Optimal Placement of Dynamic Var Sources by Using Empirical Controllability Covariance
MetadataShow full item record
In this paper, the empirical controllability covariance (ECC), which is calculated around the operating region of a power system, is applied to quantify the degree of controllability of system voltages under specific dynamic var source locations. An optimal dynamic var source placement method addressing fault-induced delayed voltage recovery (FIDVR) issues is further formulated as an optimization problem that maximizes the determinant of ECC. The optimization problem is effectively solved by the NOMAD solver, which implements the Mesh Adaptive Direct Search algorithm. The proposed method is tested on an NPCC 140-bus system and the results show that the proposed method with fault specified ECC can solve the FIDVR issue caused by the most severe N-1 contingency with fewer dynamic var sources than the Voltage Sensitivity Index (VSI) based method. The proposed method with fault unspecified ECC does not depend on the settings of the contingency and can address more FIDVR issues than VSI method when placing the same number of SVCs under different fault durations. It is also shown that the proposed method can help mitigate voltage collapse.
The article of record as published may be found at http://ieeexplore.ieee.org/document/7450656/
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Nagashima, M.; Agrawal, B.N. (2012);For a large Adaptive Optics (AO) system such as a large Segmented Mirror Telescope (SMT), it is often difficult, although not impossible, to directly apply common Multi-Input Multi-Output (MIMO) controller design methods ...
Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian Qi, Junjian; Sun, Kai; Kang, Wei (IEEE, 2014);In this paper the empirical observability Gramian calculated around the operating region of a power system is used to quantify the degree of observability of the system states under specific phasor measurement unit (PMU) ...
EXPLORING THE USE OF HUMAN RELIABILITY AND ACCIDENT INVESTIGATION METHODS TO INFLUENCE DESIGN REQUIREMENTS FOR NAVAL SYSTEMS Whitehead, Cindy R. (Monterey, CA; Naval Postgraduate School, 2020-09);This thesis explores whether established methods from human reliability analysis and accident investigation can be applied early in system development to identify the design vulnerabilities that increase risk of system ...