Economic Dispatch for Natural Gas-Electricity Networks
Learn to model and optimize integrated energy systems using Python and GAMS. Develop skills in energy system analysis, optimization, and Python programming.
Course Content
Economic Dispatch for Natural Gas-Electricity Networks is an all-levels Udemy course taught by Dr. S.Giannelos. It runs 2h 25m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 131 reviews, with 1,313 students enrolled. It is a paid course, last updated September 2025.
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Unlock the Future of Energy Systems: Integrated Modeling & Optimization
Are you ready to master the complexities of modern energy systems? This course provides in-depth knowledge of modeling and optimizing coupled natural gas and electricity networks, a critical skill in today's evolving energy landscape.
Who This Course Is For:
- Energy System Engineers: Enhance your capabilities in managing multi-energy infrastructure.
- Utility Professionals: Optimize gas and electric operations for efficiency and reliability.
- Energy Consultants: Analyze sector coupling and integration strategies for clients.
- Infrastructure Planners: Design resilient and integrated energy systems for the future.
- Graduate Students: Deepen your understanding of energy systems engineering and operations research.
- Energy Economists: Explore multi-commodity energy markets and optimize resource allocation.
- System Operators: Coordinate gas and electric networks for seamless operations.
- Anyone working on integrated energy system optimization.
What You'll Learn:
- Integrated Network Modeling: Learn to model coupled natural gas and electricity networks for integrated economic dispatch.
- Optimization Formulation: Develop skills in formulating optimization problems that capture the interactions between gas and power systems.
- Gas Network Constraints: Implement gas network constraints, including pipeline flow, pressure, and compressor operations.
- Gas-Fired Power Plant Modeling: Model gas-fired power plants as crucial coupling points between energy systems.
- Python & GAMS Implementation: Build integrated dispatch models from scratch using both Python and GAMS.
- Multi-Energy System Management: Handle multi-energy system constraints and inter-dependencies effectively.
- Optimization Analysis: Solve and interpret optimization results for informed coupled infrastructure planning.
- Economic Trade-offs: Evaluate economic trade-offs between electricity and gas system operations.
Why This Matters:
- Critical Infrastructure Link: Gas-fired power plants are vital, providing 40% of US electricity and bridging the natural gas and electricity networks.
- Renewable Integration: As renewable energy expands, optimizing gas plant dispatch is essential for flexibility.
- Cost Savings & Reliability: Poor coordination leads to billions in inefficiencies and potential cascading failures (like the 2021 Texas crisis).
- Future-Proof Skills: The shift to hydrogen and power-to-gas technologies makes integrated modeling even more critical.
- High-Demand Careers: Professionals with these skills command salaries ranging from $95,000 to $170,000+ in roles like system operations, energy consulting, and infrastructure planning.
Master the integrated optimization techniques used by TSOs, major utilities, and energy system planners worldwide. Gain a competitive edge in the rapidly evolving energy sector.
Course content is periodically reviewed and updated to reflect the latest industry advancements.
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