Real‐Time Microgrid Dispatching Considering Renewable Uncertainties: An Improved Approximate Dynamic Programming Method

B.H. Yin , Gengfeng Li , Yuxiong Huang , Zhaohong Bie ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1049/gtd2.70145

The volatility of distributed photovoltaic (PV) and wind turbine (WT) brings great challenge to the real‐time dispatching of microgrid. This work aims at solving the problem via an improved approximate dynamic programming (ADP) method. Firstly, a two‐stage microgrid dispatching framework is formulated to tackle uncertainty of PV and WT generation with an ADP model which is trained off‐line and utilized in real‐time dispatching. Secondly, an ambiguity set is proposed to utilize distribution knowledge of renewable generations for the generation of off‐line training scenarios. Thirdly, an alternating direction successive projective approximation routine is proposed for the off‐line training of ADP model to reduce the impact of initial cost‐to‐go value function and improve the accuracy of ADP model. Finally, case studies are conducted on the IEEE 37‐bus and 123‐bus systems to illustrate the effectiveness of the proposed method.