The Automatic Generation Control Algorithm And Simulation Based On PMU

With the gradual implementation of ultra-high voltage (UHV), the nationwide unified frequency of the power system is about to form. A wide range of long-distance power transmission with large capacity units becomes an obvious feature. The active power-frequency control quality of this ultra-large interconnected power grid will directly affect the operation of nationwide power system. Meanwhile, according to the national long-term energy development plan, the formation of China’s power grid will mainly focus on thermal power and hydropower and on the coexistence of diverse energy, such as wind power solar energy and nuclear power. Therefore, China’s power grid puts forward a higher requirement for system frequency and an urgent need to improve the ability to control the frequency.With the wide-area measurement systems used in electric power systems, generator power torque angle, generator frequency and its active power can be directly measured by PMU. It can realize simultaneous acquisitions of data on each node of the power system and provide milliseconds-precision dynamic data of the grid to dispatch master station. It has the function of monitoring the dynamic performance of power system as well as provides the possibility for online real-time analysis and calculation of power system and faster and more efficient active power-frequency control strategies.This paper is on the basis of providing highly accurate data of dynamic grid through PMU, based on the measured data of the generator frequency dynamic state. When the loads change, it will result in frequency inconsistent phenomenon at each point of the system and put forward sub-regional automatic generation control (AGC) for power units. Meanwhile, under the conditions of the interconnected power system, propose online identification method of regional frequency deviation coefficient using the PMU measured data. Explore the tuning method regional frequency deviation coefficient in depth through establishing the long-term time scale simulation system frequency fluctuation of power systemThis paper firstly introduced the current development of the power system and currently implementation of automatic generation control in power system, proposing an urgent need to improve the ability of the frequency control in power system. Then this paper using Krylov subspace model reduction method and based on generator frequency dynamic characteristics measured by PMU, put forward an sub-regional automatic generation control (AGC) method and then IEEE 10-machine 39-bus system is used to simulate and verify the validity of the proposed method. Finally, propose online identification method of regional frequency deviation coefficient based on the analysis of interconnected grid AGC adjustment response mechanism of regional frequency deviation coefficient and the generator online real-time operation state by measured data through PMU, analyze the optimization method of regional frequency deviation coefficient in case of the actual operation state of the power system and achieve a more accurate and efficient automatic generation control in power system. Verify the validity of the online identification method of regional frequency deviation coefficient by establishing the long-term frequency control simulation model of two-regional interconnected power system.