Reserve-energy joint optimal scheduling based on Conditional Value-at-Risk for Islanded Microgrids

The uncertainty of renewable energy sources (RESs) has adverse effect to the islanded microgrids (IMGs) operation. The traditional method by using spinning reserve as supporting reserve capacity is neither economic nor environmental. The reasonable allocation of the reserve capacity is necessary. Thus, a reserve-energy joint optimal scheduling model is proposed for the economic and reliable operation of IMGs. Firstly, a multi-type reserve capacity system for IMGs considering the different characteristics of generation-load-storage is proposed. Then, the conditional value-at-risk (CVaR) method is introduced to assess the operation risk loss produced by reserve shortage. In order to improve the solving efficiency of the reserve-energy joint optimal scheduling model, Latin hypercube sampling (LHS) considering correlation is adopted. Finally, the effectiveness of the proposed method and model is verified by numerical simulation results.