Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework
The growing integration of photovoltaic (PV) systems in modern energy infrastruc-tures calls for advanced and application-specific monitoring tools. This article intro-duces a comprehensive method for operational monitoring of PV installations using Supervisory Control and Data Acquisition (SCADA) s...
| Authors: | ; ; ; |
|---|---|
| Format: | Article |
| Status: | Published version |
| Publication date: | 2025 |
| Country: | España |
| Institution: | Universidad de Jaén |
| Repository: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/6403 |
| Online Access: | https://doi.org/10.3390/app152312656 https://www.mdpi.com/2076-3417/15/23/12656 https://hdl.handle.net/10953/6403 |
| Access Level: | Open access |
| Keyword: | SCADA Photovoltaic Monitoring Energy Management Self-Consumption Performance Indicators Energy&Fuel |
| _version_ | 1878740974217199616 |
|---|---|
| author | Snytko , Anastasiia |
| author2 | Jiménez-Castillo, Gabino Muñoz Rodríguez , Francisco José Catalina Rus Casas , Catalina |
| author2_role | author author author |
| author_browse | Catalina Rus Casas , Catalina Jiménez-Castillo, Gabino Muñoz Rodríguez , Francisco José Snytko , Anastasiia |
| author_facet | Snytko , Anastasiia Jiménez-Castillo, Gabino Muñoz Rodríguez , Francisco José Catalina Rus Casas , Catalina |
| author_role | author |
| collection | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| description | The growing integration of photovoltaic (PV) systems in modern energy infrastruc-tures calls for advanced and application-specific monitoring tools. This article intro-duces a comprehensive method for operational monitoring of PV installations using Supervisory Control and Data Acquisition (SCADA) systems. It presents both stand-ard and innovative performance indicators designed to improve energy management in self-consumption and grid-connected configurations. To address limitations in cur-rent standards such as IEC 61724-1, a new set of parameters is proposed. These include the self-consumption ratio (SCR), self-sufficiency ratio (SSR), and dedicated perfor-mance ratios for self-consumption (PR_SC) and grid export (PR_TG). Together, these metrics provide a clearer understanding of system efficiency and energy flow. The ar-ticle explores the use of WinCC Unified, a modern SCADA platform developed by Siemens, to implement these indicators. WinCC Unified offers advanced tools for re-al-time visualization, cloud and edge connectivity, historical data management, and user-friendly interface design. Its open architecture supports the integration of custom KPIs and analytics, enabling the creation of dynamic and informative dashboards. By leveraging digital tools like WinCC Unified, the proposed approach contributes to the development of intelligent, standardized monitoring solutions for PV systems, aligned with the evolving demands of smart grids and distributed generation. SCADA dash-board, designed in this work, offers more than just an attractive interface – it delivers real operational value. It brings together 21 key performance indicators along with the current date and time in a single, streamlined display, updated every 0.1 seconds for near-instant data visibility, which allows operators to instantly assess overall system health at a glance. This intuitive layout not only simplifies daily monitoring but also speeds up anomaly detection and response times, supporting quicker interventions and improving overall system reliability through complete real-time awareness. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_dcc49c19a2e2dccf0ed3ae18ca9b826c |
| institution | Universidad de Jaén |
| instname_str | Universidad de Jaén |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:ruja.ujaen.es:10953/6403 |
| publishDate | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI |
| publisherStr | MDPI |
| reponame_str | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| spelling | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework Snytko , Anastasiia Jiménez-Castillo, Gabino Muñoz Rodríguez , Francisco José Catalina Rus Casas , Catalina SCADA Photovoltaic Monitoring Energy Management Self-Consumption Performance Indicators Energy&Fuel The growing integration of photovoltaic (PV) systems in modern energy infrastruc-tures calls for advanced and application-specific monitoring tools. This article intro-duces a comprehensive method for operational monitoring of PV installations using Supervisory Control and Data Acquisition (SCADA) systems. It presents both stand-ard and innovative performance indicators designed to improve energy management in self-consumption and grid-connected configurations. To address limitations in cur-rent standards such as IEC 61724-1, a new set of parameters is proposed. These include the self-consumption ratio (SCR), self-sufficiency ratio (SSR), and dedicated perfor-mance ratios for self-consumption (PR_SC) and grid export (PR_TG). Together, these metrics provide a clearer understanding of system efficiency and energy flow. The ar-ticle explores the use of WinCC Unified, a modern SCADA platform developed by Siemens, to implement these indicators. WinCC Unified offers advanced tools for re-al-time visualization, cloud and edge connectivity, historical data management, and user-friendly interface design. Its open architecture supports the integration of custom KPIs and analytics, enabling the creation of dynamic and informative dashboards. By leveraging digital tools like WinCC Unified, the proposed approach contributes to the development of intelligent, standardized monitoring solutions for PV systems, aligned with the evolving demands of smart grids and distributed generation. SCADA dash-board, designed in this work, offers more than just an attractive interface – it delivers real operational value. It brings together 21 key performance indicators along with the current date and time in a single, streamlined display, updated every 0.1 seconds for near-instant data visibility, which allows operators to instantly assess overall system health at a glance. This intuitive layout not only simplifies daily monitoring but also speeds up anomaly detection and response times, supporting quicker interventions and improving overall system reliability through complete real-time awareness. The authors would like to thank the program which finances projects aimed at ecological and digital transition (Grant No. TED2021-131137B-IO0: “Contribution to the Ecological Transition of the Industrial Sector through Photovoltaic Self-consumption”). The authors also acknowledge the support provided by the Thematic Net-work 723RT0150 “Red para la integración a gran escala de energías renovables en sistemas eléctricos (RIBIERSE-CYTED)” financed by the call for Thematic Networks of the CYTED (Ibero-American Program of Science and Technology for Development) for 2022. MDPI https://doi.org/10.3390/app152312656 https://www.mdpi.com/2076-3417/15/23/12656 https://hdl.handle.net/10953/6403 |
| spellingShingle | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework Snytko , Anastasiia SCADA Photovoltaic Monitoring Energy Management Self-Consumption Performance Indicators Energy&Fuel |
| status_str | publishedVersion |
| title | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| title_full | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| title_fullStr | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| title_full_unstemmed | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| title_short | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| title_sort | Fault Diagnosis for Photovoltaic Systems: A Validated Industrial SCADA Framework |
| topic | SCADA Photovoltaic Monitoring Energy Management Self-Consumption Performance Indicators Energy&Fuel |
| topic_facet | SCADA Photovoltaic Monitoring Energy Management Self-Consumption Performance Indicators Energy&Fuel |
| url | https://doi.org/10.3390/app152312656 https://www.mdpi.com/2076-3417/15/23/12656 https://hdl.handle.net/10953/6403 |