing grid reliance and minimizing energy from grid supply. This study also includes an economical and financial analysis of the proposed system based on various assumptions. PVSol Software was used to conduct a solar potential study and design of the site. Our study and analysis revealed that our suggested PV model can create 3,196.53 kWh of PV energy (DC), which is about 81.6 percent of the yearly consumption of our chosen site of 3,784.56 kWh.

References

Mehdi, M. R., & Rizvi, S. A. I. (2001). A recent view of engineering education in Pakistan. Journal of Engineering Education, 90(2), 207-211.

Alavi, F., Van De Wouw, N., & De Schutter, B. (2019). Power scheduling of fuel cell cars in an islanded mode microgrid with private driving patterns. IEEE Transactions on Control Systems Technology, 28(4), 1393-1403.

Waqar, A., Shahbaz Tanveer, M., Ahmad, J., Aamir, M., Yaqoob, M., & Anwar, F. (2017). Multi-objective analysis of a CHP plant integrated microgrid in Pakistan. Energies, 10(10), 1625.

Chanda, S., Venkataramanan, V., & Srivastava, A. K. (2014, September). Real-time modeling and simulation of campus microgrid for voltage analysis. In 2014 North American Power Symposium (NAPS) (pp. 1-6). IEEE.

Muqeet, H. A. U., & Ahmad, A. (2020). Optimal scheduling for campus prosumer microgrid considering price-based demand response. IEEE Access, 8, 71378-71394.

Shah, P., & Mehta, B. (2020). Microgrid optimal scheduling with renewable energy sources considering islanding constraints. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 44(2), 805-819.

Iqbal, F., & Siddiqui, A. S. (2017). Optimal configuration analysis for a campus microgrid—a case study. Protection and Control of Modern Power Systems, 2(1), 1-12.

Arzani, A., Boshoff, S., Arunagirinathan, P., & Enslin, J. H. (2018, June). System Design, Economic Analysis, and Operation Strategy of a Campus Microgrid. In 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (pp. 1-7). IEEE.

Alharbi, W., & Raahemifar, K. (2015). Probabilistic coordination of microgrid energy resources operation considering uncertainties. Electric Power Systems Research, 128, 1-10.

Zia, M. F., Elbouchikhi, E., & Benbouzid, M. (2018). Microgrids energy management systems: A critical review on methods, solutions, and prospects. Applied energy, 222, 1033-1055.

Moura, P., Sriram, U., & Mohammadi, J. (2021, June). Sharing Mobile and Stationary Energy Storage Resources in Transactive Energy Communities. In 2021 IEEE Madrid PowerTech (pp. 1-6). IEEE.

Akindeji, K. T., Tiako, R., & Davidson, I. E. (2019, March). Use of renewable energy sources in university campus microgrid–a review. In 2019 International Conference on the Domestic Use of Energy (DUE) (pp. 76-83). IEEE.

climatestotravel.com. (2021). Climate - Pakistan: Average weather, temperature, rainfall, when to go, what to pack. Retrieved from https://www.climatestotravel.com/climate/pakistan

Chen, C., Duan, S., & Cai, T. (2011). B, and G. Hu. Smart energy management system for optimal micro-grid economic operation, Renewable Power Generation, IET, 5, 258-267.

Samuel, O., Javaid, N., Khalid, A., Khan, W. Z., Aalsalem, M. Y., Afzal, M. K., & Kim, B. S. (2020). Towards real-time energy management of multi-microgrid using a deep convolution neural network and cooperative game approach. IEEE Access, 8, 161377-161395.

Mohiti, M., Monsef, H., Anvari-Moghaddam, A., Guerrero, J., & Lesani, H. (2019). A decentralized robust model for optimal operation of distribution companies with private microgrids. International Journal of Electrical Power & Energy Systems, 106, 105-123.

Kazem, H. A., Albadi, M. H., Al-Waeli, A. H., Al-Busaidi, A. H., & Chaichan, M. T. (2017). Techno-economic feasibility analysis of 1 MW photovoltaic grid connected system in Oman. Case Studies in Thermal Engineering, 10, 131-141.

Şenol, M., Abbasoğlu, S., Kükrer, O., & Babatunde, A. A. (2016). A guide in installing large-scale PV power plant for self-consumption mechanism. Solar Energy, 132, 518-537.

Al-Addous, M., Dalala, Z., Class, C. B., Alawneh, F., & Al-Taani, H. (2017). Performance analysis of off-grid PV systems in the Jordan Valley. Renewable Energy, 113, 930-941.

Kumar, B. S., & Sudhakar, K. (2015). Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy reports, 1, 184-192.

Hossain, M. S., Madlool, N. A., Rahim, N. A., Selvaraj, J., Pandey, A. K., & Khan, A. F. (2016). Role of smart grid in renewable energy: An overview. Renewable and Sustainable Energy Reviews, 60, 1168-1184.

Singh, J. P., Walsh, T. M., & Aberle, A. G. (2012). Performance investigation of bifacial PV modules in the tropics. Proc. 27th EUPVSEC, 3263-3266.

Hezel, R. (2009). A novel high-efficiency rear-contact solar cell with bifacial sensitivity. In High-efficient low-cost photovoltaics (pp. 65-93). Springer, Berlin, Heidelberg.

Abotaleb, A., & Abdallah, A. (2018). Performance of bifacial-silicon heterojunction modules under desert environment. Renewable Energy, 127, 94-101.

Yusufoglu, U. A., Lee, T. H., Pletzer, T. M., Halm, A., Koduvelikulathu, L. J., Comparotto, C., ... & Kurz, H. (2014). Simulation of energy production by bifacial modules with revision of ground reflection. Energy Procedia, 55, 389-395.

Mahmud, M. S., WazedurRahman, M., Lipu, M. H., Al Mamun, A., Annur, T., Islam, M. M., ... & Islam, M. A. (2018, July). Solar Highway in Bangladesh Using Bifacial PV. In 2018 IEEE International Conference on System, Computation, Automation, and Networking (ICSCA) (pp. 1-7). IEEE.

Nussbaumer, H., Janssen, G., Berrian, D., Wittmer, B., Klenk, M., Baumann, T., ... & Mermoud, A. (2020). Accuracy of simulated data for bifacial systems with varying tilt angles and share of diffuse radiation. Solar Energy, 197, 6-21.

Chudinzow, D., Haas, J., Díaz-Ferrán, G., Moreno-Leiva, S., & Eltrop, L. (2019). Simulating the energy yield of a bifacial photovoltaic power plant. Solar Energy, 183, 812-822.

Pisigan, C., & Jiang, F. (2014). Performance of bi-facial PV modules in urban settlements in tropical regions. In Advanced Materials Research (Vol. 853, pp. 312-316). Trans Tech Publications Ltd.

Qamar, J., Gulzar, S., & Iqbal, Z. (2020). Preliminary Condition Analysis of Samadhi Dewan Sawan Mal, Multan. Sir Syed University Research Journal of Engineering & Technology, 10(2).

Tahir, M., Rafiq, A., & Hassan, D. (2018). Designing, Planning & Implementation of IT Infrastructure & Security for A Brokerage House. Sir Syed University Research Journal of Engineering & Technology, 8(1), 6-6.

Cui, S., Wang, Y. W., Xiao, J. W., & Liu, N. (2018). A two-stage robust energy sharing management for prosumer microgrid. IEEE Transactions on Industrial Informatics, 15(5), 2741-2752.