Turbine Cold-End System Modeling and Operational Optimization
Zheneng Technology Research Institute · Operational optimization · Sep 2024 – Dec 2025
Coordinated optimization of turbine cold-end equipment combinations, pump speeds and flow allocation.
- Optimization method
- DE + SLSQP
- Low-load optimization result
- +229.1 kW
- Paper status
- First-author core-journal paper accepted
Background
Studied the coupling between equipment combinations and continuous operating parameters in a turbine cold-end system, including circulating-water pumps, across different loads.
Methods
- Built a coupled discrete–continuous model using a two-level differential evolution (DE) and SLSQP algorithm.
- The outer level searches equipment on/off combinations, while the inner level optimizes continuous parameters, including pump speeds and flow allocation.
- Solved multiple load cases, compared operating strategies and validated the results.
Results
- Optimization calculations showed a 229.1 kW increase in net power benefit at low load.
- Extrapolation to seasonal operation yielded an estimated additional economic benefit of RMB 506,000.
Research outputs
A related first-author paper was accepted by a Chinese core journal, and one invention patent application was filed.