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In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in(More)
This paper presents a numerical method for observability analysis and restoration in power system state estimation based on Gram matrix factorization. A method to identify observable islands based on minimum norm solutions is also presented. The method has the advantage of being easy to implement because all information used for the new formulation can be(More)
This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect critical errors involving both analog and topology errors. These errors are represented by conforming errors, whose nature affects(More)
The authors present a new framework for fast decoupled state estimators. Decoupling is seen not as zeroing coupling submatrices in the problem Jacobian, but as a two-step procedure to solve full-Newton equations without major approximations. In addition to presenting a sound derivation of the standard version of the fast decoupled state estimator the(More)
This paper focuses on the effects of unbalanced loads over the three-phase state estimation and the problems related to the convergence, specially with observable islands. A simple strategy is proposed to deal with convergence problems of a three-phase state estimator in observable islands with unbalanced loads
This letter presents some notes on the use of the gram matrix in observability analysis. This matrix is constructed considering the rows of the measurement Jacobian matrix as vectors, and it can be employed in observability analysis and restoration methods. The determination of nonredundant pseudo-measurements (normally injections pseudo-measurements) for(More)
In this paper a method for solving the short term transmission network expansion planning (STTNEP) problem is presented. The STTNEP is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In this work we present a constructive heuristic algorithm to find a solution of the STTNEP of excellent(More)
This work presents a branch-and-bound algorithm to solve the multi-stage transmission expansion planning problem. The well known transportation model is employed, nevertheless the algorithm can be extended to hybrid models or to more complex ones such as the DC model. Tests with a realistic power system were carried out in order to show the performance of(More)
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of a Branch- and-Bound (B&B) algorithm to directly solve mixed non-linear integer problems. An efficient interior point method is used(More)
This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints in full competitive market, assuming that all generation programming plans present in the system operation are known. The methodology let us find an optimal transmission network expansion plan that allows the(More)