Knowledge based Power Systems Steady State Diagnosis. Basic concepts, software and case study.
ABSTRACT The paper describes an expert system for the power systems steady state diagnosis (PSSD). After the introduction, the second section presents the theoretical background regarding the applying of the model based diagnosis (MBD) to the power systems steady state operation. Basic concepts and the MBD models for the discussed case are given. Within the third section, the PSSD structure and its components are presented. Database, knowledge base and user interface are described. The main functors and rules implemented in the Prolog language are given. The forth section presents a case study for a 50 buses test power system, followed by conclusions.
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ABSTRACT: This paper introduces a new framework for expert systems, fully integrated into a SCADA/EMS real time control software, whose main goal is to support the creation of new applications without demanding the developing of additional rule processing software. In order to validate this framework, two applications that address the daily needs of control centers were developed: SISPRO (alarm processing system) and RECOMP (power systems restoration support system). Results show that this tool allows for quicker problem solving, error reduction and operator capacity increase.Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on; 12/2007
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ABSTRACT: This paper proposes an expert system using fuzzy relations to deal with uncertainties imposed on fault section diagnoses of power systems. The authors build sagittal diagrams which represent the fuzzy relations for power systems, and diagnose fault sections using the sagittal diagrams. Next, they examine the malfunction or false alarms of relays and circuit breakers based on the alarm information and the estimated fault section. The proposed system provides the fault section candidates in terms of the degree of membership and the malfunction or false alarm. An operator monitors these candidates and is able to diagnose the fault section, coping with uncertainties. Experimental studies for real power systems reveal the usefulness of the proposed technique to diagnose faults that have uncertaintyIEEE Transactions on Power Systems 03/1997; DOI:10.1109/59.574957 · 3.53 Impact Factor
Conference Paper: Fault analysis expert system for power system[Show abstract] [Hide abstract]
ABSTRACT: Internet not only brings opportunities to power utilities, but also takes challenges. By virtue of internet and data warehouse, we developed support software which collected and stored data from devices in substations such as relay protect devices, dynamic process recorder and so on. Based on intelligent agent theory, knowledge discovery theory & rough set theory, we developed a distributed intelligent system (Fault Analysis Expert System based on Intelligent Agent), which can analyze reasons that cause any failures. In the system, intelligent agent is the distributed intelligent unit providing services for other units; knowledge discovery theory based on rough set theory can acquire and optimize rules from fact information.Power System Technology, 2004. PowerCon 2004. 2004 International Conference on; 12/2004