LIXISE excitation control of power system automation technol
Title:LIXISE excitation control of power system automation technology analysis
Power system automation system generally refers to electrical secondary system, namely power system automation refers to using a variety of detection, decision and automatically Excitation control function of the device and through the signal system and data transmission system for power system components, in situ of the local system or the system or the remote monitoring, coordination, adjust and excitation control to ensure the power system safe and stable operation and healthy qualified power quality.
Electric power automation intelligent technology
With the continuous development of social production, the excitation control of power system, higher and higher demands are proposed, some advanced excitation control method constantly introduce the power system.At present there are mainly five kinds of typical intelligent use of technology in power system is very common.
1. The neural network excitation control technology
Due to the nature of neural network has the nonlinear characteristics, parallel processing ability, strong robustness and self organization the ability of self learning, so get the attention of people.Neural networks are composed of a simple neurons connected in some way.Neural network will be a lot of information implied in the connection weights, adjust the weights according to certain learning algorithms, neural network from m dimensional space to n dimensional space complex nonlinear mapping.The neural network theory research mainly focus on the neural network model and structure of the research, the research of neural network learning algorithm, neural network hardware implementation issues, etc.
2. Fuzzy logic excitation control technology
Fuzzy method makes excitation control is very simple and easy to grasp, also shows the superiority in household electrical appliances model to implement the excitation control is the comparison of the modern advanced method, practice shows that it has great superiority.Fuzzy excitation control theory has a very wide range of applications.For example, we use the electric stove, electric equipment such as electric fans.Here are excitation controller with fuzzy logic to improve the conventional example of a thermostat.General electric heating furnace with a thermostat to maintain several temperature, use for cooking, fuzzy excitation control method is very simple, for both temperature and temperature changes of input language variable, each language theory of domain variables with 5 groups language jumper to describe each other.
3. The linear optimal excitation control technology
The optimal excitation control is an important component of the modern theory of the excitation control part, and the optimization theory is used to excitation control problem of a kind of embodiment.Linear optimal excitation control is applied in many modern excitation control theory of the most, the most mature of a branch., sun yuanzhang et al people use optimal excitation excitation control method is presented to increase transmission capacity and long distance transmission line to improve quality of dynamic problems, a series of important research results.The study pointed out that in terms of large units should direct use of optimal excitation excitation control mode instead of classical excitation mode.In addition, the optimal excitation control theory in the optimal time of hydro-generator braking resistor has also succeeded the application of the excitation control.
4. The integrated intelligent excitation control technology
Integrated intelligent excitation control on the one hand includes intelligent excitation control combined with the modern excitation control method to study more in the power system with the combination of neural network and expert system, the combination of expert system and fuzzy control, the combination of neural network and fuzzy control, neural network, fuzzy excitation control with the combination of adaptive excitation control, etc.Neural network is suitable for processing unstructured information, the fuzzy system to deal with the structured knowledge more effectively.Therefore, the combination of fuzzy logic and artificial neural network has a good technical foundation.
summary: the excitation control of power system automation technology has developed rapidly, and in the power industry shows its unique charm, the improvement of automation excitation control technology and automation components, improving the performance of stability, security and economy of power system plays an important role.LIXISE as advocates of generator automatic and intelligent system, produced SX seriesExcitation regulator get the customer high praise, in the quality and reliability.