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Multi-objective energy management of microgrids in the presence of D-FACTS devices and renewable energies using learning performance-based behavior algorithm
Mahyar Moradi1 , Mohamad Hoseini Abarde * 1, Mojtaba Vahedi1 , Nasrin Salehi2 , Azita Azarfar1
1- Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
2- Department of Basics Sciences ,Shahrood Branch, Islamic Azad University, Shahrood, Iran
Abstract:   (407 Views)
The development of microgrids is progressing due to smart loads, renewable energy sources, energy storage systems and also the presence of electric vehicles (EV). The presence of such devices in microgrids may cause inconsistency in the microgrid, which leads to increased losses and changes in the voltage of microgrid buses. In this paper, a mixed integer quadratic programming (MIQP) model is presented for microgrid energy management in the presence of smart loads, renewable energy sources, electric vehicles and energy storage systems. Also, to prevent voltage changes and reduce losses, the Distributed Flexible Alternating Transmission System (D-FACTS) device has been used. A scenario-based multi-objective function is proposed to reduce power losses and voltage deviations, reduce power outages of renewable sources, and reduce environmental pollution caused by distributed generation with fossil fuel (DG) and finally reduce the microgrid load definitively to reduce the vulnerability of the system. In this paper, an innovative evolutionary algorithm called learner performance-based behavior (LPB) algorithm is proposed. The proposed model is implemented on a 33-bus microgrid and the results show that the proposed energy management with demand side management can reduce energy loss by 9% and voltage deviation by 10%.
Keywords: Microgrid, D-FACTS, renewable energies, energy storage system, electric vehicles
Type of Study: Research |
Received: 2023/07/19 | Accepted: 2023/10/11

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نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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