| Project/Area Number |
06650333
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
電力工学・電気機器工学
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| Research Institution | Hokkaido Institute of Technology |
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Principal Investigator |
NISHIYA Ken-ichi Hokkaido Institute of Technology Department of Electrical Engineering, Professor, 工学部, 教授 (30002033)
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| Project Period (FY) |
1994 – 1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1995: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 1994: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | Power Systems / System Operation / System Planning / State Estimation / Economic Load Dispatch / Unit Commitment / Hierarchicla System / Energy Storage System |
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| Research Abstract |
The main purposes of this research are to establish hierarchical structures in power systems operation and plannning, and to develop algorithms for typical problems. Firstly, the function of state estimation was decomposed so as to be applied the goal coordination theory. It should be noted that this approach has excellent characteristics from the viewpoint of the accuracy, although coordinations between the upper level and subsystems are approximated one. For the daily load dispatching problems a new dynamic algorithm was developed considering the rate constraints of generaring units, which is of much practical use because of simplicity. Further, this method was incorporated into operation problems of energy storage systems by using Kuhn-Tucker theory to constitute a two-level hierarchical structure. As a result of numerical examples, it is emphasized that storage systems will have more important roles in the future power systems. As well as the load dispatching among thermal units, the problem of unit commitment should be optimized in short-term planning. However, this optimization must be also coordinated to long-term planning in which the constraints on energy consumption are included in addition to various conditions. The developed approach is also hierarchical one and is available for power system operators. Finally, neural networks were applied to typical operation problems and Fuzzy theory was also utilized to long-term planning of power systems.
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