Power Plant Control Parameter Optimization Without Panel Modification
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Solution Overview
Problem
Existing power plant control systems struggle 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 sets objective functions such as start-up time, load change rate, equipment lifetime consumption, and fuel cost, using sensitivity analysis to select and adjust control parameters without modifying existing control panels or equipment, allowing for optimized operation across various 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 plants deteriorates
Solution Approach 1:
The system changes parameters by allowing dynamic configuration of objective functions and control parameters specific to each plant's control panel specifications and operational requirements, rather than using fixed standardized parameters. This enables the optimization system to adapt to different plant types while maintaining optimization effectiveness.
Solution Approach 2:
The system implements dynamics by making the optimization framework flexible and configurable, where objective functions, control parameters, and constraints can be dynamically adjusted according to each plant's specific control panel specifications and operational requirements, transforming a static standardized system into an adaptive dynamic one.
2Adaptability or versatility
If control panel or equipment is modified to accommodate diverse requirements, then operational requirements are met, but system complexity and modification costs increase
Solution Approach 1:
The system creates a virtual model or copy of the plant's control parameters and operational characteristics, allowing optimization to be performed on this digital representation without physically modifying the actual control panel or equipment. This copying approach maintains adaptability while avoiding modification complexity.
Solution Approach 2:
The optimization system acts as an intermediary layer between the existing control panel and the optimization objectives, translating diverse operational requirements into optimized control parameter settings without requiring direct modifications to the control panel or equipment architecture.
3Productivity
If sensitivity analysis is performed to select control parameters, then operational efficiency is improved, but computational time and analysis complexity increase
Solution Approach 1:
The system performs preliminary sensitivity analysis to identify and select the most influential control parameters before executing the full optimization process. This preliminary action reduces the dimensionality of the optimization problem, improving operational efficiency while minimizing the computational time required for the main optimization execution.
Data Source
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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.