Research of AGC Control in Interconnected Power System

• Main Authors: Lei Hsia, 夏磊
• Other Authors: 劉志文
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/xbb83p

碩士 === 國立臺灣大學 === 電機工程學研究所 === 106 === The power system frequency is one of the three performance indicators of the power system operating quality. Frequency stability is the basic requirement for the operation of the power system. The premise is that the power generation and load including the power loss of the network match each other. According to the load changes of the power system, how to adjust the output of the generator at any time to meet the requirements of the load changes is a problem solved by the automatic generation control. The interconnected power system has time-varying, nonlinear, large delay, uncertainty and other characteristics. The conventional PID controller can not achieve excellent control performance. In order to improve the control performance of the complex system, this thesis designs the adaptive PID controller based on fuzzy control. Comparing with the conventional PID controller, the simulation results show that: in the interconnected power system, the adaptive PID controller based on fuzzy control improves the dynamic and static characteristics of the system. Afterwards, we use the particle swarm optimization algorithm to obtain the best value of the PID control parameters. Through observing the dynamic response conditions such as the frequency of the two regions and the change of the exchange power of the connection lines, we can prove the feasibility and superiority of the method.