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Stochastic small disturbance stability analysis of multi-machine system based on energy function

机译:基于能量函数的多机系统随机小扰动稳定性分析

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Power system is a nonlinear network with many stochastic disturbances. Recently, with large-scale renewable power integration such as wind power and solar energy, it has caused much more stochastic factors in the power system. The traditional deterministic linear analysis methods need to be improved. Therefore, it has important value to use nonlinear differential equations to analyze the stochastic small disturbance stability of multi-machine system. In view of high dimensional and nonlinear factors in the multi-generator system, the nonlinear system model with random disturbances is applied in the paper and combined with the energy function method to analyze the power system stochastic small disturbance stability. The stability problem can be simplified from the complex high-dimensional vector problem into the simple one-dimensional vector problem by using energy function. Moreover, the Monte Carlo method is used to analyze the stability probability of the multi-machine system which is subject to random disturbances. The 4 machine 11 bus system is chosen as an example and the system stability probabilities under different stochastic disturbances can be got by simulation. By analyzing the simulation results, the practicality and validity of this analysis method is verified.
机译:电力系统是具有许多随机干扰的非线性网络。近年来,随着风能和太阳能等大规模可再生能源的整合,它已在电力系统中引起更多的随机因素。传统的确定性线性分析方法需要改进。因此,利用非线性微分方程分析多机系统的随机小扰动稳定性具有重要的价值。鉴于多发电机系统中的高维和非线性因素,本文采用了随机扰动的非线性系统模型,并结合能量函数方法对电力系统的随机小扰动稳定性进行了分析。通过使用能量函数,可以将稳定性问题从复杂的高维向量问题简化为简单的一维向量问题。此外,蒙特卡罗方法用于分析受随机干扰影响的多机器系统的稳定性概率。以4机11总线系统为例,通过仿真可以得到不同随机干扰下系统的稳定性概率。通过对仿真结果的分析,验证了该分析方法的实用性和有效性。

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