Combined Heat and Power System Control via Decision Model Optimization
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Solution Overview
Problem
Conventional methods for controlling combined heat and power systems fail to ensure secure and efficient supply of both power and heat, often leading to insufficient or excessive heat supply and security risks.
Innovation Solution
A method and apparatus that establish a decision model to minimize total costs of generators and heating exchange stations, determining operation states to control the system, incorporating objective functions and constraints for electric and heating power output, and integrating start-stop control decisions to balance power and heat systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control methods are used for combined heat and power systems, then the system operation is simple, but the security of supplying power and heat cannot be ensured and heat supply may be insufficient or excessive
Solution Approach 1:
The patent transforms the control problem into an optimization problem by changing the parameters being controlled (power output, heat output, generator states) and using mathematical modeling to find optimal parameter combinations that satisfy multiple constraints simultaneously, thereby ensuring security of supply while maintaining manageable complexity
Solution Approach 2:
The patent performs preliminary calculations and optimizations in advance to determine optimal operation states for generators and heating exchange stations. By pre-calculating the decision model and optimal operation states before actual operation, the system can quickly implement reliable control without complex real-time adjustments
2Productivity
If conventional control methods are used, then the control process is simple, but wind power consumption is not improved and energy efficiency is reduced
Solution Approach 1:
The patent incorporates feedback mechanisms by using the decision model to continuously evaluate system performance and adjust operation states. The optimization model considers actual wind power availability and system demands, providing feedback-driven control that maximizes wind power consumption while managing the complexity through structured mathematical frameworks
Solution Approach 2:
The decision model serves multiple functions simultaneously: it optimizes power generation, heat supply, wind power consumption, and cost minimization. By creating a universal optimization framework that handles multiple objectives together, the patent improves wind power consumption and energy efficiency without requiring separate complex control systems for each function
3Loss of energy
If optimal operation states are determined through decision modeling, then total cost is minimized and energy efficiency is improved, but the calculation and control complexity increases
Solution Approach 1:
The patent replaces complex real-time mechanical control adjustments with mathematical optimization calculations. By substituting physical trial-and-error control methods with computational decision modeling, the system achieves improved energy efficiency while managing calculation complexity through structured mathematical approaches rather than brute-force methods
Data Source
AI summary
The present disclosure relates to a method, an apparatus and a storage medium for controlling a combined heat and power system, belonging to the field of power system technologies. The method discloses: establishing a decision model, the decision model including an objective function aiming to minimize a total cost of the first generators and the second generators, and constraints with respect to the first generators, the second generators and the heating exchange stations; solving the decision model to acquire operation states of the first generators, operation states of the second generators, and operations states of the heating exchange stations; and controlling the combined heat and power system, based on the operation states of the first generators, the operation states of the second generators, and the operations states of the heating exchange stations.