1989 Fiscal Year Final Research Report Summary
Application of knowledge engineering for decomposition and parallel processing in power systems
| Project/Area Number |
62420029
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| Research Category |
Grant-in-Aid for General Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
電力工学
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| Research Institution | The University of Tokyo |
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Principal Investigator |
SEKINE Y. The Univ. of Tokyo, Engineering, Professor, 工学部, 教授 (00010702)
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| Co-Investigator(Kenkyū-buntansha) |
ITOU H. The Univ. of Tokyo, Engineering, Assistant, 工学部, 助手 (50010921)
OSANO M. The Univ. of Tokyo, Engineering, Assistant, 工学部, 助手 (80107565)
YOKOYAMA A. The Univ. of Tokyo, Engineering, Assistant Professor, 工学部, 助教授 (30174866)
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| Project Period (FY) |
1987 – 1989
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| Keywords | Power system / Knowledge engineering / Autonomous decentralized control / Parallel processing / System decomposition / Transient stability / Coherency / Dominant modes |
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| Research Abstract |
As a result of rapid growth and interconnection of electric power systems, various analysis related to them have become costly and time consuming processes as well as the fault tolerance capacity of the system has been reduced resulting a higher risk of total blackout. One way to over come this problem is employment of knowledge engineering based autonomous decentralized type control scheme which requires efficient decomposition of the system and parallel computation within each subsystem.
Keeping the autonomous decentralized control as the main objective, research was carried out in various directions. They can be divided into following three topics mainly. (1) Non-uniform decomposition of power systems for parallel processing: This work developed a method which is different from the existing methods which are mainly based on uniform decomposition. But this method is proven to be more efficient than the existing methods. (2) Building an expert system using object oriented knowledge representation to restore power systems: This work developed a method to restore power systems by changing over transmission lines when they are over loaded. Object oriented knowledge representation makes it possible to represent power systems in a very natural way, to process data in parallel and to increase software productivity. (3) Identification of coherent machines and grouping them to construct equivalents: An efficient method which is based on modal analysis, to identify coherent machine groups in power systems was developed. This enables to construct a simplified model for the external part of a particular sub system. Hence reducing the computational time and memory requirement for various analysis related to each sub system.
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