Volume: 15, Issue: 2, August 2013======================================================================================================== Up to 30 Years Peak Load Forecasting of
Jordanian Power Grid using Radial Basis Function Neural Networks Author: Almaita, E., Aulimat, B. Abstract: In this paper, the Radial Basis Function Neural Networks (RBFNN) algorithm is used to forecast the electrical peak load in Jordan. The total load consumption is divided into different sectors. These sectors are; households, commercial, services, industrial, water pumping and public lighting sector. The total load forecasting is calculated by the algebraic sum of the forecasted value of the different sectors. The forecasted total energy consumption, the average temperature, and the peak temperature are used to forecast the electrical peak load. The model used to forecast the peak load utilize a small, but important, number of factors that drive the peak load demand. In order to validate the effectiveness of the model the output of the model is compared with the output of another linear regression model. The forecasted growth rate of both models and the peak load historical growth rate show that the output of the RBFNN model is more realistic. (pp. 787791) Download PDF ======================================================================================================== Circulating Current Produced in a System of Two Inverters Connected in Parallel Authors: Carlos Alonso Sanz, José Miguel Ruiz González, José Antonio Domínguez Vázquez Abstract: This paper analyzes the
imbalances that produce circulating current in a system of two threephase
Voltage Source Inverters (VSI) with Space Vector Pulse Width Modulation (SVPWM)
that, sharing the same DC link, is connected to a balanced threephase load without
galvanic isolation. This analysis has identified two principal imbalances: the
difference between the dead times of the two inverters, and the difference
between the zerovector parameters of the two inverters. The first imbalance
studied in this paper is generic and can occur in any system of parallel
connected inverters. The second imbalance studied in this paper is specific to
the spacevector modulation. The study proposes the correction of the
imbalances by measurement algorithms and Proportional Integral Control (using
the Ziegler Nichols method to tune the controller), in order to reduce or
eliminate the circulation current and increase system performance, when the
imbalances act independently. It provides a method that does not use an equivalent
circuit or a model, determining the value of the imbalance directly and through
a system output signal. (pp. 792798) Download PDF ======================================================================================================== An Adaptive Kalman Filter for Voltage Sag Diagnosis in power system Author: Hisham Alrawashdeh, Johnson Asumadu Abstract: This paper proposed an adaptive kalman filter for amplitude tracking to help in diagnosing the voltage sag problem in power system, the proposed algorithm uses two kalman filter; one of them for figuring the dynamic change in the system parameters and the other for signal tracking, the kalman filter is adaptive by updating the state covariance matrix when the dynamic change occurs, exact knowledge of yhe noise covariance matrices are not needed in the proposed algorithm, where the noise covariance matrices are set to be incorrect in the kalman filter model, then the proposed algorithm is used to detect the amplitude of the fundamental component of a signal contains harmonics and noise. (pp. 799806) Download PDF ======================================================================================================== The Study of FuzzyLogic Controller for SSSC Author: Abdesselam Abderrahmani, Abdelkader Chaker, Abdellah Laoufi Abstract: Power
transfer capability of long transmission lines is limited by stability
considerations. Reducing the effective reactance of lines by series
compensation is a direct approach to increase transmission capability; often,
it is the most economical solution. The Static Synchronous Series Compensator (SSSC) is
a series connected FACTS controller, which is capable of providing reactive
power compensation to a power system. The reactive power flow/transmission line
side voltage is controlled by adjusting the phase angle of the series injected
voltage. In this paper, an improved fuzzy logicbased controller for SSSC is
developed for the stability of the power system. These models are first
validated by means of MATLAB simulations on a test system. (pp. 807811) Download PDF

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