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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE)
Singgih Dwi Prasetyo
State University of Malang
Control & Systems Engineering Electrical & Electronics Engineering

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Integration of renewable energy for sustainable electric vehicle charging in Sidoarjo, Indonesia: a techno-economic perspective Mochamad Choifin; Yuki Trisnoaji; Zainal Arifin; Mochamad Subchan Mauludin; Marsya Aulia Rizkita; Singgih Dwi Prasetyo; Dony Perdana
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i1.pp23-36

Abstract

This study explores the techno-economic feasibility of integrating solar photovoltaic (PV) systems for electric vehicle (EV) charging infrastructure in Sidoarjo, Indonesia. Through simulation using HOMER Pro software, both standalone PV and PV-grid hybrid configurations were evaluated under real-world EV load profiles. The analysis reveals that the PV-grid hybrid system demonstrates superior economic performance, achieving an annual energy production of 39,214 kWh, a levelized cost of energy (LCOE) of $0.3975/kWh, and a return on investment (ROI) of 62.01% over 20 years, despite a payback period exceeding 30 years. Sensitivity analysis confirms that the system remains moderately resilient under a 10% reduction in solar irradiance or a 20% increase in EV demand. The study also compares the standalone PV configuration, which, while suitable for off-grid applications, results in significant energy underutilization. Moreover, the PV-grid model supports surplus electricity sales, enhancing financial viability. These findings provide actionable insights for stakeholders, energy planners, and policymakers aiming to scale EV charging infrastructure sustainably in Indonesia’s urban environments.
Edge-AI robotic swarms for predictive maintenance in utility-scale solar farms: a systematic review and meta-analysis Luqman Assafat; Mochamad Subchan Mauludin; Singgih Dwi Prasetyo; Yuki Trisnoaji
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp1831-1841

Abstract

The rapid expansion of utility-scale solar photovoltaic infrastructure poses critical operational challenges for maintaining reliability across large, dispersed networks. Conventional manual inspection and reactive maintenance approaches are increasingly ineffective, leading to reduced energy yield, increased downtime, and higher operational costs. This study presents a systematic review and meta-analysis evaluating the performance of autonomous robotic swarm technologies for predictive maintenance in solar farms, following PRISMA 2020 and Cochrane methodologies. A total of 20 eligible studies were analyzed using random-effects modeling, forest plot interpretation, subgroup evaluation, publication bias assessment, and sensitivity analysis. Results indicate a significant pooled effect size (Hedges g = 7.80) with substantial improvements in detection accuracy, efficiency, and cost reduction, supported by low publication bias and strong robustness. The discussion emphasizes the theoretical and practical implications of decentralized multi-agent coordination, while highlighting the limitations of heterogeneous methodologies and limited real-world validation. The study concludes that swarm robotics offers transformative potential for scalable, intelligent maintenance ecosystems and recommends future research that includes large-scale field deployments and standardized evaluation frameworks.
Co-Authors Dony Perdana Luqman Assafat Marsya Aulia Rizkita Mauludin, Mochamad Subchan Mochamad Choifin Yuki Trisnoaji Zainal Arifin