Power Quality Monitoring System Using DWB on Distribution Automation System

Kang, Mi Ae; Lee, Heung-Ho

doi:10.5207/jieie.2011.25.9.086

Cited by 1 publication

(1 citation statement)

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“…The DAS system monitors power facilities installed on distribution systems and their operational status in real time [26,27], swiftly identifies any functional failure, shortens the time of failure through remote control, and reduces malfunctioning parts to support and ensure a stable power supply. Figure 3 shows the algorithm of the distribution system's data acquisition in DAS.…”

Section: Integrated Data Acquisition and Convergencementioning

confidence: 99%

Development of a Transmission and Distribution Integrated Monitoring and Analysis System for High Distributed Generation Penetration

2017

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Abstract:To date, power system analysis has been performed separately for transmission and distribution systems. Due to the small influence of distribution systems on transmission systems, separate analyses have had no accuracy problems in existing power systems. However, as the amount of distributed generation (DG) in distribution systems increases, neighboring distribution systems and even transmission systems can be affected by the distributed generation. Therefore, a power system operator needs a new system to analyze the power system, one that considers the mutual interactions between the transmission and distribution systems. This paper presents with applications and case studies a transmission and distribution integrated monitoring and analysis system for high DG penetration. The integrated system analyzes the mutual interaction between the transmission and distribution systems due to DG. The preliminary evaluation of the DG connections is automated in this system, using real time online data. Case studies with practical data show the need and effectiveness of transmission and distribution integrated monitoring and analysis for real power systems with high DG penetration.

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Section: Integrated Data Acquisition and Convergencementioning

confidence: 99%