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Comparison of SCADA systems and their effect on predictive maintenance strategies in large PV power plants

  • Large PV power plant investments have accelerated in the last decade due to economic and political developments in the world. These investments have led to the technological development and maturity of all components used in a large PV power plant. However, large PV power plants still face various failures at the system and component levels. Detecting these failures instantly or even in advance will minimize the operation and maintenance costs and maximize the system reliability and safety of large PV power plants. As SCADA is still the most mature control and monitoring technology in the industry, PV power plant designers and operators can benefit from its functionalities to develop predictive maintenance strategies and control the large PV power plant built in a wide area. The thesis aims to conduct research on available SCADA infrastructure technologies for large PV power plants and compare them in a technical aspect to understand their effect on developing predictive maintenance strategies. Developing predictiveLarge PV power plant investments have accelerated in the last decade due to economic and political developments in the world. These investments have led to the technological development and maturity of all components used in a large PV power plant. However, large PV power plants still face various failures at the system and component levels. Detecting these failures instantly or even in advance will minimize the operation and maintenance costs and maximize the system reliability and safety of large PV power plants. As SCADA is still the most mature control and monitoring technology in the industry, PV power plant designers and operators can benefit from its functionalities to develop predictive maintenance strategies and control the large PV power plant built in a wide area. The thesis aims to conduct research on available SCADA infrastructure technologies for large PV power plants and compare them in a technical aspect to understand their effect on developing predictive maintenance strategies. Developing predictive maintenance strategies for large PV power plants depends on the correct, coherent, and reliable data provided by the SCADA system. All the necessary SCADA components that generate and transmit the operational data are identified. Standard SCADA communication protocols and topologies are compared in terms of their applicability to large PV power plants and their positive contribution to developing predictive maintenance strategies. Key performance indicators are identified for generating the actual operational trends, which are compared to expected or designed operating trends in the scope of predictive maintenance strategy. To improve the reliability and safety of the SCADA system, cyber-attack risk mitigation methods and redundancy instruments are presented. By considering all the findings and results of the multifaceted comparisons, a SCADA infrastructure system is designed as a case study to improve the effectiveness of the predictive maintenance strategy of a gold mine PV + BESS hybrid power plant in Burkina Faso.show moreshow less

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Metadaten
Author:Rezzan Güzel
Language:English
Document Type:Master's Thesis
Reviewer(s) at THI:Daniel Navarro Gevers, Tobias Schrag
Publishing Institution:Technische Hochschule Ingolstadt
Date of first Publication:2023/01/09
Year of first Publication:2023
Place of publication:Ingolstadt
Pages:viii, 61
URN:urn:nbn:de:bvb:573-36053
Faculties / Institutes / Organizations:Fakultät Maschinenbau
Degree Programmes:Renewable Energy Systems (M. Sc.)
Licence (German):License Logo Urheberrechtsschutz
Release Date:2023/04/20