Peak load shaving in isolated microgrid by using hybrid PV-BESS system

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Abstract

Photovoltaic (PV) and Battery Energy Storage System (BESS) are becoming more popular in global energy landscape. Some excellent characteristics such as versatility, expansion performance, fleet response time and modularity, make BESS more effective device.By considering Isolated Microgrid (IMG) system, PV-BESS hybrid system can be used for peak load shaving application. Here, chargedischarge operation of BESS and optimal usage of PV is the most important requirement. Previously few techniques have been proposed for shaving the peak load and they controlled the charge-discharge operation of battery. However, the techniques contain some limitations. It cannot ensure the optimal usage of PV and the charge-discharge controlling techniques are not well fitted for IMG system. In this work, we have proposed a Modified Decision Tree Algorithm to achieve peak load shaving service. The proposed algorithm can control the charge-discharge operation of BESS and ensure the optimal usage of PV generation unit. The proposed method has been applied on the load profile of UniversitiTeknologi PETRONAS (UTP). The results demonstrate that, the proposed algorithm can minimize the demand of UTP. A comparative analysis has been done between the proposed algorithm and the latest peak shaving decision tree algorithm. The comparative analysis reflects that the proposed algorithm can ensure the optimal usage of PV unit and can minimize the demand by few hours more than the latest algorithm. The proposed algorithm has also considered the optimal generation dispatch which can save more energy, reduce fuel consumption, and carbon emission. This method is more environment friendly and economically benefited.

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Rana, M. M., Romlie, M. F., & Abdullah, M. F. (2020). Peak load shaving in isolated microgrid by using hybrid PV-BESS system. International Journal of Emerging Trends in Engineering Research, 8(1 Special Issue  1), 1–14. https://doi.org/10.30534/ijeter/2020/0281.12020

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