Optimal fault-location in smart grids with bfa and ts algorithms with the approach of reducing losses and network costs

الموضوعات :

Mahmoud Zadehbagheri ¹ , Mohammadjavad Kiani ²

1 - Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran
2 - Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran

تاريخ الإرسال : 13 الجمعة , صفر, 1444 تاريخ التأكيد : 25 الأحد , رمضان, 1444 تاريخ الإصدار : 12 الخميس , ذو القعدة, 1444

الکلمات المفتاحية: Fault Location, Optimization, dg, Micro grid, Bacterial Foraging Algorithm (BFA), Tabu Search (TS),

ملخص المقالة :

The smart grid is actually the result of the integration of the structures of the power system and its communication structures, and this is the key point in the implementation of smart grid projects. This means that the integration of electricity production and distribution reduces the costs of implementing a smart network, and in this regard, the preparation of the telecommunication platform is one of the most necessary requirements for moving in the direction of smartening the network. The ability to locate the fault and restore the power supply in time is one of the important indicators of a strong smart grid. Especially when a large number of DGs are connected to the system, the network structure and working mode will change, and the demands on the traditional fault location method will increase. In this article, due to the difficulty of using the traditional fault location method in distribution networks with DG, two smart algorithms, TS and BFA, have been used for fault location in this type of networks. So that the location of dynamic distributed generation sources such as wind turbines is done first, then their effect on providing the load profile in the presence of distribution network faults is discussed. The results of the simulation confirm the correctness and correctness of the performance of the proposed method, so that the case studies conducted can open the way for engineers to evaluate new fault.

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