Bi-level decision-making approach for planning electric power systems under stochastic-interval-parameter uncertainty
- 10.2991/asei-15.2015.251How to use a DOI?
- Bi-level programming, electric power systems, uncertainty, stochastic.
This study develops an inexact stochastic bi-level programming model (ISBPM) for planning electric power systems (EPS) under uncertainty. ISBPM is formulated based on interval-parameter programming (IPP), stochastic mathematical programming (SMP) and bi-level linear programming (BLP). In the ISBPM framework, IPP and SMP are useful in dealing with parameters expressed as interval and stochastic values, and BLP can address the Leader-Follower problem with environmental target at the upper-level and economic target at the lower-level. Then, the developed model is applied to an actual case of EPS in Fengtai District, Beijing, China. Results can provide non-compromised schemes with consideration preferences of the two decision-makers. The integrated targets of economy and environment would be also achieved.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yizhong Chen AU - Li He AU - Xi Cheng AU - Jing Li AU - Hongwei Lu PY - 2015/05 DA - 2015/05 TI - Bi-level decision-making approach for planning electric power systems under stochastic-interval-parameter uncertainty BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1279 EP - 1282 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.251 DO - 10.2991/asei-15.2015.251 ID - Chen2015/05 ER -