Bad data identification when using ampere measurements

IEEE/PES TRANSMISION AND DISTRIBUTION CONFERENCE AND EXPOSITION (.1996.DENVER)Earlier papers have shown that the use of power system line current magnitude measurements may lead to nonuniquely observable systems. This paper studies the bad data identification problem under these conditions. The definition of measurement criticality is revised in order to account for the nonuniquely observable cases. The problem of bad data identification is investigated both as a post estimation problem when using the least squares estimation method and as an outlier rejection problem when using the least absolute value estimation method. Modifications to the existing bad data processing methods are proposed in order to account for the current magnitude measurements

State Estimation in Two Time Scales for Smart Distribution Systems

The monitoring of distribution systems relies on a critical set of pseudomeasurements and a varying but low number of redundant measurements. In the light of the different refreshing rates of both types of information, this paper considers a state estimation model structured in two time scales. Possibilities and limitations of the proposed model are discussed, and illustrated on a real distribution system comprising a diversity of load patterns

An efficient ordering algorithm to improve sparse vector methods

This paper presents a new node ordering algorithm to enhance sparse vector methods. The proposed technique locally minimizes the number of non-zero elements of the inverse of the table of factors. It uses the cardinality of the set of nodes which precede each node in the path graph as a tie-break criterion in the minimum degree elimination process. Test results are included showing that the method performs better than previously published methods.IEEE Power & Energy Societ

Multi-Processor Architectures for Solving Sparse Linear Systems. Application to the Load Flow Problem

IFAC SYMPOSIUM ON COMPONENTS,INSTRUMENTS AND TECHNIQUES FOR LOW COST AUTOMATION AND APPLICATIONS.1986 (.1986.VALENCIA)Three heuristic algorithms for solving a cluster problem associated with the tearing of a symmetric matrix are presented. Based on these partitioning procedures, a method for the parallel solution of the fast decoupled load flow has been developed, although it is also suitable for the parallel solution of any linear equations system. Experimental results of applying such algorithms on several test systems have been obtained using a multiprocessor architecture

El apocalipsis doméstico: el fin del mundo según Jaume Balagueró

Jaume Balagueró's cinematography is directly connected with Adam Parfrey´s  concept of "Apocalypse Culture". It is a very personal vision of the end of the world in everyday life context. This author´s cinema does not show dystopian environments or collapsing societies or major natural disasters, on the contrary, the apocalypse born  indoors. Balagueró builds his peculiar vision of the end of the world from his fondness for the dark and millenarian spirit. His works address from a gloomy and ugliness aesthetics more rooted in human society such as death, ancestral rites, as something immovable, the pursuit of primal evil as overcoming of conventional religions. This paper aims to analyze the aesthetic, discursive and stylistic constacts that define the Jaume Balagueró´s cinema as apocalypse films, in which converge the classic and modern into what we call the Nova Escola de Barcelona

Offset-Assisted Factored Solution of Nonlinear Systems

This paper presents an improvement to the recently-introduced factored method for the solution of nonlinear equations. The basic idea consists of transforming the original system by adding an offset to all unknowns. When searching for real solutions, a real offset prevents the intermediate values of unknowns from becoming complex. Reciprocally, when searching for complex solutions, a complex offset is advisable to allow the iterative process to quickly abandon the real domain. Several examples are used to illustrate the performance of the proposed algorithm, when compared to Newton’s methodMinisterio de Economía y Competitividadt ENE2013-48428-C

A Comparison Between Kalman Filters and STDFT for Harmonic Estimation in Power Systems

5th WSEAS/IASME Int. Conf. on Electric Power Systems, High Voltages, Electric Machines, Tenerife, Spain, December 16-18, 2005This paper presents a comparison between Kalman filter and the running DFT for the computation of harmonics in power systems applications. The performance of both filters is compared for events like voltage dips or those in which a decaying DC component is present. The comparison considers also the presence of higher order harmonics