Open AccessTwo-stage Planning of Integrated Energy System Considering Investment Flexibility
Author(s) -
Yue Qiu,
Xiaolei Ying,
Chuanxun Pei,
Yunhui Fang,
Fangxin Yue,
Suyang Zhou,
Wei Gu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1346/1/012029
Subject(s) - flexibility (engineering) , energy planning , monte carlo method , renewable energy , computer science , mathematical optimization , energy (signal processing) , investment (military) , stage (stratigraphy) , operations research , engineering , mathematics , statistics , paleontology , electrical engineering , politics , political science , law , biology
The Integrated Energy System (IES) can optimize the utilization of various forms of energy and effectively alleviate the problems of energy exhaustion and environmental pollution. A two-stage planning model of IES that considers the uncertainty of renewable energy and the flexibility of investment is proposed in this paper. The planning period is divided into two stages in terms of varying degrees of uncertainty based on Monte Carlo simulation. In terms of economic, technical, and environmental performance, the two-stage planning method is proved to be better than conventional single planning method. The proposed algorithm shows the superiority of multi-stage planning. In addition, it can be used for the planners to comprehensively analyze and compare the optimal decision-making schemes generated by different combinations of weight factors.