Bi-level decision-making approach for planning electric power systems under stochastic-interval-parameter uncertainty

DOI

10.2991/asei-15.2015.251How to use a DOI?

Keywords

Bi-level programming, electric power systems, uncertainty, stochastic.

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -