Abstract
This paper proposed the scheme of transmission lines distance protection based on differential equation algorithms (DEA) and Hilbert-Huang transform (HHT). The measured impedance based on EDA is affected by various factors, such as the distributed capacitance, the transient response characteristics of current transformer and voltage transformer, etc. In order to overcome this problem, the proposed scheme applies HHT to improve the apparent impedance estimated by DEA. Empirical mode decomposition (EMD) is used to decompose the data set from DEA into the intrinsic mode functions (IMF) and the residue. This residue has monotonic trend and is used to evaluate the impedance of faulty line. Simulation results show that the proposed scheme improves significantly the accuracy of the estimated impedance.
Highlights
Transmission lines are responsible for delivering a mass of energy from generator plants to load centers
The operation time of these relays is at least one cycle and their performance can be affected by current transformer saturation, exponentially decaying current component, etc
The differential equation algorithm (DEA) based distance protection can operate within 6 - 8 ms after fault occurring [4]
Summary
Transmission lines are responsible for delivering a mass of energy from generator plants to load centers. The traditional distance relays which have been widely applied to transmission line calculate the impedance to the fault using the fundamental frequency component of the local voltage and local current [1] [2]. The differential equation algorithm (DEA) based distance protection can operate within 6 - 8 ms after fault occurring [4]. This algorithm is not affected by dc offset and can make tripping decision before current transformer satura-. This paper presents a Hilbert-Huang transform (HHT) based scheme to extract high-frequency components of the results estimated by DEA. The residue was used to evaluate the impedance of the faulty line
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