Analysis and Evaluation of the Economic Model of Micro-Photovoltaic Microgrid Connected to Iran's Electricity Distribution Network

Document Type : Research Paper


1 PhD student in Industrial Management, Islamic Azad University, South Tehran Branch

2 Associate Professor, Department of Industrial Management, Islamic Azad University, South Tehran Branch

3 Assistant professor, Department of Industrial Management, Islamic Azad University, South Tehran Branch


One of the challenges in not developing the photovoltaic system icrogrid is the lack of return on investment with its costs in the shortest time.In this research, a new issue to present the economic and management model Photovoltaic system microgrid energy,Using sundials,Radiation intensity regression model And the use of bee colony algorithm. In order to minimize the installation space for maximum energy production and the income from it has been obtained for the cities of Iran.Results of return on investment for five cities of Yazd, Ardabil, Gorgan, Ahvaz and TehranIn normal andoptimal condition, it shows the speed of return on investment in Yazdand its decrease is in Gorgan.The return on investment of the planned photovoltaic system in cities depends on meteorological data, geographical location and identification of the optimal point of the objective function.also for data analysis, the planned photovoltaic system with powers of 5 and 8.6 kW in the city of Tehran has been compared, Which indicates the economic nature of the model also, the two cities of Tehran and Ahvaz are located in the same area. With the stability of the power distribution network and the reduction of the effect of blackouts in the joint operation, the energy storage of the system can be disregarded. This speeds up the return on investment and costs. Economics, system stability and electricity network are the two conditions of this model, which policymakers can, by planning and decision-making, develop this system in the country and make the country's electricity distribution network and manpower sustainable.


