リコース付き確率混合整数計画法によるスマートハウスの運用最適化

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  • A Two-Stage Stochastic Mixed-Integer Programming Approach to the Smart House Scheduling Problem
  • リコース ツキ カクリツ コンゴウ セイスウ ケイカクホウ ニ ヨル スマートハウス ノ ウンヨウ サイテキカ
  • A Two‐Stage Stochastic Mixed‐Integer Programming Approach to the Smart House Scheduling Problem

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説明

A “Smart House” is a highly energy-optimized house equipped with photovoltaic systems (PV systems), electric battery systems, fuel cell cogeneration systems (FC systems), electric vehicles (EVs) and so on. Smart houses are attracting much attention recently thanks to their enhanced ability to save energy by making full use of renewable energy and by achieving power grid stability despite an increased power draw for installed PV systems. Yet running a smart house's power system, with its multiple power sources and power storages, is no simple task. In this paper, we consider the problem of power scheduling for a smart house with a PV system, an FC system and an EV. We formulate the problem as a mixed integer programming problem, and then extend it to a stochastic programming problem involving recourse costs to cope with uncertain electricity demand, heat demand and PV power generation. Using our method, we seek to achieve the optimal power schedule running at the minimum expected operation cost. We present some results of numerical experiments with data on real-life demands and PV power generation to show the effectiveness of our method.

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