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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.

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