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International Journal of Frontiers in Engineering Technology, 2021, 3(2); doi: 10.25236/IJFET.2021.030204.

An Improved Multi-Agent System Based on GA and Its Application on Power System

Author(s)

Zhongyong Wang1, Yingjing Xu2

Corresponding Author:
Yingjing Xu
Affiliation(s)

1School of Automation, Guangdong University of Petrochemical Technology, Maoming, China

2Guangdong University of Petrochemical Technology, Maoming, China

Abstract

This paper proposes an improved multi-agent system based on genetic algorithm (GA). In order to apply the algorithm to power system state estimation, the special technical problems are proposed. According to the algorithm, the paper develops a real-time state inspection system. In the measured system, the calculation signals are induced from the consensus filter which the signal affected by the noise can be dealt with. The system was applied to the power system on account of the real data. Simulation results demonstrate that this design of the improved multi-agent system is successful, and the state inspection problem may be given a new method to be solved.

Keywords

power system, improved multi-agent system, state estimation

Cite This Paper

Zhongyong Wang, Yingjing Xu. An Improved Multi-Agent System Based on GA and Its Application on Power System. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 2: 18-23. https://doi.org/10.25236/IJFET.2021.030204.

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