Abstract
The cooling pipe network system of the power plant has the characteristics of multiple users, multiple working conditions, and complex topological structure. The division of water supply to the pipe network can simplify the topological structure of the pipe network, facilitate flow regulation, and adapt to the requirements of multiple working conditions. District water supply can be divided into districts according to flow, pressure and structure. The user allocation of pipe network water supply system is a typical combined optimization problem. When the system is relatively complex and the number of users is huge, conventional enumeration methods, dynamic programming and other methods are often unable to solve such problems. The combined algorithm of particle swarm algorithm and genetic algorithm can obtain approximate solutions to such problems. By using a combination of particle swarm algorithm and genetic algorithm to analyze and determine the distribution of pipe network user traffic, it is possible to avoid the waste of energy in the distribution of pipe network users based on experience. The combined algorithm proposed in this paper has high stability, can change the number of partitions to adjust user allocation according to actual needs, and has strong versatility. For the case described in this article, when the number of partitions is 2, compared to the cases where the number of partitions is 3 and 4, the flow rate and pressure drop of each partition are not much different, which can better meet the reliability and maintainability requirements
Highlights
The complex cooling pipe network system has the characteristics of multiple users, multiple working conditions, and complex topological structure
Each user adopts the form of parallel connection, and the water supply system of the pipe network should choose the same type of pump, which can improve the maintainability of the entire system, facilitate mutual replacement, and enhance the reliability of the system[4-5]
Through the use of particle swarm algorithm and genetic algorithm to analyze the distribution of pipe network users, the conventional method of assigning pipe network users based on experience is effectively improved
Summary
The complex cooling pipe network system has the characteristics of multiple users, multiple working conditions, and complex topological structure. The pipe network of the complex cooling system is a tree-like network, and each subsystem user branch adopts a parallel structure, and each branch provides water supply through the main pipe and is discharged by a sea valve. Each user adopts the form of parallel connection, and the water supply system of the pipe network should choose the same type of pump, which can improve the maintainability of the entire system, facilitate mutual replacement, and enhance the reliability of the system[4-5]. Partition according to branch pressure In the zoning subsystem, each user adopts the form of parallel connection, and the pressure drop caused by the corresponding flow of each branch is the same.
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