Thyristor control series capacitor ANFIS controller for damping oscillations

This study applies Adaptive Neuro Fuzzy Inference System (ANFIS)-based TCSC controller for damping oscillations. ANFIS which tunes the fuzzy inference system with a back propagation algorithm based on collection of input-output data makes fuzzy system to learn ANFIS controller is designed to damp out the low frequency local and inter-area oscillations of the Multimachine power system. Direct inverse control techniques are used in the design-of TCSC ANFIS controller which is derived directly from neural networks counterpart’s methodologies of the power system and the controller network to provide optimal damping. By applying this controller to the TCSC devices the damping of inter-area modes of oscillations in a multi-machine power system is handled properly. The effectiveness of the proposed TCSC ANFIS controller is demonstrated on two area four machine power system (Kundur system) which has provided a comprehensive evaluation of the learning control performance. Finally, several fault and load disturbance simulation results are presented to stress the effectiveness of the proposed TCSC controller in a multimachine power system and show that the proposed intelligent controls improve the dynamic performance of the TCSC devices and the associated power networ

Determination of best location of UPFC device for damping oscillation

Unified Power Flow Controller (UPFC) is use for controlling the real and reactive power on the transmission line and the bus voltage simultaneously and independently. An additional task of UPFC is to increase transmission capacity as result of power oscillation damping. The effectiveness of this controller depends on its optimal location in the power system network. A residue factor has been proposed to find the optimal location of the UPFC controllers and Eigen value analyses are used to assess the most appropriate input signals (stabilizing signal) for supplementary damping control of UPFC to damp out the inter-area mode of oscillations. The proposed residue factor is based on the relative participation of the parameters of UPFC controller to the critical mode. A simple approach of computing the residue factor has been proposed, which combines the linearized differential algebraic equation model of the power system and the UPFC output equations. The placements of UPFC controllers have been obtained for the base case and for the dynamic critical contingences. The effectiveness of the proposed method of placement is demonstrated on practical network of 25 bus south Malaysian Power system

Signals selection of TCSC device for damping oscillation

This paper proposes Eigen value analyses to assess the most appropriate input signals (stabilizing signal) for supplementary damping control of TCSC. The Right- Half Plane zeros (RHP-zeros) and Hankel Singular Value (HSV) is used as tools to select the most receptive signal to a mode of the Interarea oscillation. The effectiveness of the proposed method of selection of signals is demonstrated on practical network of 25 bus south Malaysian Power system

TCSC control of power system oscillation and analysis using eigenvalue techniques

TCSC devices are used to improve real power and eliminate line loses in ac systems. An additional task of TCSC is to increase transmission capacity as result of power oscillation damping. In this paper eigenvalue-based methods for analysis and control of power system oscillations using TCSC have been developed. The characterization of power system oscillations using the eigenvalues and eigenvectors of the state matrix is detailed. Design of power system damping controllers using residue method is addressed for two area four machine systems. The result shows the effectiveness of the method use

Protection system analysis using fault signatures

Power system fault is defined as an electrical fault, which involves the failure of primary electrical apparatus, resulting from the deviation of electrical parameters (i.e. voltage, current, frequency, power, etc.) from their normal operating values [1]. This situation requires the disconnection of the affected equipment by opening the relevant circuit breakers. Since the implementation of electricity deregulation, most of the power utilities have been operating their grid to its maximum capability limit due to commercial reasons. Therefore, consistent monitoring of the power system operation and performance have become mandatory to most of the countries throughout the whole world. However, system operators have to depend mainly on the relay indications, flags, fascia and Supervisory Control and Data Acquisition (SCADA) information flow

Artificial neural network based arcing fault detection algorithm for underground distribution cable

Arcing fault occurs in underground distribution cable due to electrical and water treeing in XLPE insulation and inadequate splices assembly. These faults can cause considerable damage to the equipments if they are not detected and isolated promptl

CT compensation of numerical distance relaying algorithm

In this paper a prototype algorithm for Numerical Distance relay is developed in order to prevent maloperation of relays when Current Transformer (CT) saturation occurs. Saturation of CT causes errors in reproduction of the current fundamental harmonic. The design of CT(s), which never saturate would end in bulky and expensive units. Therefore most of the protective CTs that are in service saturate during severe transients. Distorted secondary current due to CT saturation is detected and compensated by the algorithm in order to obtain correct operation of Distance relay in saturation area. Thirddifference function and Auto Regressive (AR) model are employed in developing the saturation detection and compensation algorithm. The algorithm is developed using C++ language. Then the performance of the algorithm is evaluated through simulation of case studies in Alternative Transient Program (ATP) simulator. Finally, the Numerical Distance Relaying algorithm with CT saturation compensation is successfully develope