| With the development of economic construction in our country, the demand of energy is increasing, and the amount of fossil energy such as coal, petroleum is also increasing, however environmental pollution problems caused by them cannot be ignored, and contrary to the concept of sustainable development. Because of its natural and non polluting characteristics, water power resources have been widely concerned. Excitation system is an important part of power system, which is responsible for maintaining the stability of the network. It is of great benefit for the further study of excitation control system.PID control strategy can’t meet the requirements of the dynamic performance of the system under different conditions, and the performance is poor in the actual operation, which affects the safe and reliable operation of the power system. After further study of excitation control system, the ratio coefficient, integral coefficient and differential coefficient of PID of the excitation regulator are generally obtained by experience, which will inevitably lead to errors, so that the system can’t always be in the best running state. In this paper, the adaptive genetic algorithm is used to optimize the parameters in order to obtain better control effect. The main work of this paper is as follows:(1) On the basis of analyzing the excitation control system, the mathematical model of each link is set up. On the basis of the simplified model, the transfer function block diagram of the system is established, which provides the necessary theoretical support for the future simulation.(2) According to the shortcomings of traditional genetic algorithm, an adaptive genetic algorithm is proposed, and an improved strategy is proposed in the application of the algorithm to optimize the parameters.(3) On the basis of field test of excitation system, the adaptive genetic algorithm is compared with the conventional PID parameters in the simulation process, and the feasibility of the algorithm is verified. |
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