Optimization of Multi-microgrid System Operation Cost with Different Energy Management Tools in the Presence of Energy Storage System

Abstract—

Given the increasing capacity of distributed generation and renewable resources, how to use this capacity and proper energy management will be a major challenge for low-capacity networks such as microgrids. With the help of peripherals tools, an arrangement can be made to achieve a more desirable result in the energy management system (EMS). Storage resources and at a higher level, the storage module is used as one of these tools in the subsystems of the EMS. In this article, in addition to taking advantage of the connection of several microgrids to each other and reducing interactions with the main network, by using the storage module and other related tools, the cost of providing energy to a cluster of microgrids is reduced to the lowest possible value. By implementing a mathematical model based on mixed-integer linear programming, the best program for generation resources obtains in such a way that the cost of energy supply reduces to the minimum value. The study results have been analyzed in two case studies; a modified laboratory microgrid and the IEEE 33-bus distribution network. Although different solvers in Gams will provide almost similar answers, the optimal answer was found by the Cplex solver.

Keywords:

• optimization of operation cost
• energy storage system
• energy storage module
• microgrid system
• mixed integer linear programming
• energy management tools

Additional information

Notes on contributors

Hamed Babanezhaad Shirdar

Hamed Babanezhaad Shirdar received the Ph.D. and M.Sc. degrees from the Department of Electrical Engineering at the Sari Branch, Islamic Azad University (IAU) in 2022 and 2013, respectively. He received the B.Sc. degree (Control & instrumentation) from the Allameh mohades university, Noor, Iran, in 2009. His research interests are microgrid planning, Virtual Power Plants (VPP), energy management systems, smart grids, distributed generation (DG) management and application of optimization tools in the modern power systems.

Alireza Ghafouri

Alireza Ghafouri received the B.Sc. degree from K.N. Toosi University of Technology, Tehran, Iran, in 2004; the M.Sc. degree from Sharif University of Technology, Tehran, in 2006; and the Ph.D. degree from Amirkabir University of Technology (AUT), Tehran, in 2015, all in electrical engineering. He is currently an Assistant Professor in the Department of Electrical Engineering at Sari Branch, Islamic Azad University. His current research interests include smart grids, distributed generation (DGs), energy management, flexible alternating-current transmission systems, and power system stability and control.