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TS Fuzzy Prediction-based SVC Compensation of Wind Farms Flicker:A Dual-UKF Approach

CSEE Journal of Power and Energy Systems 2022年第6期8卷 1594-1602页

作者： Saeedeh Ketabipour haidar samet Navid Vafamand School of Electrical and Computer Engineering Shiraz UniversityShirazIran Department of Electrical Engineering Eindhoven University of TechnologyEindhoventhe Netherlands

Fast fluctuations in wind farm power produce voltage flicker in the *** way to mitigate the flicker is to place a static VAr compensator(SVC).Due to the operating delay of SVCs,it is essential to predict the wind farm reactive ***,a novel fuzzy nonlinear modeling approach is suggested and used in the one-step-ahead prediction of the power *** base of the developed fuzzy modeling is the Takagi-Sugeno fuzzy representation and a dual-unscented Kalman filter(D-UKF).In other words,a nonlinear TS fuzzy system is trained online via the *** forecasted value is used as the SVC’s reference signal.A large amount of actual data gathered from a wind farm is used for the performance *** data is collected in winter and summer for different climate *** the actual data,a current source with changing amplitude and phase which is updated every half-cycle,is used to model the wind *** results,including the flicker indices,confirm the improvement in the SVC’s performance.

关键词： SVC voltage flicker wind farm

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Effective Controlled Islanding Method for Power Grids Solving a Sequence of Optimization Problems

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1004-1012页

作者： Mahdi Amini haidar samet Ali Reza Seifi Mahdi Davarpanah School of Electrical and Computer Engineering Shiraz UniversityShirazIran Department of Electrical Engineering Eindhoven University of TechnologyEindhoventhe Netherlands the Electrical and Computer Engineering School College of EngineeringUniversity of TehranTehranIran

Controlled islanding is an important approach to prevent instability in power *** this paper,a novel approach is proposed for power system separation,which consists of two steps:1)Finding multiple islanding scenarios;2)Choosing the best option to obtain the most desirable *** the first step,different islanding solutions are determined by a proposed hierarchical clustering *** this algorithm,which is based on a minimum active power flow disruption objective function,the generator coherency constraints are considered in the clustering *** the second step,the best separation scenario is chosen based on an arbitrary objective ***,in this paper,the amount of load shedding and the voltage profile deviation after separation are considered as the final criteria to select the best solution among available *** so doing,the degree of load importance is also taken into *** proposed two-step method is applied on an IEEE 9-bus test system and it is also evaluated on an IEEE 39-bus *** simulation results on the IEEE 39-bus grid and the comparative analysis with a state-of-the-art method confirm that the final islanding solution is more optimized based on the secondary criteria,which have not been addressed in the existing ***,the proposed method is computationally efficient and can be employed in real-scale power grids.

关键词： Graph theory hierarchical spectral clustering power system separation power system instability two-step approach.

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k-NN based fault detection and classification methods for power transmission systems

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Protection and Control of Modern Power Systems 2017年第1期2卷 359-369页

作者： Aida Asadi Majd haidar samet Teymoor Ghanbari School of Electrical and Computer Engineering Shiraz UniversityShirazIran

This paper deals with two new methods,based on k-NN algorithm,for fault detection and classification in distance *** these methods,by finding the distance between each sample and its fifth nearest neighbor in a predefault window,the fault occurrence time and the faulty phases are *** maximum value of the distances in case of detection and classification procedures is compared with pre-defined threshold *** main advantages of these methods are:simplicity,low calculation burden,acceptable accuracy,and *** performance of the proposed scheme is tested on a typical system in MATLAB *** possible fault types in different fault resistances,fault inception angles,fault locations,short circuit levels,X/R ratios,source load angles are *** addition,the performance of similar six well-known classification techniques is compared with the proposed classification method using plenty of simulation data.

关键词： Short circuit faults Fault detection Fault classification K nearest neighbor algorithm

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