An interval parameter optimization model for sustainable power systems planning under uncertainty

•An interval-parameter mixed-integer power management systems model was developed.•The systems enhanced hydro-storage and wind-power generation modules.•The modules enabled an in-depth analysis of sustainable energy development.•The model used a combined of wind- and hydro-storage power generation facilities.•It would help mitigate the negative impacts of intermittency of renewable energy.

The transition of today’s energy system to more sustainable production, transmission and uses of power is a complex and long-term process, involving a large number of social, economic, environmental, technical and political factors being uncertain. In this study, an interval-parameter mixed-integer power management systems model (IMPMS) was developed for supporting sustainable power systems management under uncertainty. The developed methodology can tackle uncertainties expressed as interval values and dynamics of capacity-expansion issues. Enhancing hydro-storage and wind-power generation modules of the developed power management systems enable an in-depth analysis of renewable energy development strategies and sustainable transition pathways. IMPMS was then applied to a hypothetical power system within a Canada context. The results indicated that the developed model can help provide sound strategies for dealing with issues of sustainable energy development under uncertainty. A combined use of wind- and hydro-storage power generation facilities would help not only reduce system cost and conserve energy toward a sustainable future, but also mitigate the negative impacts of intermittency of renewable energy on power systems.