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Intelligent-Based Anti-Islanding Methods in Distributed Generation
, M.Sc. Thesis Sharif University of Technology ; Ranjbar, Ali Mohammad (Supervisor)
Abstract
Islanding detection methods are divided into three main groups as remote, active and passive. Although passive schemes have larger Non Detection Zones (NDZ) relative to other schemes, they are more used in utilities due to their low costs and less PQ problems than in other schemes. Passive Schemes are based on the measurements of passive system parameters. These parameters are measured at the point of common coupling (PCC). A new approach in passive techniques is the use of data-mining to classify the system parameters which affect the islanding detection. Therefore, by finding an efficient and robust data-mining algorithm, the inherent problem of passive schemes, which is their relatively...
A novel SVM approach of islanding detection in micro grid
, Article 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012, 21 May 2012 through 24 May 2012 ; May , 2012 ; 9781467312219 (ISBN) ; Sheikholeslamzadeh, M ; Ranjbar, A. M ; Mozafari, B ; Sharif University of Technology
2012
Abstract
Passive islanding detection schemes are more used in utilities due to their low costs and less harmonic problems although having larger Non Detection Zones (NDZ) relative to other schemes. Passive system measurements at the point of common coupling (PCC) are the basis of this scheme. A new approach in passive techniques is the use of intelligent based methods in data-mining to classify the system parameters which affect the islanding detection. As a result, by finding an efficient and robust data-mining algorithm, the passive schemes problem, which is their relatively large NDZ, will be minimized. In this paper, massive measurements are collected by simulation of IEEE standard distribution...
Neuro-fuzzy islanding detection in distributed generation
, Article 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012, 21 May 2012 through 24 May 2012 ; May , 2012 ; 9781467312219 (ISBN) ; Sheikholeslamzadeh, M ; Ranjbar, A. M ; Mozafari, B ; Sharif University of Technology
2012
Abstract
Islanding detection methods are divided into three main groups as remote, active and passive. Although passive schemes have larger Non Detection Zones (NDZ) relative to other schemes, they are more used in utilities due to their low costs and less PQ problems than other schemes. Passive Schemes are based on the measurements of passive system parameters. These parameters are measured at the point of common coupling (PCC). A new approach in passive techniques is the use of data-mining to classify the system parameters. In this paper, massive indices are collected by simulation of a practical distribution system in PSCAD/EMTP environment. These indices include voltage, frequency, current,...
Generalization of the Online Prediction Problem Based on Expert Advice
, M.Sc. Thesis Sharif University of Technology ; Foroughmand Araabi, Mohammad Hadi (Supervisor) ; Alishahi, Kasra (Co-Supervisor) ; Hosseinzadeh Sereshki, Hamideh (Co-Supervisor)
Abstract
One of the most important problems in online learning is a prediction with expert advice. In each step we make our prediction not only based on previous observation but also use expert information. In this thesis, we study the different well-known algorithms of expert advice and generalize problems when data arrival is in the two-dimensional grid. regret is a well-studied concept to evaluate online learning algorithm. online algorithm when data arrive consecutively in T time step has regret O (√(T)) . regret in two-dimensional grid with T row and P column is O(T√(P)).
2010 MSC: 68Q32 ; 68T05 ; 90C27
2010 MSC: 68Q32 ; 68T05 ; 90C27