標題: | Robust economic optimization and environmental policy analysis for microgrid planning: An application to Taichung Industrial Park, Taiwan |
作者: | Yu, Nan Kang, Jin-Su Chang, Chung-Chuan Lee, Tai-Yong Lee, Dong-Yup 經營管理研究所 Institute of Business and Management |
關鍵字: | Robust economic optimization;Decision-making support tool;Microgrid planning;Taichung industrial |
公開日期: | 15-十月-2016 |
摘要: | This study aims to provide economical and environmentally friendly solutions for a microgrid system with distributed energy resources in the design stage, considering multiple uncertainties during operation and conflicting interests among diverse microgrid stakeholders. For the purpose, we develop a multi-objective optimization model for robust microgrid planning, on the basis of an economic robustness measure, i.e. the worst-case cost among possible scenarios, to reduce the variability among scenario costs caused by uncertainties. The efficacy of the model is successfully demonstrated by applying it to Taichung Industrial Park in Taiwan, an industrial complex, where significant amount of greenhouse gases are emitted. Our findings show that the most robust solution, but the highest cost, mainly includes 45% (26.8 MW) of gas engine and 47% (28 MW) of photovoltaic panel with the highest system capacity (59 MW). Further analyses reveal the environmental benefits from the significant reduction of the expected annual CO2 emission and carbon tax by about half of the current utility facilities in the region. In conclusion, the developed model provides an efficient decision-making tool for robust microgrid planning at the preliminary stage. (C) 2016 Elsevier Ltd. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.energy.2016.07.066 http://hdl.handle.net/11536/132629 |
ISSN: | 0360-5442 |
DOI: | 10.1016/j.energy.2016.07.066 |
期刊: | ENERGY |
Volume: | 113 |
起始頁: | 671 |
結束頁: | 682 |
顯示於類別: | 期刊論文 |