Distributed Contingency Analysis over Wide Area Network among Dispatch Centers

Traditionally, a regional dispatch center uses the equivalent method to deal with external grids, which fails to reflect the interactions among regions. This paper proposes a distributed N-1 contingency analysis (DCA) solution, where dispatch centers join a coordinated computation using their private data and computing resources. A distributed screening method is presented to determine the Critical Contingency Set (DCCS) in DCA. Then, the distributed power flow is formulated as a set of boundary equations, which is solved by a Jacobi-Free Newton-GMRES (JFNG) method. During solving the distributed power flow, only boundary conditions are exchanged. Acceleration techniques are also introduced, including reusing preconditioners and optimal resource scheduling during parallel processing of multiple contingencies. The proposed method is implemented on a real EMS platform, where tests using the Southwest Regional Grid of China are carried out to validate its feasibility.Comment: 5 pages, 6 figures, 2017 IEEE PES General Meetin

Establishing Contingency Analysis with FACTS Devices Using Power World Simulator

Contingency analysis is the protection of power system operation under the loss of one or more of the major power system components. It is widely used to predict the effect of outages of transmission lines and generators. To calculate the number of violation, contingency analysis is the most preferable choice. Power systems use contingency analysis to foretell the result of any component failure. Contingency analysis is an application that uses a simulated model of power system to judge the result and calculate any overload. The proposed method approaches the flexible AC transmission system (FACTS) device to reduce the power flow in heavily loaded line and also increase the system performance. In this work, FACTS devices were implemented in IEEE 6-bus and IEEE 14-bus system and it is simulated by using Power World Simulator Software.Citation: MONISHA, B., and Balamurugan, K. (2018). Establishing Contingency Analysis with FACTS Devices Using Power World Simulator. Trends in Renewable Energy, 4, 114-131. DOI: 10.17737/tre.2018.4.3.005

CONTINGENCY ANALYSIS USING SYNCHROPHASOR MEASUREMENTS

The rapid progress of synchrophasor technology greatly promotes many applications of wide-area measurement systems. Traditionally, contingency analysis is based on off-line studies conducted long in advance. This is becoming increasingly unreliable for real-time operations. New technologies, which rely on accurate, high resolution, and real-time monitoring of actual system conditions using phasor measurements are needed to support the real-time operations. In this research an algorithm is developed, using phasor measurements, that allows real-time analysis and correction of contingencies in power systems. The focus is specifically on overloaded lines. An off-line study performed with POWERWORLD software is used for contingency analysis, and contingency indicative phasor limits are investigated using current magnitude and voltage angle. These limits are applied to a rotating phasor chart. An algorithm which predicts sensitivity is applied in the off-line analysis in order to determine the buses that need to be monitored. An actual system with available real-time PMU data is used to verify the phasor chart obtained using off-line data. The chart is completed for on-line data, and the off-line and on-line charts are compared for further verification

A Generalized Approach to Contingency Screening with System Islanding

This paper introduces a generalized contingency analysis approach that can identify critical pairs of contingencies (N-2 contingencies) that result in severe reliability violations or large numbers of islanded system components, bridging the gap between academic research and practical applications. We formulate the practical problem of N-2 contingency analysis in a clear mathematical format. We propose a generalized contingency screening approach compatible with all types of contingencies, including generator failure, load failure, open branches, and their mixtures that can lead to islanding. The proposed approach is demonstrated in a real Texas system, showing its effectiveness in critical contingency identification and its ability to enable possible practical contingency analysis applications