Research On The Control Strategy Optimization Of Synchronous Vacuum Switch Using Improved Quantum Genetic Algorithm

Power system is a huge electric energy production and consumption system, in order toensure the quality of electric energy and realize the balance of power, all parts of power gridneed to input and remove reliably and timely. However, switching process may cause thetransient response of power grid and harm the equipment of power grid, the synchronousswitch technology plays an important role in reducing the overvoltage and inrush currentcaused by divide-shut brake operation as well as improving the stability of the power grids,which is a kind of intelligent control technology combined microelectronics technology andpermanent magnet technology. This paper emphasizes that the improved quantum geneticalgorithm apply to the optimized control strategy of synchronous switch. The main contentincludes four parts.The first part is about the introduction the basic theory of permanent magnetsynchronous switch, which includes the basic principle of permanent magnetic actuator,technology of synchronous switch and the factors which influences synchronous switch.then,the paper will introduce the servo control principle which applies to the synchronous switchposition and analyzes its disadvantages.The second part is the research dealing with improving quantum genetic algorithm (GA).Above all, it will introduce the basic principle of genetic algorithm, the process of quantumgenetic algorithm and its optimization. Then, it will analyze the advantages and disadvantagesof the algorithm and improve the quantum genetic algorithm (GA). The improved algorithmuses the revolving door rotation angle of the dynamic adjustment mechanism, and introduceniche selection combined with simulated annealing algorithm to eliminate mechanism, so thatthe population has better convergence efficiency and searching ability.Then next part covers improved quantum genetic algorithm optimizing fuzzy controlstrategy based on synchronous switch application. Firstly, this paper proposes a unitedstimulation by MATLAB simulation model building by dynamic characteristics of thepermanent magnet, conventional optimization algorithm (the stimulation ofAnneal Arithmetic, Genetic Algorithm, Quantum Genetic Algorithm) and improved algorithm.Then, contrastive analysis of the simulation result is given. Next, the following part willverify the validity and the possibility of the improved algorithm basing on the performancetest of the KM1-40.5/31.5kV type monostable permanent magnet vacuum circuit breaker ofthe fuzzy control strategy.Finally, a conclusion can be draw, comparing fuzzy control strategy, the algorithm (thestimulation of Anneal Arithmetic, Genetic Algorithm, Quantum Genetic Algorithm)the algorithm has better searching ability and robustness, which can reduce switch timedispersion furthermore, and has great significance in switch operating in extremeenvironment.