Estimating Solar Power Integration into Vietnam's Power Mix with the Combinatorial Modelling Approach
Nowadays long-term energy system optimization models are frequently used in studies analysing the transition towards a sustainable energy system with an increased share of intermittent renewable energy sources. Highly variable and stochastic nature of renewable energy sources poses some challenges to long-term energy system optimization models due to using a low temporal resolution and neglecting the short-term dynamics. The common approach to withstand those challenges is the soft-linking of long-term energy system optimization models to a short-term operational power system models. Such approach is proposed to investigate the future Vietnam electricity market in terms of supply-demand balance and how renewable energy sources could help to improve the performance of electricity market to 2030/2035. A hybrid model consists of previously developed Vietnam energy sector model with the model of power shortage estimation of power systems. This hybrid model and appropriate reliability indexes constitute the part of system-wide constraints of combinatorial modelling framework.
Библиографическая ссылка
Edelev Aleksey V., Nguyen Hoai Nam, Quyen Le Luu Estimating Solar Power Integration into Vietnam's Power Mix with the Combinatorial Modelling Approach // Advances in Intelligent Systems Research. Vol.158. 2018. P.31-36. ISBN (print): 978-94-6252-544-3. DOI: 10.2991/iwci-18.2018.6
