The Application of Fuzzy Dynaimic Programming to Power System Planning and Operation Problems

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概要

• 論文の詳細を見る

• This paper presents a new fuzzy dynamic programming technique for solving multistage decision problems in power system operation. It uses a fuzzy decision process called the preference factor, which equates the mathematical preference of one decision function with respect to another. To investigate its validity, it was applied to the hydrothermal scheduling problem, which offers an ideal application for dynamic programming. Results showed that this technique produces an operating band giving solution flexibility.

• 社団法人日本オペレーションズ・リサーチ学会の論文
• 1995-10-16

著者

• Gibson Graeme

  Contact Energy Nz Ltd

• Kita Hiroyuki

  Hokkaido Uraiversity

• Hasegawa Jun

  Hokkaido University

• NISHIYA Ken-ichi

  Hokkaido Institute of Technology

• GIBSON Graeme

  Hokkaido University

関連論文

• A Hybrid Evolutionary Programming Technique with Applications to Electric Power Generation System
• An Evolutionary Programming Solution to the Unit Commitment Problem
• Fuel Constrained Unit Scheduling in Power Systems using an Adaptive Strategy
• Voltage Regulation Methods Based on an Extended Approach and Neural Networks for Distribution Systems Interconnected with Dispersed Storage and Generation Systems
• REACTIVE POWER SUPPLIERS OPERATION USING A GENETIC ALGORITHM
• A New Fuzzy Dynamic Programming Approach for Solving the Hydrothermal Scheduling Problem
• The Application of Fuzzy Dynaimic Programming to Power System Planning and Operation Problems
• An Investigation of the Suitability of Fuzzy Dynamic Programming Techniques for Power System Operation Problems
• REACTIVE POWER SUPPLIERS CONTROL USING A GENETIC ALGORITHM

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