Document Type : Original Article


1 Department of Electrical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.

2 Department of Mechanical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.

3 Department of Industrial Engineering, Meybod University, Meybod, Iran.


This paper proposes an integrated energy management system for grid-connected microgrids, taking into account the demand response programs, fossil fuel-based generators, renewable energy sources and energy storage systems. In the proposed approach, the constraints of the problem are considered jointly in the model of the energy management systems and are used for microgrid energy management planning and economic dispatch. One of the innovations of this paper is to use the Internet of Things (IoT) platform to adjust the maximum ramp rate of production units in microgrid due to the limitations of production capacity. Since the system considered, models the general state of the internet communication of objects without the need to access the communication channel, so that the energy of consumers should be minimized as second objective this platform, whenever one of the objects has a message to send, it sends it without the need to reserve a resource and schedule. The IoT can establish a good relationship between power producers in a way that reduces operating costs by exchanging data. Optimization of energy consumption in the hybrid power grid studied in this paper shows that the use of IoT platform can reduce the transmission line losses in addition to operating costs. The output results of using data in the IoT context and comparing it with the traditional mode represent the superiority of the proposed approach.


Main Subjects

[1] R. Alayi and J. Javad Velayti, “Modeling/optimization and effect of environmental variables on energy production based on PV/wind TURBINE hybrid system,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, Vol. 7, No. 1, p. 101, 2021.
[2] H. Khalili, A. Arash, and R. Alayi, “Simulation and economical optimization hybrid system PV and grid in Ardabil city” Journal of Current Research in Science, Vol. 3, No. 5, pp. 74-83, 2015.
[3] R. Alayi, M. R. Basir Khan, and M. S. Mohmammadi, “Feasibility study Of GRID-CONNECTED PV system for peak demand reduction of a residential building in Tehran, Iran,” Mathematical Modelling of Engineering Problems, Vol. 7, No. 4, pp. 563–567, 2020.
[4] R. Alayi and H. Rouhi, “Techno-Economic analysis of electrical energy generation from Urban waste IN HAMADAN, IRAN,” International Journal of Design and Nature and Eco-dynamics, Vol. 15, No. 3, pp. 337–341, 2020.
[5] A. Kasaeian, A. Shamel, and R. Alayi, “Simulation and economic optimization of wind turbines and photovoltaic hybrid system with storage battery and hydrogen tank (case study the city of Yazd)” Journal of current research in science, Vol. 3, No. 5, pp. 96-105, 2021.
[6] R. Alayi and F. Jahanbin, “Generation management analysis of a stand-alone photovoltaic system with battery” Renewable Energy Research and Application, Vol. 1, No. 2, pp. 205-209, 2020.
[7] A. Khodaei, "Micro-grid Optimal Scheduling with Multi-period Islanding Constraints," in IEEE Transactions on Power Systems, Vol. 29, No. 3, pp. 1383-1392, 2014.
[8] A. Khodaei, "Resiliency-Oriented Micro-grid Optimal Scheduling," in IEEE Transactions on Smart Grid, Vol. 5, No. 4, pp. 1584-1591, 2014.
[9] T. Ku, W. Park, and H. Choi, "IoT energy management platform for micro-grid," 2017 IEEE 7th International Conference on Power and Energy Systems (ICPES), pp. 106-110, 2017.
[10] B. Zhao, Y. Shi, X. Dong, W. Luan and J. Bornemann, "Short-Term Operation Scheduling in Renewable-Powered Micro-grids: A Duality-Based Approach," in IEEE Transactions on Sustainable Energy, Vol. 5, No. 1, pp. 209-217, 2014.
[11] A. Fathy, K. Kaaniche, and T. M. Alanazi, "Recent Approach Based Social Spider Optimizer for Optimal Sizing of Hybrid PV/Wind/Battery/Diesel Integrated Micro-grid in Aljouf Region," in IEEE Access, Vol. 8, pp. 57630-57645, 2020.
[12] F. Delfino, G. Ferro, M. Robba, and M. Rossi, "An Energy Management Platform for the Optimal Control of Active and Reactive Powers in Sustainable Micro-grids," in IEEE Transactions on Industry Applications, Vol. 55, No. 6, pp. 7146-7156, 2019.
[13] S. Marzal, R. González-Medina, R. Salas-Puente, G. Garcerá, and E. Figueres, "An Embedded Internet of Energy Communication Platform for the Future Smart Micro-grids Management," in IEEE Internet of Things Journal, Vol. 6, No. 4, pp. 7241-7252, Aug. 2019.
[14] R. M. González, F. D. Wattjes, M. Gibescu, W. Vermeiden, J. G. Slootweg, and W. L. Kling, "Applied Internet of Things Architecture to Unlock the Value of Smart Micro-grids," in IEEE Internet of Things Journal, Vol. 5, No. 6, pp. 5326-5336, 2018.
[15] J. Li et al., "Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Micro-grids Approach," in IEEE Transactions on Computational Social Systems, Vol. 6, No. 6, pp. 1395-1406, 2019.
[16] M. H. Cintuglu and D. Ishchenko, "Secure Distributed State Estimation for Networked Micro-grids," in IEEE Internet of Things Journal, Vol. 6, No. 5, pp. 8046-8055, 2019.
[17] E. Harmon, U. Ozgur, M. H. Cintuglu, R. de Azevedo, K. Akkaya, and O. A. Mohammed, "The Internet of Micro-grids: A Cloud-Based Framework for Wide Area Networked Micro-grids," in IEEE Transactions on Industrial Informatics, Vol. 14, No. 3, pp. 1262-1274, 2018.
[18] N. Rezaei, A. Ahmadi, A. H. Khazali, and J. M. Guerrero, "Energy and Frequency Hierarchical Management System Using Information Gap Decision Theory for Islanded Micro-grids," in IEEE Transactions on Industrial Electronics, Vol. 65, No. 10, pp. 7921-7932, Oct. 2018
[19] B. Zhou et al., "Optimal Scheduling of Biogas–Solar–Wind Renewable Portfolio for Multicarrier Energy Supplies," in IEEE Transactions on Power Systems, Vol. 33, No. 6, pp. 6229-6239, 2018
[20] J. Martinez-Rico, E. Zulueta, I. R. de Argandoña, U. Fernandez-Gamiz, and M. Armendia, "Multi-objective Optimization of Production Scheduling using Particle Swarm Optimization Algorithm for Hybrid Renewable Power Plants with Battery Energy Storage System," in Journal of Modern Power Systems and Clean Energy, Vol. 9, No. 2, pp. 285-294, 2021
[21] M. Barros and M. Casquilho, "Linear Programming with CPLEX: An Illustrative Application Over the Internet CPLEX in Fortran 90," 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1-6, 2019.
[22] S. H. Dolatabadi, M. Ghorbanian, P. Siano, and N. D. Hatziargyriou, "An Enhanced IEEE 33 Bus Benchmark Test System for Distribution System Studies," in IEEE Transactions on Power Systems, Vol. 36, No. 3, pp. 2565-2572, 2021.
[23] I. Atzeni, L. G. Ordóñez, G. Scutari, D. P. Palomar, and J. R. Fonollosa, "Demand-Side Management via Distributed Energy Generation and Storage Optimization," in IEEE Transactions on Smart Grid, Vol. 4, No. 2, pp. 866-876, June 2013.
[24] M. Ross, C. Abbey, F. Bouffard, and G. Jos, "Multi-objective Optimization Dispatch for Micro-grids with a High Penetration of Renewable Generation," in IEEE Transactions on Sustainable Energy, Vol. 6, No. 4, pp. 1306-1314, 2015.