Main Subjects

1-  Abdelmaguid, T. F. (2015). A neighborhood search function for flexible job shop scheduling with separable sequence-dependent setup times. Applied Mathematics and Computation260, 188-203.
2-  Ahmadi, M. (2015). Preparation for the capital market principles test. Tehran, Ariana Ghalam Publications (In Persian).
3-  Amir, V., Azimian, M., & Haddadipour, Sh. (2020). Multi-network operation with energy carriers, taking into account uncertainty. Computational Intelligence in Electrical Engineering, 10(3), 69-86 (In Persian).
4-  Anand, R. S., Das, M. K., Iyer, S. K., Mishra, S. K., Sensarma, P. S., Singh, A., ... & Katiyar, M. (2009). Solar Energy Research Enclave. Department of Electrical Engineering, Indian Institute of Technology Kampur208, 016.
5-  Barzi, A. B., Hashemzadeh Khorasgani, Gh., Fathi Hafshjani, K., & Alirezaei, A. (2020). Parameters affecting the microgrid energy production of direct current photovoltaic system connected to Iran's electricity distribution network with a sustainability approach. Iranian Journal of Energy, 22(4), 45-68 (In Persian).
6-  Cai, C., Liu, H., Dai, W., Deng, Z., Zhang, J., & Deng, L. (2017). Dynamic equivalent modeling of a grid-tied microgrid based on characteristic model and measurement data. Energies10(12), 1951.
7-  DoE, U. S. (2015). Quadrennial technology review 2015. US Department of Energy, Washington, DC.
8-  Duffie, J. A., & Beckman, W. A. (2013). Solar engineering of thermal processes. John Wiley & Sons.
9-  Fina, B., Fleischhacker, A., Auer, H., & Lettner, G. (2018). Economic assessment and business models of rooftop photovoltaic systems in multiapartment buildings: case studies for Austria and Germany. Journal of Renewable Energy2018.
10- Ghaemi Rad, T., & Karimi, M. (2015). Evaluating and comparing the results of optimizing the forest fire expansion model based on cellular automation using two algorithms, PSO and ABC. Geographical Studies, 24(93), 66-75 (In Persian).
11- Ghasemian Fard, E., & Mousavi Rad, S. H. (2018). Unallocated electricity in the North Kerman Electricity Distribution Company: Analysis of system dynamics. Quarterly Journal of Energy Policy and Planning Research, 3(8), 119-145 (In Persian).
12- Gholinia, M., Safdary, M., & Hasanpour, S. A. (2018). Novel Method for Short-term Micro-Grid Planning .Journal of Iranian Association of Electrical and Electronics Engineers.15(1), 25-33  (In Persian)
13- Hatefi Einaddin, A., Sadeghi Yazdankhah, A., & Kazemzadeh, R. (2017). Power management in a utility connected micro-grid with multiple renewable energy sources. Journal of Operation and Automation in Power Engineering5(1), 1-10.
14- Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews69, 596-609.
15- Kuzlu, M., Pipattanasomporn, M., & Rahman, S. (2012). Hardware demonstration of a home energy management system for demand response applications. IEEE Transactions on Smart grid3(4), 1704-1711.
16- Lee, A. H., Kang, H. Y., & Liou, Y. J. (2017). A hybrid multiple-criteria decision-making approach for photovoltaic solar plant location selection. Sustainability9(2), 184.
17- Molaei, M. A., Dehghani, A., & Hosseinzadeh, S. (2015). Relationship between energy consumption and production growth in Iranian transport companies (Granger, Toda and Yamamoto causality approach and dynamic panel data). Quarterly Journal of Economic Growth and Development, 5(25), 19-40  (In Persian).
18- Momeni, M., & Nazari, H., & Kazemi, A. (2016). Select the appropriate scenario to predict the energy demand of the household-commercial sector using the particle mass optimization algorithm. Quantitative Economics Quarterly, 10(3), 1-19  (In Persian).
19- Ntanos, S., Skordoulis, M., Kyriakopoulos, G., Arabatzis, G., Chalikias, M., Galatsidas, S., ... & Katsarou, A. (2018). Renewable energy and economic growth: Evidence from European countries. Sustainability10(8), 2626.
20- Olowu, T. O., Sundararajan, A., Moghaddami, M., & Sarwat, A. I. (2018). Future challenges and mitigation methods for high photovoltaic penetration: A survey. Energies11(7), 1782.
21- Orchi, T. F., Mahmud, M. A., & Oo, A. M. T. (2018). Generalized dynamical modeling of multiple photovoltaic units in a grid-connected system for analyzing dynamic interactions. Energies11(2), 296.
22- Pedrasa, M. A. A., Spooner, T. D., & MacGill, I. F. (2010). Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Transactions on Smart Grid1(2), 134-143.
23- Sadeghi, H., Azar, A., & Khaksar Astaneh, S. (2016). Optimizing the supply of energy resources with the aim of generating electricity, Iran's perspective on the horizon of 1404. Economic Research (Sustainable Growth and Development), 15 (3), 91-118 (In Persian).
24- Setareh, M., & Ghasemi, H. (2015). Power Management in an Isolated Balanced Microgrid Considering Small Signal Stability and Dynamic Response. Journal of Iranian Association of Electrical and Electronics Engineers, 12(1), 1-12 (In Persian).
25- Tang, C. F., Tan, B. W., & Ozturk, I. (2016). Energy consumption and economic growth in Vietnam. Renewable and Sustainable Energy Reviews54, 1506-1514.
26- Torres-Moreno, J. L., Gimenez-Fernandez, A., Perez-Garcia, M., & Rodriguez, F. (2018). Energy management strategy for micro-grids with PV-battery systems and electric vehicles. Energies11(3), 522.
27- Van Der Stelt, S., AlSkaif, T., & van Sark, W. (2018). Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances. Applied Energy209, 266-276.
28- Wright, D. J., Badruddin, S., & Robertson-Gillis, C. (2018). Micro-tracked CPV can Be cost competitive with PV in behind-the-meter applications with demand charges. Frontiers in Energy Research6, 97.
29- Yeshalem, M. T., & Khan, B. (2017). Design of an off-grid hybrid PV/wind power system for remote mobile base station: A case study. Aims Energy5(1), 96-112.
30- Zsiborács, H., Hegedűsné Baranyai, N., Csányi, S., Vincze, A., & Pintér, G. (2019). Economic analysis of grid-connected PV system regulations: A hungarian case study. Electronics8(2), 149.
31- Zinaman, Owen, Mackay Miller, Ali Adil, Douglas Arent, Jaquelin Cochran, Ravi Vora, Sonia Aggarwal et al. Power systems of the future: a 21st century power partnership thought leadership report. No. NREL/TP-6A20-62611. National Renewable Energy Lab.(NREL), Golden, CO (United States), 2015.