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This article describes the evaluation performance of two constraint processing treatments (TCPT) techniques: the advantages of feasible (SF) and adaptive penalty (SP) solutions in combination with differential evolution (DE). Our approach is tested on Dez reservoir data related to water supply and hydropower operation to evaluate the accuracy of our approach. The results of the simulations on water supply and hydroelectric exploitation with spillway parameters forecast better prospects for the water resources of Ntem water flow. Indeed, to demonstrate the robustness of our approach, we did a simulation of the test functions to assess their potential. Then, we did a comparative analysis of our approach with other algorithms combined with the constraint treatment method. The quality of the results obtained by TCPTDE is much better in determining optimal solutions than the genetic algorithms, the swarm of particles, the colony of bees and the Drone Squadron Optimization (DSO) hybridized with TCPT. [ABSTRACT FROM AUTHOR]

A two-step method is applied for parameter identification of a saturated electromechanical model of an induction machine (IM). The k-factor cross saturation technique is used to account for iron saturation. Balanced and unbalanced short-circuits armature current waveforms of this machine are less sensitive to variations in the mechanical parameters. Conversely, any change in these parameters has a strong impact on the start-up test. Accordingly, in the proposed estimation method, the online double-line-to-neutral short-circuit test is performed to estimate the electrical parameters of the machine and the results obtained are then used to compute the mechanical parameters from the starting test. The good agreement of the estimated results with actual data attests to the effectiveness and suitability of the proposed algorithm in computing the electromechanical parameters of these machines. [ABSTRACT FROM AUTHOR]

A two-dimensional (2-D), time-stepped finite-element (FE) method is used to model and successfully replicate saturated line-to-line and three-phase short-circuit test responses recorded on a 40-pole 13.75-MVA hydrogenerator at Hydro-Quebec's Rapides-des-Quinze generating station. Three levels of line-to-line and sudden three-phase short-circuit tests (0.13, 0.25, and 0.48 p.u.) are simulated numerically using the FE-based model. While symmetrical faults are only used for parameter determination, the computed line-to-line waveforms are thoroughly compared to real data, with special attention given to field current responses. According to IEEE Std.-115-1995, the d-axis dynamic reactances and time-constants are computed from three-phase short-circuit tests while the negative-sequence reactance is derived from the line-to-line short-circuit test resulting in a rated armature current. The obtained simulated tests responses and parameter values, from both symmetrical and asymmetrical faults, support the effectiveness of the proposed FE-based model in incorporating the saturation phenomenon, large number of poles, and detailed damper representation to achieve an accurate dynamic performance assessment together with negative-sequence reactance and dynamic constants prediction. [ABSTRACT FROM AUTHOR]

The paper describes an effective formulation of a maximum-likelihood identification algorithm for linear estimation of the equivalent-circuit parameters of cage-type (single cage and double cage) or deep-bar induction motors with measurement and process noises. A complete generalized model for symmetrical and asymmetrical test analysis of induction machines is developed for this purpose. The paper outlines the theory and reasoning behind the proposed statistical-based treatment of online data derived from generalized least-squares estimator and a Kalman filter. The method is successfully applied to online double-line independent finite-element (FE) short-circuit-simulated records of a deep-bar-type induction motor. [ABSTRACT FROM AUTHOR]