Open AccessPOWER OSCILLATION CONTROL IN POWER SYSTEM BY ANFIS BASED UNIFIED POWER FLOW CONTROLLER ALONG WITH STABILIZATION
Author(s) -
Dharmendra Kumar Singh Chitrasen Gabel*
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.221002
Subject(s) - control theory (sociology) , power (physics) , oscillation (cell signaling) , controller (irrigation) , power flow , electric power system , power control , unified power flow controller , adaptive neuro fuzzy inference system , control engineering , control (management) , computer science , engineering , physics , fuzzy control system , fuzzy logic , chemistry , artificial intelligence , quantum mechanics , agronomy , biology , biochemistry
In the present era, the power system has become a vital part to provide stability enhancement. The stability of a power system depends on how low frequency disturbances which are typically in the frequency range of 0.2 to 3.0 Hz, accurately find out and cleared so that quick restoration and maintains a stability enhancement of power is accomplished. Loss of synchronism and stability enhancement are needs to be performed using ANFIS controlled based excitation of power system [3]. The significant factors which affect the operation of power system during the occurrence of low frequency disturbances are mainly; Loss of synchronism which might be excited by the disturbances in the system or, in some cases, might even build up spontaneously. These factors can be analyzed to find out the occurrence of the low frequency disturbance in the power line operation. Various techniques like Power System Stabilizer with algorithm based or logic controlled based, UPFC has been used in past to find out and cleared the different low frequency disturbances occurred in the transmission line. The proper selection of enhanced feedback is a very tedious and time consuming task and also requires brief knowledge of the system configuration. To avoid the drawbacks of conventional power system stabilizer with algorithm or logic controller based techniques, this dissertation proposed, an efficient and robust technique of stability enhancement using ANFIS based power system excitation. The advantage of the proposed technique is that; it improves the overshoot of power and reduced the time for low frequency oscillations [1]. The ANFIS based stability enhancement accuracy of proposed technique has been verified using MATLAB/Simulink 2013(a) software. The obtained results show that the proposed technique is efficient in stability enhancement of all type of loss of synchronism and hence reliable tool for low frequency disturbance occurred in power system