Assessment Integration of Wind-based DG and DSTATCOM in Egyptian Distribution Grid Considering Load Demand Uncertainty

This paper shows the influences of integrating optimal installation wind-based distributed generators (DG) and distributed static compensator (DSTATCOMs) in real Egyptian distribution network case study (Tala City). The investigation is performed in presence of DG with and without including DSTATCOMs in terms of power loss minimization. The optimal ratings and locations of the DSTATCOMs and the wind-based DG are determined using the enhanced grey wolf optimizer (EGWO). The EGWO is based on Levy flight distribution with adaptive operators to improve the searching capability of the original GWO. The load demand changes continuously and it is considered as a source of uncertainty in the power system. Consequently, assessment performance of the system with uncertainties of the load is an important issue for power system planning and operation. In this paper, the investigation is carried out with and without considering the uncertainties of load demand. The obtained results prove the effectiveness of the proposed optimization technique to solve the optimal allocation of DG and DSTATCOM problem.

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