Aiming At The Low Frequency Oscillation Of Power System Stabilizer Coordinationand Control System Desigh And Implementation

In a large modern power grid and the trend of network systems and smart grid applications development, China’s electric power system is also engaged in electric power engineering and the national network. In this project, the power system low frequency oscillation phenomena have occurred, but also a key bottleneck in the grid and gateway. For the low frequency oscillation suppression method is also the most widely used is the most economical and practical installation of power system stabilizer(PSS) in the generator excitation system. However, the traditional PSS parameter tuning are based on local closed loop single- infinite system small signal stability analysis. But at home and abroad for low frequency oscillation problem reports, many of the oscillation phenomenon is due to the large disturbance caused by the system, as well as more than it is caused by lack of coordination between regions. A lot of literature that, in the case of not taking into account the impact of inter-regional parameter settings for the PSS is likely to cause instability in the system itself, even within a single region generators each other with good will cause an imbalance of the entire power grid, even splitting.The asking solve the above problem, first of all, through the actual generation network simulation and combine on-line analysis, looking for low-frequency oscillation incentives, and then look for a dynamic and complex characteristics suitable for the power system of global optimization algorithm PSS parameters dedicated global agreement to adjust the set, finally for parameter tuning after the test. The main contents are:1. Characteristics of Sichuan, Chongqing, the actual operation of the grid, select the grid can reflect the actual operation of the main characteristics of the five generating units, its simulink simulation, while the installation of the generator control system for the PSS were to refine the simulation and test its functionality.2.Analysis of low frequency oscillation, compare today’s mainstream strategy for low frequency oscillation analysis, based on the actual situation and the system for the analysis of data requirements, the use of dynamic online Prony analysis method for the phasor measurement unit(PMU) are collected fit the data, analyzing the amplitude, frequency and damping oscillations, and for the global optimization algorithm provides an objective function.3.Multi-objective optimization algorithm to find a suitable system for the global multi-objective optimization algorithm, based on the results of the analysis of low frequency oscillation, establish appropriate objective function. After analysis of the existing applications more and have higher efficiency and robustness of the intelligent optimization algorithms, the paper decided to use differential evolution algorithm for multi-objective. This optimization algorithm can not only avoid local minima problems, and process optimization algorithm fit well with the characteristics of the power system operation, after the results of the optimization testing, validation of the algorithm is indeed feasible, and has good performance.