WP2 focused on preventive mitigation measures for a more accurate PV plant design and higher quality procurement. WP2 has reported on the "Automated PV digital twin-based yield simulation framework”, on "Retrofit ARC", on "Utility-scale integrated yield/reliability modelling framework", on "Integrated yield/reliability modelling framework for residential PV plants" and on "Guidelines for design, procurement and O&M friendly concepts for floating PV systems". For the accurate yield assessment for utility scale PV, improvements of the physics-based models and demonstration of their applications in a scenarios-based approach were carried out. For residential PV, partners developed a version of an algorithm for determining shading tolerability for any mono-facial PV module based on datasheet information.
WP3 focused on data driven mitigation measures in advanced PV plant monitoring. WP3 has published work on "Big data analytics for smart monitoring towards predictive maintenance in utility-scale PV systems" and "Peer to peer (P2P) optimization methodology for medium size commercial-residential PV systems". PV performance analytics from 10,000 PV plants were done in conjunction with WP2. In P2P monitoring for fault detection in residential or medium commercial systems, energy generation is predicted based on peer systems, avoiding the need for a digital twin, weather data, or performance simulation.
WP4 focused on Data driven mitigation measures in advanced PV field inspection. WP4 submitted various deliverables on "aerial EL/PL imaging techniques for PV modules", "aerial UV/UV-F imaging techniques for PV modules", "serial number aerial scanning", "Anti-Reflective Coating degradation assessment", "Report on progressive revamping and repowering of utility-scale PV plants", "repair/re-use and in-source recycling of PV modules and BOS components", "module level monitoring for progressive revamping and repowering", "augmented reality solutions for on-site interventions and permanent advanced field supervision", and "large database for failure rates calculation, mitigation measures and failure rate reduction based on CPN methodology". WP4 focused on setting up the experimental PV plant consisting of bi-facial HJT PV modules produced by EGP, mounted on E-W tracking systems, and connected with the electroluminescence (EL)- and photoluminescence (PL)-ready HUAWEI inverter prototype. Informative and analytical reports and technical manuals focusing on the re-use of PV components were developed. BAYWA and RAPTECH tested retrofit module monitoring sensors in a real/operational environment. SAIDEA, together with BAYWA and EURAC, implemented the use of in field robotics for PV module inspections. The TRUST PV Risk Matrix has been published online and the CPN methodology has been refined to be applied to individual operation & maintenance tickets. In this task, more than 250,000 O&M tickets have been aligned to the TRUST PV Risk Matrix.
WP5 focused on improved operational stability and interoperability at the point of connection for PV grid friendliness. WP5 reported on "PV high-penetration scenarios in the distribution grid", "Forecasting for advanced operational stability, "Digitalised active PV-grid architecture data models", "Advanced Power Plant Controller for ancillary services", "Definition of advanced services and interoperability scenarios", "Operational stability and ancillary services in distributed (virtual) PV plants", "Fully Flexible and interoperable PV plants". PV penetration extracted from the optimization of energy scenarios has been converted to PV power penetration and consequently has been compared with the hosting capacity (HC) results for three reference distribution grids. Four subtasks were set up to investigate the use of several forecasting approaches at these different time horizons. An extensive series of simulations were performed of Renewable Energy Communities (RECs). Several scenarios of a Residential VPP were simulated to compare different strategies of peer-to-peer and peer-to-grid energy sharing. Finally, the overview of a modular and scalable VPP cloud platform architecture is introduced. The detection of grid instability was studied together with mitigation possibilities using inverters under tight coordination from a power plant controller. Research has also been carried out on the role of fast data retrieval for the purposes of both troubleshooting in case of weak grids.
In WP6 focused on the establishment of the Digital Twin concept. Various features of the Antares platform of SAIDEA were developed with a highlight on the Decision Support System.
WP7 was dedicated to the demonstration in a real operational environment of all the solutions developed in the technical WP.
