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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Novel Hybrid Load-Frequency Controller Applying Artificial Intelligence Techniques Integrated with Superconducting Magnetic Energy Storage Devices for an Interconnected Electric Power Grid
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Novel Hybrid Load-Frequency Controller Applying Artificial Intelligence Techniques Integrated with Superconducting Magnetic Energy Storage Devices for an Interconnected Electric Power Grid

机译：新型混合负载频率控制器应用与互连电网的超导磁能存储装置集成的人工智能技术

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摘要

The focus of this work is to design a novel hybrid load-frequency control (LFC) strategy for a multi-area largescale electric power interconnection. The proposed methodology is based on two consecutive control phases, including an artificial neural network model and a PD-like fuzzy logic inference system. The new two-stage architecture enables this control strategy to utilize the advantage of each phase, and thus it is able to enhance the robustness of the LFC controller to quickly restore the steady state of the network after load variations. In addition, superconducting magnetic energy storage (SMES) devices, which can powerfully compensate for the loss of energy in an electric power grid, are investigated to support the LFC scheme. The integration of the novel hybrid LFC controller and the SMES devices in a large-scale network is completely capable of being a promising control solution for maintaining the system frequency against the load variations. The feasibility and superiority of the proposed control strategy over the conventional PI regulators as well as a number of previous studies will be demonstrated through numerical simulation processes with various load conditions implemented in a six-control-area electric power interconnection.
机译：这项工作的重点是设计一种用于多面积大区域电力互连的新型混合负载频率控制（LFC）策略。所提出的方法基于两个连续的控制阶段，包括人工神经网络模型和PD样模糊逻辑推断系统。新的两级架构使得该控制策略能够利用每个阶段的优点，因此它能够在负载变化之后提高LFC控制器的稳健性来快速恢复网络的稳态状态。另外，研究了超导磁能存储（SMES）器件，其能够强大地补偿电网中的能量损失，以支持LFC方案。新型混合LFC控制器的集成和大规模网络中的SMES器件完全能够成为维持系统频率抵抗负载变化的有前途的控制解决方案。通过具有在六控制区域电力互连中实现的各种负载条件的数值模拟过程，将证明所提出的PI调节器以及许多先前研究的所提出的控制策略的可行性和优越性。

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