Studies on Calculation of a Set of the Pareto Solutions for Multi-objective Optimization in Transmission Network Expansion Planning with the Uncertainties
| Project/Area Number |
23560342
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Power engineering/Power conversion/Electric machinery
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| Research Institution | Meiji University |
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Principal Investigator |
MORI Hiroyuki 明治大学, 総合数理学部, 教授 (70174381)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 多目的最適化 / 進化的計算 / メタヒューリスティクス / パレート解 / 送電ネットワーク拡張計画 / 確率的供給信頼度 / 不確定性 / モンテカルロシミュレーション / 送電ネットワーク / 拡張計画 / Memetic Algorithm / 階層的最適化 / ネットワーク |
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| Research Abstract |
In this project, transmission network expansion planning methods have been studied with multi-objective metaheuristics that calculates a set of the Pareto solutions in multi-objective optimization problems. To improve the performance of multi-objective metaheuristics, this project proposed a sort of Memetic Algorithm that integrates multi-objective metaheuristics of the GA-based method with metaheuristics. The former was used to evaluate a set of the Pareto solutions while the latter was utilized to improve the obtained Pareto solution set. Also, probabilistic power supply reliability index EENS (Expected Energy Not Supplied) was considered to deal with the uncertainties due to the changes of load and/or renewable energy such as wind firms in transmission networks. Furthermore, the network decomposition methods were studied to obtain the optimal subnetworks efficiently.
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Report
(4 results)
Research Products
(34 results)
