Analyzing effect of bad measurement data on load flow and state estimation in power system

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI:10.1109/NUICONE.2015.7449618

J. Patel, Dishang D. Trivedi, D. Desai, S. C. Vora, Vaibhav Patel

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引用次数: 1

Abstract

Accurate results of load flow become imperative for monitoring and control of emerging power system. Measurements used for load flow and state estimation are important for economical operation, optimal power flow, contingency analysis and security of a system. Measurements may be imperfect or erroneous due to problems in the communication channel, measuring instruments, A/D converters etc. Erroneous measurements can lead to divergence of load flow and/or erroneous load flow results. Hence, authors propose state estimation as an alternative to load flow in case of erroneous measurement data. In the paper presented, effect of bad measurement data on load flow has been verified on single machine two bus system and WSCC 3-generator 9-bus multi-machine system for stable and transient conditions. Using chi-square bad data detection algorithm, detected bad data are removed and states are estimated with remaining measurements. After removal of bad measurement data, use of accurate estimation of states is proposed instead of load flow results.

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分析了不良测量数据对电力系统潮流和状态估计的影响

准确的潮流结果对新兴电力系统的监测和控制至关重要。用于负荷潮流和状态估计的测量对系统的经济运行、最优潮流、应急分析和安全具有重要意义。由于通信通道、测量仪器、A/D转换器等问题，测量结果可能不完美或错误。错误的测量可能导致负载流的偏差和/或错误的负载流结果。因此，在测量数据错误的情况下，作者提出状态估计作为负荷流的替代方法。本文在单机双母线系统和WSCC 3-发电机9母线多机系统的稳态和暂态工况下，验证了不良测量数据对负荷潮流的影响。采用卡方坏数据检测算法，去除检测到的坏数据，并用剩余的测量值估计状态。在去除不良测量数据后，建议使用准确的状态估计来代替潮流结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 5th Nirma University International Conference on Engineering (NUiCONE)

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