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Comparison of centralized, distributed and hierarchical model predictive control schemes for electromechanical oscillations damping in large-scale power systems

机译:大型电力系统中电机电振荡的集中,分布式和分层模型预测控制方案的比较

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摘要

The paper investigates the feasibility of applying Model Predictive Control (MPC) as a viable strategy todamp wide-area electromechanical oscillations in large-scale power systems. First a fully centralizedMPC scheme is considered, and its performances are evaluated first in ideal conditions and then by consideringstate estimation errors and communication delays. This scheme is further extended into a distributedscheme with the aim of making it more viable for very large-scale or multi-area systems.Finally, a robust hierarchical multi-area MPC scheme is proposed, introducing a second layer of MPCbased controllers at the level of individual power plants and transmission lines. Simulations are carriedout using a 70-bus test system. The results reveal all three MPC schemes as viable solutions to supplementexisting controllers in order to improve the system performance in terms of damping. The hierarchicalscheme is the one combining the best performances in nominal conditions and the best robustnesswith respect to partial component failures and various modeling and measurement errors.
机译:本文研究了将模型预测控制(MPC)作为大型电力系统中的可行策略待滴大轨道机电振荡的可行性。首先,考虑完全集中的总结计划,其性能首先在理想条件下进行评估,然后考虑估计误差和通信延迟。该方案进一步扩展到分布式型Cheme,目的是使其对非常大的或多面积系统更加可行。最后,提出了一种强大的分层多面积MPC方案,在级别引入第二层MPCASED控制器个人发电厂和传输线。使用70总线测试系统进行仿真。结果将所有三个MPC方案作为可行的解决方案,以补充控制器,以便在阻尼方面提高系统性能。层次结构描写是将名义条件中的最佳性能的最佳性能和尊重部分组件故障以及各种建模和测量误差的最佳性能。

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