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Markov model for steady-state simulations of power systems with renewable energy generators accessing

机译：用于可再生能源发电的电力系统稳态仿真的马尔可夫模型

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摘要

A model based on the Markov chain is proposed in this paper, which simulates steady-state variables of power systems to study the impact of the penetration of renewable energy generators (REGs). In this model, the power outputs of REGs are characterized by continuous time Markov chain (CTMC). In conjunction with the relationship between REGs' outputs and steady state variables, how these variables fluctuate with the stochastic outputs of REGs can be observed, which can be used to assess the influence of a REGs' connection scheme in the process of power source planning. Simulation studies are carried out on a 4-machine 11-bus power system to assess the impact of wind farms, examining the fluctuations of bus-voltage magnitudes and ramp requirements of synchronous machines. Simulation results have shown that the proposed model can efficiently solve the problem and fully consider the stochastic output of REGs.
机译：本文提出了一种基于马尔可夫链的模型，其模拟了电力系统的稳态变量，以研究可再生能源发生器的渗透（REGS）的影响。在该模型中，REGS的功率输出的特征在于Markov链（CTMC）。结合Regs输出和稳态变量之间的关系，可以观察到这些变量如何随着REGS的随机输出而波动，可用于评估REGS的连接方案在电源规划过程中的影响。仿真研究在4机11母电力系统上进行，以评估风电场的影响，检查总线电压大小的波动和同步机的斜坡要求。仿真结果表明，所提出的模型可以有效地解决问题并充分考虑regs的随机输出。

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