Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

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Volume 17 Issue 2
2026

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Advanced Hybrid HHO–SCA Algorithm for Optimal Allocation of EV Charging Stations and Renewable Energy Sources

Author(s) Anup Kumar Mahto, Sandip Kumar
Country India
Abstract The rapid growth of electric vehicles (EVs) and renewable energy sources (RES) is transforming modern power distribution networks. However, uncoordinated integration of EV charging stations and renewable generation may lead to voltage instability, increased power losses, and degradation of power quality. This paper proposes an advanced hybrid optimization algorithm combining Harris Hawks Optimization (HHO) and the Sine Cosine Algorithm (SCA) to determine the optimal allocation and sizing of EV charging stations and renewable energy sources in distribution systems. The hybrid HHO–SCA algorithm improves global search capability and convergence speed while avoiding premature convergence. The optimization objective minimizes total power losses, voltage deviation, and operational cost while satisfying network constraints. The proposed method is tested on the IEEE 33-bus distribution system. Simulation results demonstrate significant improvements in voltage profile, reduced system losses, and enhanced system reliability compared with conventional optimization techniques.
Keywords Renewable Energy Systems (RES), Electric Vehicles (EVs), Harris Hawks Optimization (HHO), Sine Cosine Algorithm (SCA), IEEE 33-bus distribution system.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-03-16
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1752
Short DOI https://doi.org/hb27qv
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