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Decentralized State Estimation and Remedial Control Action for Minimum Wind Curtailment Using Distributed Computing Platform

机译:使用分布式计算平台的最小风向分散状态估计和补救控制措施

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Intermittency of wind energy poses a great challenge for power system operation and control. Wind curtailment might be necessary at the certain operating condition to keep the line flow within the limit. Remedial action scheme (RAS) offers quick control action mechanism to keep reliability and security of the power system operation with high wind energy integration. In this paper, a new RAS is developed to maximize the wind energy integration without compromising the security and reliability of the power system based on specific utility requirements. A new distributed linear state estimation (DLSE) is also developed to provide the fast and accurate input data for the proposed RAS. A distributed computational architecture is designed to guarantee the robustness of the cyber system to support RAS and DLSE implementation. The proposed RAS and DLSE is validated using the modified IEEE-118 Bus system. Simulation results demonstrate the satisfactory performance of the DLSE and the effectiveness of RAS. Real-time cyber-physical testbed has been utilized to validate the cyber resiliency of the developed RAS against computational node failure.
机译:风能的间歇性对电力系统的运行和控制提出了巨大的挑战。在某些操作条件下,可能必须减少风速,以使管线流量保持在限制范围内。补救措施方案(RAS)提供了快速控制措施机制,以通过高风能集成来保持电力系统运行的可靠性和安全性。在本文中,根据特定的公用事业需求,开发了一种新的RAS,以最大程度地提高风能集成度,而不会损害电力系统的安全性和可靠性。还开发了一种新的分布式线性状态估计(DLSE),以为建议的RAS提供快速而准确的输入数据。设计了分布式计算体系结构,以确保网络系统的鲁棒性以支持RAS和DLSE实施。拟议的RAS和DLSE使用修改后的IEEE-118总线系统进行了验证。仿真结果证明了DLSE的令人满意的性能和RAS的有效性。实时网络物理测试平台已被用于验证开发的RAS抵御计算节点故障的网络弹性。

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