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Enhancing Energy Generation Through Floating PV Integration with Existing Hydropower Station Hnin Yu Wai; Wunna Swe; Swe Zin Oo
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4722

Abstract

In this paper, the design and performance of an integrated floating photovoltaic (PV) system at the Kun Chaung Hydropower Station in Myanmar are analyzed. Hybridizing grid-connected hydropower with floating PV enhances renewable energy output. A site assessment evaluates the reservoir’s suitability, considering solar irradiance, water levels, and environmental impacts. The proposed design includes PV module specifications, floating structures, and system integration. Energy output is analyzed under various conditions. Results show that the minimum hydropower generation in April, 24343 MWh, increases to 33865 MWh with floating PV, while maximum generation in November rises from 40878.2 MWh to 47768.6. Integration improves system capacity, ranging from 56.74 MW in May to 117.68 MW in October. These findings confirm the potential of floating PV to enhance energy generation. The study concludes with recommendations for implementation and highlights future research opportunities to optimize performance and assess economic feasibility.
Optimization of Charging and Discharging Performance in a PV-Integrated Piston-Based Gravity Energy Storage System Khin Mar Myint; Wunna Swe
The Indonesian Journal of Computer Science Vol. 15 No. 3 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i3.5101

Abstract

The rapid integration of photovoltaic systems into modern power networks has created operational challenges due to their intermittent and fluctuating output. To maintain power balance and enhance grid stability, large-scale and efficient energy storage solutions are essential. This paper presents the dynamic modeling and simulation of a piston-based gravity energy storage system integrated with PV power plant. A detailed MATLAB/Simulink model is developed, including the PV array, power electronic converters, motor–pump system, piston-based gravitational storage mechanism, and generator–load interface. During periods of surplus PV generation, the system operates in charging mode by driving the motor–pump unit to lift the piston, thereby storing energy as gravitational potential. During low PV output, the stored energy is released through the turbine–generator unit to support the load. Simulation results verify stable electrical performance, smooth transition between operating modes, and effective mitigation of PV power fluctuations, demonstrating the technical feasibility of the proposed PGES configuration.