遺伝アルゴリズムを応用した蓄熱型地域冷暖房プラントの最適運転計画

DOI Web Site Web Site 被引用文献1件 参考文献6件

書誌事項

タイトル別名
  • Developement of Optimal Planning Method Using a Genetic Algorithm for District Heating and Cooling Plants with Heat Storage Tanks.
  • イデン アルゴリズム オ オウヨウシタ チクネツガタ チイキ レイダンボウ プ

この論文をさがす

抄録

Recently, district heating and cooling (DHC) plants with heat storage tanks have become common. But the optimization of the operational planning for these systems requires much computation time. In this paper, an optimal planning method for operation of these systems using a genetic algorithm (GA) was proposed. The proposed method has three new characteristics. Firstly, the optimization of DHC plant operation schedule to minimize both running costs and the dynamic load variation can be obtained. Secondly, it makes the search for optimal value more effective to use operator's know-how. Lastly, the probabilities of “crossover” and “mutation” can be changed dynamically to avoid converging to a local minimum value. Simulations demonstrated that the proposed method gives ten times faster computation time of dynamic programing needed to obtain the minimum operation cost and small load variation.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (6)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