Shinta FUKUI - Academia.edu (original) (raw)
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Papers by Shinta FUKUI
Proceedings of the IEEE, 1992
IEEE Transactions on Power Systems, 1994
This paper describes an advanced restoration support system for regional load dispatching and loc... more This paper describes an advanced restoration support system for regional load dispatching and local supervisory control centers. A model-based diagnostic task shell is applied to diagnose network faults, and an inference algorithm not dependent on a specific power system has been developed exclusively for restoration plan determination. With this system, adjustments for network fault diagnosis, necessitated by power system facility expansion or alteration, can be made simply by adding or changing models. Restoration knowledge can be partially revised in the case of restoration policy change. Connected on-line to an operator training simulator, this system's restoration support performance has been verified through daily restoration training. In this process, several problems of the system were detected and corrected. Consequently, it has become possible for the system to support restoration almost as well as a trainee, thereby confirming that connecting this system to an operator training simulator is an effective method for both verifying and improving restoration support system performance. >
IEEE Transactions on Power Systems, 1995
This paper describes a fault diagnostic system using a diagnostic expert system shell, MELDASH, a... more This paper describes a fault diagnostic system using a diagnostic expert system shell, MELDASH, and results that confirm its effectiveness. The diagnostic shell that reflects and makes use of nature of model-based diagnosis is developed to overcome the drawbacks of methods that depend on operator knowledge. A high-performance fault diagnostic system is constructed by adding an application model to the diagnostic shell. A prototype system is verified by adding an application model to the diagnostic shell. A prototype system is verified by connecting it to an operator training simulator. It is able to make a proper diagnosis in 79 difficult cases. Verification results show that the prototype system has sufficient accuracy. The authors confirm the effectiveness of this fault diagnostic method for future energy management systems. >
IEEJ Transactions on Power and Energy, 2013
IEEE Power and Energy Magazine
APSCOM-97. International Conference on Advances in Power System Control, Operation and Management
IEEJ Transactions on Power and Energy
IEEJ Transactions on Power and Energy, 2006
2014 Power Systems Computation Conference, 2014
Proceedings of the IEEE, 1992
IEEE Transactions on Power Systems, 1994
This paper describes an advanced restoration support system for regional load dispatching and loc... more This paper describes an advanced restoration support system for regional load dispatching and local supervisory control centers. A model-based diagnostic task shell is applied to diagnose network faults, and an inference algorithm not dependent on a specific power system has been developed exclusively for restoration plan determination. With this system, adjustments for network fault diagnosis, necessitated by power system facility expansion or alteration, can be made simply by adding or changing models. Restoration knowledge can be partially revised in the case of restoration policy change. Connected on-line to an operator training simulator, this system's restoration support performance has been verified through daily restoration training. In this process, several problems of the system were detected and corrected. Consequently, it has become possible for the system to support restoration almost as well as a trainee, thereby confirming that connecting this system to an operator training simulator is an effective method for both verifying and improving restoration support system performance. >
IEEE Transactions on Power Systems, 1995
This paper describes a fault diagnostic system using a diagnostic expert system shell, MELDASH, a... more This paper describes a fault diagnostic system using a diagnostic expert system shell, MELDASH, and results that confirm its effectiveness. The diagnostic shell that reflects and makes use of nature of model-based diagnosis is developed to overcome the drawbacks of methods that depend on operator knowledge. A high-performance fault diagnostic system is constructed by adding an application model to the diagnostic shell. A prototype system is verified by adding an application model to the diagnostic shell. A prototype system is verified by connecting it to an operator training simulator. It is able to make a proper diagnosis in 79 difficult cases. Verification results show that the prototype system has sufficient accuracy. The authors confirm the effectiveness of this fault diagnostic method for future energy management systems. >
IEEJ Transactions on Power and Energy, 2013
IEEE Power and Energy Magazine
APSCOM-97. International Conference on Advances in Power System Control, Operation and Management
IEEJ Transactions on Power and Energy
IEEJ Transactions on Power and Energy, 2006
2014 Power Systems Computation Conference, 2014