Power Plant Control Parameter Tuning Across Diverse Panel Specifications
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing power plant control systems are limited in their ability to accommodate diverse control panel specifications and operational requirements, necessitating modifications to control panels or equipment, which is not feasible for all plants.
Innovation Solution
A control parameter optimizing system that includes an objective function setting section, a plant model, and a control parameter optimizing section, which selects and adjusts control parameters using control logic information to optimize operation without modifying the control panel or equipment, allowing for flexible operation control across different plant types and specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If control panel specifications and operational requirements are standardized for optimization, then optimization effectiveness is improved, but adaptability to different plant types and specifications deteriorates
Solution Approach 1:
The optimization apparatus is designed to handle multiple plant types and control panel specifications through a universal interface that can accommodate diverse operational requirements. The system extracts control parameters from different plant configurations and applies unified optimization methods, enabling one system to serve multiple functions across varying plant types without requiring plant-specific modifications.
Solution Approach 2:
The system changes the parameters being optimized from fixed control panel specifications to flexible operational parameters such as start-up time, load following capability, and fuel cost efficiency. By optimizing these operational parameters rather than hardware specifications, the system achieves adaptability across different plant types while maintaining optimization effectiveness.
2Adaptability or versatility
If control panel or equipment modifications are made to accommodate diverse operational requirements, then operational flexibility is improved, but device complexity and modification costs deteriorates
Solution Approach 1:
Instead of modifying the actual control panel hardware, the system creates a virtual model or copy of the control parameters and operational characteristics. This virtual representation allows for flexible optimization and adaptation to different operational requirements without physically altering the control panel or equipment, thereby avoiding increased device complexity and modification costs.
Solution Approach 2:
The invention replaces physical modifications to control panels and equipment with software-based parameter optimization. By substituting mechanical/hardware changes with computational optimization methods, the system achieves operational flexibility without increasing device complexity or requiring costly hardware modifications.
3Ease of operation
If existing plants are optimized without modifications, then ease of implementation is improved, but optimization precision and effectiveness deteriorates
Solution Approach 1:
The optimization apparatus incorporates feedback mechanisms that continuously monitor plant operational parameters and adjust optimization strategies accordingly. By extracting real-time control parameters from the existing plant and comparing actual performance against optimized targets, the system achieves high optimization precision without requiring physical modifications, thus maintaining ease of implementation.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A control parameter optimizing system 100 and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section 1, a plant model 3, and a control parameter optimizing section 2. The control parameter optimizing section 2 includes an optimization control parameter selecting section 7 and an optimization control parameter adjusting section 8. The optimization control parameter selecting section 7 selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant 300. The optimization control parameter adjusting section 8 adjusts the value of the optimization control parameter using the plant model 3 in such a manner as to optimize the objective function.