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Published on: October 3, 2018
A Decentralized Wireless Solution to Monitor and Diagnose PV Solar Module Performance Based on Symmetrized-Shifted
Angel Molina-García1, José Carlos Campelo2, Sara Blanc3
1Department of Electrical Engineering, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain. angel.molina@upct.es.
This study presents a low-cost wireless sensor system for real-time monitoring and diagnosis of photovoltaic (PV) solar modules. The integrated solution enhances PV performance analysis and is easily deployable in existing solar power plants.
Area of Science:
- Renewable Energy Systems
- Electrical Engineering
- Sensor Networks
Background:
- Photovoltaic (PV) solar module performance monitoring is crucial for efficient energy generation.
- Existing methods often involve costly equipment and offline data processing.
- There is a need for integrated, real-time, and cost-effective PV monitoring solutions.
Purpose of the Study:
- To propose and assess an integrated solution for real-time monitoring and diagnosis of PV solar modules.
- To develop a system utilizing decentralized wireless sensor acquisition for comprehensive data collection.
- To enable immediate performance comparison against a validated PV module model.
Main Methods:
- Deployment of low-cost, energy-efficient wireless sensor nodes for collecting DC electrical and environmental data at the PV module level.
- Real-time local data processing and comparison with expected performances derived from a symmetrized-shifted Gompertz function PV module model.
- Utilizing a multi-hop wireless sensor network architecture for data transmission to a centralized sink-computing module.
Main Results:
- The integrated system provides extensive analysis of PV installations without the need for off-line tests or post-processing.
- The solution is cost-effective, has non-critical performance constraints, and is suitable for large-scale PV power plant deployment.
- Successful implementation and assessment in a grid-connected Spanish PV power plant, demonstrating accurate PV module performance estimations.
Conclusions:
- The proposed decentralized wireless sensor system offers an efficient and economical approach to PV module monitoring and diagnosis.
- The system's ability to perform real-time, integrated analysis simplifies performance assessment and fault detection in PV installations.
- The solution is easily implemented in existing PV infrastructure due to its wireless nature and lack of additional wiring requirements.
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