Distribution systems techno-economic performance optimization through renewable energy resources integration

Abstract

This article presents three new multi-objective optimization methodologies as a solution for enhancing the traditional EDN techno-economic performance through integrating Distributed Generation (DG) of different categories. A combination of four types of DG resources is presented for identifying the optimal mix sizing and positioning through applying the Whale Optimization Algorithm, Sine Cosine Algorithm and Multi-Verse Optimization Algorithm. The proposed approaches are constructed and subjected to a multi-objective function to minimize the active power losses, improve the voltage Stability and decrease overall additional costs. While taking into consideration the allowable margin of DG units’ penetration level and their operating power factor in addition to the systems’ voltage profile boundaries. The methodologies have been applied to two IEEE benchmark test systems (33-bus and 118-bus) besides a realistic part of the distribution grid of the Egyptian distribution network which is added as a practical case study. However, the proposed base cases have failed in keeping the voltage magnitudes boundaries at all busbars especially the realistic case, but the proposed algorithms have attained almost the same significant results regarding both of voltage stability and power loss for the medium-sized network IEEE 33-bus system. Furthermore, for both of the two large scale systems (IEEE 118-bus system and the realistic network), the MVO has proved its superiority compared to the proposed algorithms in addressing the optimization problem with higher results’ accuracy. Meanwhile, the MVO has reached the optimal solutions for all cases in less time and iterations number.

Keywords

• Distributed generation
• Optimization algorithm
• Voltage stability index
• Distribution network
• Distribution networks