Responsibilities Include
- Ensure that state estimation (SE) and real-time contingency analysis (RTCA) achieve a solution quality of 99%, identifying areas for improvement in data accuracy and algorithm efficiency
- Assess and optimize the automatic generation control processes to enhance system responsiveness and stability. Evaluate unit commitment strategies to ensure efficient operation and scheduling of generation units
- Collect and analyze generation data from the RTGEN system to ensure accuracy and reliability in operational decision-making
- Review economic dispatch methodologies to optimize generation resource allocation based on cost-effectiveness. Analyze production costing models to ensure comprehensive understanding and accurate forecasting of operational expenses
- Monitor and evaluate reactive reserve levels to maintain system stability and reliability. Assess the integration and communication with external unit scheduling systems for improved coordination
- Analyze load shedding protocols to ensure effective management of system overloads. Evaluate the reliability monitoring systems to identify potential weaknesses and enhance overall system reliability. Review procedures for managing capacity and energy emergencies to improve response strategies
- Enhance demand forecasting processes to better predict customer needs and optimize resource allocation. Improve forecasting methods for variable renewable energy (VRE) generation to accommodate fluctuations in supply. Evaluate the weather monitoring systems to ensure accurate and timely data collection for forecasting. Develop robust load forecasting and planning methodologies to optimize operational efficiency. Create processes or systems for the renewable energy desk to streamline procurement activities
- Implement a structured schedule for changing set points in RTGEN to enhance operational flexibility and responsiveness
- Bachelor’s degree in Electrical Engineering, Computer Science, Information Technology, or a related field required
- Master’s degree in Electrical Engineering, Computer Engineering, or a related field required
- A minimum of 10 years of relevant work experience
- At least 10 years of professional experience leading SCADA modeling, network application, and testing portfolios in compliance with approved RTU and ICCP protocols
- Recognized as a Subject Matter Expert (SME) in the utility industry, with a proven track record of successfully delivering production-level EMS/SCADA/DTS and/or ISO Market implementation projects in large control centers, completed on schedule and within budget
- Experience in EMS modeling for:
- Dispatcher Power Flow (DLF)
- State Estimator (SE)
- Real-Time Contingency Analysis (RTCA)
- Automatic Generation Control (AGC)
- Security Constrained Economic Dispatch (SCED)
- Unit Commitment (SCUC)
- Dispatcher Training System (DTS) / Operator Training System (OTS)
- Proven experience in leading EMS/SCADA/DTS and market implementation portfolio projects, driving the implementation from incubation through factory acceptance testing (FAT), site acceptance testing (SAT), to go-live
- Excellent communication skills and a demonstrated ability to effectively resolve problems while collaborating with project management, business owners, stakeholders, software vendor representatives, and project audit/compliance/certification teams
- Proficient in managing large modeling changes and big data analysis using automated VB+, Perl/Python, and PL/SQL scripts, interfacing with major EMS vendors such as GE, ABB, OSI, Siemens, and AVEVA PI/OSIsoft
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