日本建築学会環境系論文集
Online ISSN : 1881-817X
Print ISSN : 1348-0685
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
池田 伸太郎大岡 龍三
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81 巻 (2016) 719 号 p. 101-110

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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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