Optimizing the distributed generators integration in electrical distribution networks: efficient modified forensic-based investigation

As a result of various loads, including critical installations (industries, nuclear facilities, etc.), electrical distribution networks (EDNs) must operate safely and sustainably in order to overcome problems such as high power losses and voltage drops, which must be addressed with the most efficient location and capacity of distributed generators (DGs). In order to address this purpose, the proposed research introduces a robust modified forensic-based investigation (mFBI) optimization method that is demonstrated first time to produce the optimum allocation of DGs in EDNs for minimizing power losses and voltage deviations. Moreover, the analytical hierarchy process approach is employed to generate the most applicable weighting factors of the multi-objective function (MOF). Validation and demonstration of the newly developed mFBI technique is conducted by studying the impact of DG integration on 118 IEEE EDN nodes and real Delta-Egypt EDNs. Additionally, an in-depth comprehensive analysis has been carried out between the novel mFBI and 7 recent proposed optimizers, considering the Wilcoxon sign rank test that is used to verify the significant nature of the results. The numeric results best demonstrate the advantage and utility of incorporating the MOF approach and the superior mFBI technique in the EDN to derive an efficient optimum solution.

Automated summary

This study introduces an optimization method to minimize power losses and voltage deviations in electrical distribution networks (EDNs), and validates its effectiveness through validation and demonstration. A comprehensive analysis comparing the method with other optimizers is also conducted, demonstrating its superiority.