Applications of Stochastic Programming to Electric Power Industry

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  • SHIINA Takayuki
    System Engineering Research Laboratory Central Research Institute of Electric Power Industry

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  • 電気事業への確率計画法の応用
  • デンキ ジギョウ エ ノ カクリツ ケイカクホウ ノ オウヨウ

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Abstract

Mathematical programming has been applied to various fields in everyday life. However for many actual problems, the assumption that the parameters involved in the problem are deterministic known data is often unjustified. These data contain uncertainty and are thus represented as random variables, since they represent information about the future. Decision-making under conditions of uncertainty involves potential risk. In this paper, we consider a stochastic programming problem in which some parameters are defined as random variables. The electric power industry is undergoing restructuring and deregulation, and it is necessary to incorporate uncertainties such as the level of electric power demand and availability of power generators into the optimization problem in the electric power industry. The purpose of this paper is to show algorithms to solve stochastic programming problems and their applications to optimization problems in the electric power industry. These examples clearly show stochastic programming to be very valuable for solving the optimization problem in the electric power industry.

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