Applied Mathematics and Nonlinear Sciences (Jan 2024)

Research on Optimized Design of Intelligent Monitoring System of Power Dispatching Main Station

  • Qian Jianguo,
  • Qiu Yuyin,
  • Hu Zhenyu,
  • Gu Dongjian,
  • Song Xiaoxiao

DOI
https://doi.org/10.2478/amns-2024-2712
Journal volume & issue
Vol. 9, no. 1

Abstract

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In order to solve the current power dispatch monitoring difficulties, combined with the actual work requirements, research, and design of power dispatch monitoring system. This paper focuses on system design principles, demand analysis for a power dispatch monitoring system, and the design of the system’s functional application modules and database. In view of the inability of the system to monitor the cost of generator emissions and environmental pollution, the particle swarm algorithm is used to optimize this problem, and the system is tested and optimized for simulation analysis. The results show that the response time of the system is maintained within 5s under the condition of 600~1000 users logging into the system at the same time, and the other application tests of the system are passed. Under the same generator cost, the pollution emission of the system based on the PSO optimization algorithm is lower than that of the system based on the GA optimization algorithm, and the scheduling and monitoring utility is better. This paper’s research provides a valuable resource for the development of management systems that are comparable for power supply companies and the power industry as a whole.

Keywords