@article{oai:kitami-it.repo.nii.ac.jp:00008228,
 author = {小原, 伸哉},
 issue = {154},
 journal = {空気調和・衛生工学会論文集},
 month = {Jan},
 note = {太陽光発電を伴う燃料電池マイクログリッドは,温室効果ガスの排出削減に有効であると考えられる。ただし,太陽光発電の不安定出力を考慮した,運用最適化のための制御技術が必要である。そこで本稿では,通信回線などを通して得られる数値気象情報を使って,マイクログリッドの運用を最適化するアルゴリズムを開発する。本研究では,燃料消費量の最小化目的を伴うGA(遺伝的アルゴリズム)による運用計画のアルゴリズムを開発した。さらに,数値気象情報と実際の気象の誤差の大きさと,運用計画および燃料消費量の違いについて明らかにした。数値気象情報を用いた運用最適化は,従来方法と比べておよそ1割の燃料消費量を削減できることがわかった。
An energy supply system using a microgrid constitutes the optimal system for energy demand. Therefore, its use as a clean energy supply technique is expected to spread. A microgrid using a PEFC (proton exchange membrane fuel cell) may become the mainstream of future distributed energy. In addition, the application of green energy to a microgrid is desired. Accordingly, this paper examines the PEFC and a photovoltaics compound system. Power can be supplied to a grid from each PEFC and photovoltaic component in this system. The hydrogen supply method to the PEFC assumes that the steam reforms the LPG (liquefied petroleum gas). However, the power generation output characteristics and PEFC exhaust heat with a steam reformer are nonlinear with a load factor. Furthermore, although the power and exhaust heat of the proposed system are utilized effectively, battery installation and a heat storage tank are planned. Consequently, the operation plan of the proposed microgrid must be optimized as a nonlinear system considering electricity and heat storage. Concerning operation optimization of a nonlinear system with heat storage, we have summarized the use of a GA (genetic algorithm). In addition, it is necessary to predict unstable photovoltaic electricity production for every sample time while optimizing operation of a compound microgrid with a PEFC and photovoltaics. Accordingly, numerical weather information is used to predict photovoltaic electricity production. Anyone can obtain numerical weather information in Japan through the Internet. However, there is an error in the photovoltaic electricity production calculated using numerical weather information compared to using the actual meteorological data. Consequently, the operation plan of the system using the numerical weather information differs from operation under actual weather. The cause of this difference in operation is not addressed in this paper. Instead, the relation between the numerical weather information error and the operation results of the system is clarified. It is shown that installing the operation optimization algorithm using numerical weather information is important for operation of a PEFC microgrid with photovoltaics. The objective of this study is to develop an analysis algorithm to optimize operation of a PEFC microgrid with green energy.},
 pages = {31--41},
 title = {数値気象情報による発電量予測を伴う太陽光発電-PEFC複合マイクログリッドの運用計画},
 year = {2010}
}