Open AccessBook
Modern Power Systems Analysis
TLDR
Stochastic Security Analysis of Electrical Power Systems and Power System Transient Stability Analysis and Small-Signal Stability Analysis of Power Systems.Abstract:
Mathematical Model and Solution of Electric Network.- Load Flow Analysis.- Stochastic Security Analysis of Electrical Power Systems.- Power Flow Analysis in Market Environment.- HVDC and FACTS.- Mathematical Model of Synchronous Generator and Load.- Power System Transient Stability Analysis.- Small-Signal Stability Analysis of Power Systems.read more
Citations
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Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm
TL;DR: In this article, an opposition-based gravitational search algorithm (OGSA) is applied for the solution of optimal reactive power dispatch (ORPD) of power systems, which is defined as the minimization of active power transmission losses by controlling a number of control variables such as generator voltages, tap positions of tap changing transformers and amount of reactive compensation.
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Optimization of Power System Stabilizers using BAT search algorithm
TL;DR: In this paper, a new metaheuristic method, the BAT search algorithm based on the echolocation behavior of bats is proposed for optimal design of power system stabilizers (PSSs) in a multimachine environment.
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Review of major approaches to analyze vulnerability in power system
TL;DR: This paper aims to guide the reader toward choosing the most effective method according to the issue investigated, namely the N-k problem, trade-off between robustness and optimality, and emerging drivers in power grids.
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Support-Vector-Machine-Based Proactive Cascade Prediction in Smart Grid Using Probabilistic Framework
TL;DR: A proactive blackout prediction model for a smart grid early warning system that evaluates system performance probabilistically, in steady state and under dynamical (line contingency) state, and prepares a historical database for normal and cascade failure states is proposed.
References
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Book
The algebraic eigenvalue problem
TL;DR: Theoretical background Perturbation theory Error analysis Solution of linear algebraic equations Hermitian matrices Reduction of a general matrix to condensed form Eigenvalues of matrices of condensed forms The LR and QR algorithms Iterative methods Bibliography.
Journal ArticleDOI
Introduction to Probability Models.
TL;DR: There is a comprehensive introduction to the applied models of probability that stresses intuition, and both professionals, researchers, and the interested reader will agree that this is the most solid and widely used book for probability theory.
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A new polynomial-time algorithm for linear programming
TL;DR: It is proved that given a polytopeP and a strictly interior point a εP, there is a projective transformation of the space that mapsP, a toP′, a′ having the following property: the ratio of the radius of the smallest sphere with center a′, containingP′ to theradius of the largest sphere withCenter a′ contained inP′ isO(n).