Balamurugan Vs

Configured, tested, and troubleshot power plant controller (PPC) systems on Linux and Windows for utility-scale solar projects. Led investigation and resolution of HMI, database, and performance issues across multiple live sites while coordinating with SQA, development, and engineering teams. Performed HIL testing with RTDS and OPAL-RT and supported end-to-end FAT/SAT activities including grid-code and redundancy validation. Built Python automation for testing and validated data pipelines using PostgreSQL, MySQL, Redis, and monitoring through Prometheus and Grafana.

Worked on PPC configuration and end-to-end testing for the Al Muwayh solar installation. Supported FAT/SAT activities including redundancy and system integration checks. Validated data processing and monitoring workflows to improve reliability across deployed assets.

Supported PPC testing and validation efforts for the Al Khushaybi solar project. Performed functional and regression testing of control logic, grid-code-related behaviors, and communication links. Contributed to RCA-driven troubleshooting and system optimization for reliable operation.

Participated in PPC system integration and testing for the Al Kafah solar plant, including HIL/SIL-based validation support. Verified measurements, setpoints, alarms, and HMI pages against expected behaviors. Helped troubleshoot data and performance issues to ensure stable system operation.

Contributed to PPC configuration, functional and integration testing, and end-to-end validation for the Arras 2 solar project. Supported communication testing with field devices and verified control behavior for key operating parameters. Assisted in defect troubleshooting and operational readiness for FAT/SAT activities.

Worked on PPC system testing and validation for the NEOM utility-scale solar installation, covering end-to-end checks and grid-code compliance. Supported HMI/SCADA validation, controller response verification, and backend data flow validation. Contributed to troubleshooting and performance optimization across the project deployment.