An Adaptive Neuro-Fuzzy Inference Distributed Power Flow Controller (DPFC) In Multi-Machine Power Systems
نویسندگان
چکیده
منابع مشابه
an indirect adaptive fuzzy sliding mode controller for stabilization of multi-machine power systems
this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...
متن کاملEffect of Distributed Power-Flow Controller (DPFC) on Power System Stability
Distributed flexible AC- transmission system (D-FACTS) is a recently advanced FACTS device with high flexibility and smaller size. The DPFC can control power flow in transmission lines, regulate bus voltages and it can also enhance stability margin in power grids. Adaptive-neural network-based fuzzy inference system (ANFIS) combines features of artificial neural network and fuzzy controller. Th...
متن کاملComarision Of Distributed Power-Flow Controller (DPFC) And Generalized Unified Power Flow Controller (GUPFC) In Power Quality Improvement
The present paper describes the steady-state response and control of power in transmission line equipped with FACTS devices. Detailed simulations are carried out on two-machine systems to illustrate the control features of these devices and their influence to increase power transfer capability and improve system reliability. The DPFC is derived from the unified power-flow controller (UPFC) and ...
متن کاملTransient Stability Improvement in Power Systems Using an Adaptive Neuro-Fuzzy Based Intelligent Controller
This paper proposes a Neuro-Fuzzy Controller to Thyristor Controlled Series Capacitor (TCSC), which might have a significant impact on power system dynamics. We tune the scaling factors of neuro-fuzzy controller using adaptive critic. The proposed method is used for damping the low frequency oscillations caused by disturbances such as a sudden change of small or large loads or an outage in the ...
متن کاملHybrid Neuro-Fuzzy controller based Adaptive Neuro-Fuzzy Inference System Approach for Multi-Area Load Frequency Control of Interconnected Power System
This paper concentrated on the design and analysis of Neuro-Fuzzy controller based Adaptive Neuro-Fuzzy inference system (ANFIS) architecture for Load frequency control of interconnected areas, to regulate the frequency deviation and power deviations. Any mismatch between generation and demand causes the system frequency to deviate from its nominal value. Thus high frequency deviation may lead ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems (IJPEDS)
سال: 2014
ISSN: 2088-8694,2088-8694
DOI: 10.11591/ijpeds.v5i2.6311