الفهرس 
Introduction and Review of LiteratureOnly 14 pages are availabe for public view
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Abstract
Microgrids are now gaining more interest as one of the most promising methods to increase the efficiency and dependability of electrical power networks. Batteries are frequently utilized for a wide range of tasks in generating, transmitting, and distributing electrical power, such as peak response management and enhancing power quality and power flow distribution. Energy management systems (EMSs) are crucial for the successful implementation and optimization of battery energy storage system (BESS) performance in microgrids by controlling and managing the charging and discharging of the battery. During the energy management process, the BESS experiences state of charge (SoC) divergence during charging and discharging operations, which could further impair the overall performance of the battery system. Consensus control in BESS is crucial for ensuring optimal battery performance, extending battery life, and preventing safety hazards. Several studies investigated using consensus control in BESS to balance the SoC by adjusting power to the average value. However, achieving a load curve or target power curve and energy management between other distributed generators (DGs) while SoC balancing hasn’t been studied before. In this thesis, a consensus tracking control method is proposed for the energy management and SoC balancing of BESS in AC microgrids. The suggested controller avoids deep discharge or overcharging of batteries by switching them off at their SoC limitations while compensating for this switching by increasing the target power to keep the load stable. The control parameters of the consensus tracking equation specify the tracking error, consensus tracking time, and overshoot of battery power. A detailed study of the weighting matrices of the proposed controller is presented, and their suitable range is identified. Simulations of a state space model and a detailed dynamic model are constructed in Matlab. Also, the effect of different target power curves on the consensus tracking power and SoC balancing is introduced. The results show that the proposed method achieves SoC balancing for batteries of equal and different capacities while tracking the target power. The stability and robustness of the proposed consensus control approach are analytically validated. Also, the scalability of the proposed method is studied on the seven-battery system based on the IEEE 57 bus.