Presenting a Multi-Objective Stochastic Integrated Energy Management Model in Electrical and Thermal Microgrids by Locating CHP and Battery Sources, Thermal Storage and Demand Side Management

Subject Areas : Electrical and Computer Engineering

Elmira Akhavan Maroofi ¹ , Mahmoud Samiei Moghaddam ² , Azita Azarfar ³ , Reza Davarzani ⁴ , Mojtaba Vahedi ⁵

1 - Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
2 - Department of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran
3 - Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
4 - Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
5 - Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran

Received: 2023-10-31 Accepted : 2024-02-25 Published : 2024-09-20

Keywords: Microgrid, Battery, Demand side management, Renewable energy sources,

Abstract :

In this paper, an optimization model based on stochastic quadratic mixed integer programming to provide an integrated energy management of electricity and heat in electrical and thermal microgrids, taking into account the uncertainty of renewable energy sources, location of electricity generation sources and combined heat and power (CHP) along with energy and thermal storage systems and demand side management are provided in island operation and connected to the grid. A multi-objective function including minimization of energy loss, voltage deviation, cost of resource utilization, as well as reduction of renewable energy sources and reduction of installation cost is considered. The IEEE 69 bus distribution network was selected for analysis and coding was done in MATLAB software and CVX optimization package. The proposed model is also solved by the most powerful existing solver called Gurobi. The obtained results show the performance and accuracy of the proposed model.

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