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What is the main research content of power system and its automation?

Research content:

(1) substation intelligent protection and integrated automation

The new principle of electric protection in power system is studied, and the latest artificial intelligence, fuzzy theory, integrated automatic control theory, adaptive theory, network communication and new microcomputer technology are applied to the new relay protection device, which makes the new relay protection device have the characteristics of intelligent control and greatly improves the safety level of power system. Substation automation system has been studied for many years, and the developed hierarchical distributed substation integrated automation device can be applied to substations with various voltage levels from 35 kV to 500 kV. The research in the field of microcomputer protection is at the international leading level, and the research in the field of substation integrated automation has reached the international advanced level.

(2) electricity market theory and technology

The needs of China's economic development, the development of electric power market and the specific situation of technical economy of electric power industry have carefully studied the operation mode of electric power market, and deeply discussed and clarified the specific rules of each step in the operation process; The specific mathematical model and algorithm of futures trading (annual, monthly and daily power generation plan) and transshipment service module suitable for China's current power market operation mode are put forward, closely surrounding the theoretical problems that need to be solved urgently in China's current simulated power market operation.

(3) Power system real-time simulation system

The dynamic characteristics monitoring of power load and real-time simulation modeling of power system are studied. This paper introduces the real-time simulation system of power system digital simulation produced by teqsim company in Canada, and builds the first mixed real-time simulation environment laboratory in colleges and universities in China. The simulation system can not only carry out steady-state and transient experiments of various power systems and provide a large amount of experimental data, but also form a closed-loop system with various control devices to assist researchers in testing new devices, thus providing first-class experimental conditions for studying the control strategies of intelligent protection and flexible transmission systems.

(4) Power system operator training simulation system

Power system operator training simulation system is a powerful means to combine the latest achievements of computer, network and multimedia technology with traditional power system analysis theory, and use expert system and intelligent cai (Computer Aided Instruction) theory to teach and train power system knowledge. The design of the system is novel, and the distribution and configuration of software resources are reasonable. In the software architecture, the coupling between the teaching platform and the student platform is very small, and the hardware expansion of the system is simple and convenient. In theory, the student platform can be expanded indefinitely.

(5) Automation of distribution network

Major technological breakthroughs have been made in ndlc, distribution network model and advanced application software pas, integration of geographic information and distribution network scada. Among them, ndlc adopts dsp digital signal processing technology, which improves the sensitivity of carrier reception and solves the technical problems such as attenuation, interference and routing of carrier application in distribution network. Advanced application software pas combines the theoretical algorithm of transmission network ems with the actual distribution network, and adopts the latest international standards iec6 1850, 6 1970cim public information model. Recursive virtual power flow algorithm for distribution network is used for power flow calculation; Application of artificial intelligence grey neuron algorithm in load forecasting.

(6) Power system analysis and control

On-line measurement technology, real-time phase angle measurement, power system stability control theory and technology, small current grounding line selection method, power system oscillation mechanism and suppression method, generator tracking synchronization technology, nonlinear excitation and speed control, power flow calculation convergence, power grid dispatching automation simulation, power load forecasting method, power grid fault diagnosis and recovery control strategy based on flexible data acquisition and monitoring, and power grid fault diagnosis theory and technology are studied. The application of nonlinear theory, soft computing theory and wavelet theory in power system is studied, as well as the new theory, model, algorithm and realization means of power system analysis and control under the condition of power market.

(7) Application of artificial intelligence in power system

Combined with the needs of the development of electric power industry, the practical research on applying expert system, artificial neural network, fuzzy logic and evolution theory to the operation analysis, alarm processing, fault diagnosis and planning and design of electric power system and its components is carried out. On the basis of the above practical software research, the theory and application of intelligent control of power system are studied to improve the intelligent level of power system operation and control. .

(8) Application of modern power electronics technology in power system.

The control theory and algorithm of power electronic devices, the behavior and function of various power electronic devices in power system, flexible AC transmission system, microcomputer control technology of DC transmission, dynamic reactive power compensation technology, active power filter technology, variable frequency speed regulation technology of large capacity AC motor and new energy storage technology are studied.

(9) Electrical equipment condition monitoring and fault diagnosis technology

By combining sensor technology, optical fiber technology, computer technology, digital signal processing technology and pattern recognition technology, the insulation monitoring method and fault diagnosis mechanism of electrical equipment are studied in detail, and the monitoring system of main electrical equipment such as generator, transformer, switchgear, capacitive equipment and DC system is developed, which comprehensively improves the safe operation level of electrical equipment and power system.