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Study and Design of Intelligent Controller for HVDC Transmission System

Author: LuLinJuan
Tutor: DuXinHui
School: Taiyuan University of Technology
Course: Proceedings of the
Keywords: HVDC Converter Traditional PI control Fuzzy Control Neural control MATLAB simulation
CLC: TM571.6
Type: Master's thesis
Year: 2010
Downloads: 104
Quote: 0
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The national grid interconnection is the inevitable trend of development of China's power grid construction \HVDC is suitable for long-distance, high-capacity transmission of electricity, will become one of the main ways of grid interconnection. HVDC system as a highly controllable system, the performance of the controller is a powerful guarantee for the normal operation of the DC transmission system. Therefore, the HVDC system is a subject of practical significance. Currently, in HVDC control applications commonly used control method or the traditional controller. High-voltage transmission system is a typical strongly nonlinear, time-varying systems, the classic controller is difficult to ensure that the system is able to operate normally in all operation modes. Traditional controller adaptive, this paper focuses on the fuzzy control and neural network control theory in the DC control system, combined with the traditional control technology to design intelligent controller can respond in real time to changes in the system solve complex nonlinear uncertain problem for the power system. The paper first describes the theoretical system of the HVDC system, including the basic principle of the DC transmission system and constitute major components features, the inverter is the most important parts of the DC transmission project, the 12 pulse inverter The working principle and characteristics of a detailed discussion of theory pave the way for the system control strategy. System model based on a detailed analysis of the control mechanism of the DC transmission system, determine the basic control given the constant voltage control, current control, inverter side at the same time gives the basic control block diagram for the rectifier. Second paper discussed in detail the mechanism of fuzzy control and neural network control, and apply them to the the HVDC system controller. Finally, we design the intelligent controller based on fuzzy control and neural network technology. Using MATLAB to build a 12-pulse HVDC system simulation model and control strategy for the design of the controller simulation as follows: (1) When a the system rectifier side AC single-phase ground fault occurs, the traditional PI control and fuzzy control, neural network control, and other control strategies the simulation experimental and control policy under the system dynamic response curves were analyzed and compared; (2) When a the system DC line to ground fault occurs, the combination of a variety of traditional control and intelligent control control strategy simulation experiments, and with the side of the rectifier, inverter side dynamic response curve using conventional PI control strategy to compare. Simulation results show that: compared with the traditional PI control, intelligent control is more in line with the actual performance of followers as well as failure to restore such a powerful advantage. Therefore, the paper designed intelligent controller has a more robust and adaptive learning ability and better dynamic performance.

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CLC: > Industrial Technology > Electrotechnical > Electrical > Controllers,contactors, starters,solenoid > Controller > Special controller
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