| As the sustainable development of energy, small hydropower has drawn widespread attention. However, in China, the automation level of the monitoring and protection is relatively low, lacking appropriate cost-effective automation equipment for the selection. Those have led to low efficiency, which has seriously hampered the full use of water resources. This paper expounds the research on small hydropower excitation regulation unit and monitoring & protection comprehensive integration device for small hydro-generators under 800kW.In this paper, a general design scheme of comprehensive integration device for small hydro-generator monitoring & protection is proposed, considering economic technological features for small hydro-generator, and its characteristics are multi-functional integration, compact and cost-effective. The scheme has realized generator protection, Speed Control, Excitation system and automatic synchronization and other functions, using plug-in design with multiply CPU and modular design programming methods. This paper focuses on achievement of the protection unit and excitation regulation unit.Considering the characteristics of small generators, the paper abandons the protection of the dual redundant configuration and two protection units are set up. Protection unit A is a simple configuration for a generator protection, guaranteeing the safe operation of generators; Protection unit B adds a number of protection features, ensuring the complete protection of generating units and reliability. The protection system configuration, the principle of protection of various types, and each diagram of the logic of protection and the use of the algorithm are described in this paper.Excitation unit is composed of two parts: the excitation power part and excitation regulator. In this paper, brushless excitation and self shunt excitation is employed for the excitation power part, and the realization of the principle is described in detail. Excitation regulator uses the PID controller based on T-S fuzzy RBF neural network, the PID controller models based on T-S fuzzy RBF neural network, algorithms and the steps to achieve them are described in the text. Then, a large number of simulation tests using stand-alone article infinite power system model, with fuzzy RBF neural network PID controller are made and the results were analyzed.In this paper, the protection and the excitation unit conducted a comprehensive tested. The results show that the generator protection unit and the excitation unit meet the design requirements. The findings of the trial are presented and analyzed at last. |
