International Journal of Frontiers in Engineering Technology, 2021, 3(2); doi: 10.25236/IJFET.2021.030204.
Zhongyong Wang1, Yingjing Xu2
1School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
2Guangdong University of Petrochemical Technology, Maoming, China
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.
power system, improved multi-agent system, state estimation
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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