メタヒューリスティクスを用いたCGS及び複数蓄エネルギー設備を含むエネルギーシステムの多目的非線形最適化手法の開発

DOI Web Site Web Site 被引用文献1件 参考文献8件
  • 池田 伸太郎
    東京大学大学院工学系研究科建築学専攻　博士課程　／日本学術振興会特別研究員　DC
  • 大岡 龍三
    東京大学生産技術研究所　教授・博士（工学）

書誌事項

タイトル別名
  • DEVELOPMENT OF A METAHEURISTIC NONLINEAR MULTI-OBJECTIVE OPTIMIZATION METHOD FOR OPERATING ENERGY SYSTEMS INCLUDING CGSAND ENERGY STORAGE SYSTEMS
  • メタヒューリスティクス オ モチイタ CGS オヨビ フクスウチクエネルギー セツビ オ フクム エネルギー システム ノ タモクテキ ヒセンケイ サイテキ カ シュホウ ノ カイハツ

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 Co-generation systems (CGS) and energy storage equipment, such as batteries and thermal energy storage (TES), have become increasingly important recently for improving energy efficiency and for adjusting or reducing peak loads of energy systems. However, optimization of operating schedules of such energy storage equipment is difficult due to its parameter dependency. In addition, a nonlinear characteristics of recent heat-source machines have made the problem more difficult. Therefore, we applied an efficient optimization method, εDE (epsilon constrained differential evolution) for single objective optimization, to minimize operating costs. Moreover, we proposed εMODE (epsilon constrained multi-objective differential evolution) to solve the complex trade-off problem (costs vs primaryenergy consumption). Each result showed that these methods could provide the optimum solution in a practical time, even if the problem had a lot of decision variables that were nonlinear. In particular, εMODE could carry out a lot of non-dominated solutions without concentrating on a certain position and generating dominated solutions.

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