Adaptive Neuro Fuzzy Inference Based On HVDC Control
This paper presents computationally simpleand accurate expert systemfor Control of HVDCsystem. Adaptive Neuro-Fuzzy Inference System(ANFIS) is applied anddiscussed in detail. ANFIS based current control isalso developed for aHVDCsystem. The procedure isoutlined in the paper.ANFIS based control can be easily combined withthe fault identifier to formintegrated system, whichcan improve dynamicresponse of HVDC systems.Fuzzy system, Adaptiveneuro-fuzzy inference system (ANFIS),genetic algorithm, etc. have metgrowing interest in many industrialapplications. The past two decadeshave revealed great advances in theapplication of artificial intelligence to power systems. A trend that is growingin visibility relates to the use of fuzzylogic in combination with neuro-computing and genetic algorithms.More generally, fuzzy logic, neuro-computing, and genetic algorithms may be viewed as the principal constituentsof what might be called soft computing.Unlike the traditional hard computing,soft computing is aimed at anaccommodation with the pervasiveimprecision of the real world. Number of papers are available that deal withthe application of artificial intelligencein the area of power systems
This paper presents computationally simpleand accurate expert systemfor Control of HVDCsystem. Adaptive Neuro-Fuzzy Inference System(ANFIS) is applied anddiscussed in detail. ANFIS based current control isalso developed for aHVDCsystem. The procedure isoutlined in the paper.ANFIS based control can be easily combined withthe fault identifier to formintegrated system, whichcan improve dynamicresponse of HVDC systems.Fuzzy system, Adaptiveneuro-fuzzy inference system (ANFIS),genetic algorithm, etc. have metgrowing interest in many industrialapplications. The past two decadeshave revealed great advances in theapplication of artificial intelligence to power systems. A trend that is growingin visibility relates to the use of fuzzylogic in combination with neuro-computing and genetic algorithms.More generally, fuzzy logic, neuro-computing, and genetic algorithms may be viewed as the principal constituentsof what might be called soft computing.Unlike the traditional hard computing,soft computing is aimed at anaccommodation with the pervasiveimprecision of the real world. Number of papers are available that deal withthe application of artificial intelligencein the area of power systems
