Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy-Genetic

Optimal Reactive Power Flow (ORPF) for improving voltage profile and power loss reduction is very important in power system planning; though its method, constraints, and quality of compensation are very effective. Value of compensator, transformer tap ratio, and generator voltages are assumed as controlling variables. Usually this optimization is accompanied by harmonic production. The most important parameter of reactive power compensators is minimum production of harmonics. Nowadays by considering the improvement of power systems in power quality and the importance of harmonics in power quality, compensators by minimum harmonic distortion should be designed. In this paper, ORPF is executed in two stages. At First stage, a genetic algorithm with a fuzzy fitness model employed to solve this multi objective optimization problem. The entire discrete controlling variable is assumed discretely as their natures in all steps of this stage. Outputs of this stage are values of controlling variable that include compensations values. In Second stage, compensation considering the minimum harmonic production is applied. The issue of harmonic reduction in determining the fire angle of TCR and TSC, that are very important in FACTs, is proposed. Determination of optimum angles for minimizing the total harmonic distortion (THD) is investigated and finally for faster control and decision, Artificial Neural Network (ANN) has been used and satisfactory results have been obtained and to have minimum THD, existence of maximum possible capacitors, if bank of capacitors are employed, for both negative and positive reactive power is calculated

Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy-Genetic

Optimal Reactive Power Flow (ORPF) for improving voltage profile and power loss reduction is very important in power system planning; though its method, constraints, and quality of compensation are very effective. Value of compensator, transformer tap ratio, and generator voltages are assumed as controlling variables. Usually this optimization is accompanied by harmonic production. The most important parameter of reactive power compensators is minimum production of harmonics. Nowadays by considering the improvement of power systems in power quality and the importance of harmonics in power quality, compensators by minimum harmonic distortion should be designed. In this paper, ORPF is executed in two stages. At First stage, a genetic algorithm with a fuzzy fitness model employed to solve this multi objective optimization problem. The entire discrete controlling variable is assumed discretely as their natures in all steps of this stage. Outputs of this stage are values of controlling variable that include compensations values. In Second stage, compensation considering the minimum harmonic production is applied. The issue of harmonic reduction in determining the fire angle of TCR and TSC, that are very important in FACTs, is proposed. Determination of optimum angles for minimizing the total harmonic distortion (THD) is investigated and finally for faster control and decision, Artificial Neural Network (ANN) has been used and satisfactory results have been obtained and to have minimum THD, existence of maximum possible capacitors, if bank of capacitors are employed, for both negative and positive reactive power is calculated

Statistical Analysis of Shunt-FACTS Devices Impact on Power Flow Control

Abstract: In this study, impact of Static VAr Compensator (SVC) on power flow control is studied by statistical indices. For this purpose, several conventional branches of SVC are introduced and their impacts are discuses on active and reactive powers flow control on power systems. Peak and least values used as decision criteria. To compare and discuss the capability of compared SVCs, two statistical indices are used; i.e. Absolute Percentage Error (APE) and Symmetric Mean Absolute Percentage Error (SMAPE). These indices help to result in analysis and extract novel aspect of behavior of SVCs. Simulations have been carried out in MATLAB/SIMULINK environment. In this study, first a general review on lectures about SVC has been done which has four parts; i.e. design, placement, application and modeling, respectively. Then, the most useful branch is chosen

die Gewährleistung der elektromagnetischen Verträglichkeit und einer optimalen Blindleistungskompensation in Elektrostahlwerksnetzen mit nichtlinearen Belastungen unter dem Aspekt der Minimierung der harmonischen Störungen

Es wird die allgemeine Problematik der Blindleistungskompensation der modernen Elektrostahlwerksbelastungen erläutert. Die vom Autor entwickelte neue Methodik der Blindleistungskompensation der Drehstrom-Lichtbogenstahlschmelzofenbelastungen auf der Basis der Analyse der Resonanzerscheinungen liefert einen Komplex von Maßnahmen zur Verminderung der Netzrückwirkungen von hochleistungsstarken Ofenanlagen und gewährleistet die elektromagnetische Verträglichkeit der Stahlwerke mit elektrischen Netzen