OICC Press Majlesi Journal of Electrical Engineering 2345-3796 20 2 (June 2026) 2026 06 30 Implementation a 10 MW Grid-Connected Solar Photovoltaic System in India 10.57647/j.mjee.2025.17696 EN Sandeep K Singh Department of Electrical Engineering, National Institute of Technology Patna, India https://orcid.org/0000-0002-2669-6718 Rajib K Mandal Department of Electrical Engineering, National Institute of Technology Patna, India Prabhat R Sarkar Department of Electrical Engineering, National Institute of Technology Patna, India Faizan A Khan Department of Electrical Engineering, JETGI, Barabanki, India; Department of Electrical Engineering, Graphic Era Deemed University, Dehradun, India Journal Article 2026 06 30 This study presents the design, optimization and performance analysis of a 10 MWp grid-connected solar photovoltaic (PV) systemin North India. A sequential approach is applied for SPV system design using PVSyst software, following by execution and feasibility assessment. Two PV technologies Hanwa (13.41 MWp) and Waaree (1.505 MWp) modules are modelled using PVSyst meteorological data to ensure accurate performance estimation. The optimized system comprises 47,140 modules arranged in strings of 20 modules, achieving a nominal capacity of 14.92 MWp and occupying 75 acres with a total module area of 92,144 m². Total annual energy production is 22,651.4 MWh. The performance ratio (PR) ranges from 72.6% to 75.7%, the Capacity Utilization Factor (CUF) varies between 14.4% and 20.3%. System and array capture losses are 0.46 kWh/kWp and 1.44 kWh/kWp respectively. The key performance indicators like Gross Monthly Energy Yield (1,887.62 MWh/month), Daily Energy Yield (62.06 MWh/day), Array Yield (1,518 kWh/kWp/year), and Final Yield (1,518 kWh/kWp/year) are analyzed. The novelty of this study lies in its experimental validation using a dual-string setup monitored through real-time SCADA data, which effectively quantified soiling impacts showing an average daily degradation of 0.7% in uncleaned modules and confirmed the accuracy of simulation results.