Research on power grid technology overhaul based on improved genetic algorithm

Wenfeng Wang; Chaoyin An; Cunkai Liu; Min Yang; Min Tang; Xiangqian Zhu

doi:10.1117/12.2639362

29 April 2022 Research on power grid technology overhaul based on improved genetic algorithm

Wenfeng Wang, Chaoyin An, Cunkai Liu, Min Yang, Min Tang, Xiangqian Zhu

Proceedings Volume 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022); 1225517 (2022) https://doi.org/10.1117/12.2639362
Event: 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 2022, Chongqing, China

Abstract

With the iteration of smart grid architecture, the application of computing technology in power grid dispatching and other links is more and more popular. Through the use of in-depth learning, intelligent algorithms, data fusion and other technologies, the power terminal is managed quickly, timely and safely on the edge side to meet the real-time response of power grid equipment and the high interactive experience needs of user. It also provides technical support for advanced power grid services, such as intelligent technology overhaul, intelligent dispatching and intelligent power consumption. In this paper, an improved genetic algorithm is used to solve the problem of making technical overhaul plan. The shortcomings of traditional genetic algorithm are analyzed, and the advantages of the improved genetic algorithm compared with the traditional algorithm are illustrated by the test function. The improved genetic algorithm is applied to solve the problem of technical overhaul planning of power grid, and the objective function and constraints of the problem are dealt with. The performances of the traditional genetic algorithm and the improved genetic algorithm are compared through an example.

Citation Download Citation

Wenfeng Wang, Chaoyin An, Cunkai Liu, Min Yang, Min Tang, and Xiangqian Zhu "Research on power grid technology overhaul based on improved genetic algorithm", Proc. SPIE 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 1225517 (29 April 2022); https://doi.org/10.1117/12.2639362

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KEYWORDS

Genetic algorithms

Computer programming

Fusion energy

Genetics

Optimization (mathematics)

Data fusion

Data transmission

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