In this article, a new multiobjective algorithm is proposed for determining the optimal sizing and allocation of the photovoltaic (PV) systems in radial distribution systems. A Jaya algorithm is modified to find the optimal PV capacities for limited bus locations at the network. The proposed algorithm showed better performance against known techniques, and the results are presented. Besides, a new distinguished methodology is improved and developed based on the Jaya Algorithm to find the optimum capacity of each PV system that satisfies an improvement of the voltage profile and reduces power losses under high penetration levels. Also, optimum capacities are determined by considering the connection of the PV systems for all buses along with the network. Furthermore, the proposed method is verified on the standard IEEE-33 bus test system with high penetration rates. Simulation and validation are obtained by MATPOWER and OCTAVE software.

This chapter focuses on the harmonics emissions and power system grid resilience in electric vehicle (EV) charging. With the increasing demand for EVs, understanding the effects of harmonics on grid stability is critical. Converters in EV charging operations can contribute to high harmonics levels, causing disturbances and stressing the power system. The scope of the chapter encompasses challenges related to harmonics and emphasizes the need to ensure grid resilience. It also highlights the importance of understanding the correlations between harmonics emissions, operational parameters, and the increasing adoption of electric vehicle charging. This chapter also aims to discuss and present various harmonic mitigation techniques that can enhance power quality in electric vehicle integration.