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

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.