IMPLEMENTATION OF MOVING AVERAGE BASED POWER MANAGEMENT FOR SMOOTHING HYBRID SOLAR PV- BATTERY SYSTEMS IN TAMBORA GRID SYSTEM, SUMBAWA, INDONESIA
The hybrid Solar PV-Battery system faces a significant challenge in managing high power fluctuations due to the variable nature of solar energy. This study aims to analyze the implementation of Simple Moving Average (SMA) and Exponential Moving Average (EMA) methods in power management to enhance...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87034 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The hybrid Solar PV-Battery system faces a significant challenge in managing high
power fluctuations due to the variable nature of solar energy. This study aims to
analyze the implementation of Simple Moving Average (SMA) and Exponential
Moving Average (EMA) methods in power management to enhance the stability of
the hybrid Solar PV-Battery system in the Tambora grid, Sumbawa, Indonesia.
Simulation results indicate that both methods effectively reduce power fluctuations,
stabilize system frequency, and optimize battery usage through improved State of
Charge (SoC) management. SMA produces more stable power with slower
responsiveness, making it suitable for long-term stability-focused applications.
Conversely, EMA offers greater flexibility by giving higher weight to recent data,
enabling faster response to power changes. The adjustable ? parameter in EMA
allows adaptive control, making it superior for systems with high power variability.
This study concludes that the choice of method depends on grid requirements: SMA
for stability and EMA for dynamic response. Recommendations include the
development of adaptive algorithms combining the strengths of SMA and EMA to
further enhance the efficiency and reliability of hybrid Solar PV-Battery systems. |
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