MADP-Based Explicit Online Operation Policy for Robust Energy Management of ADN

This paper proposes a multiparametric approximate dynamic programming (MADP)-based explicit online operation policy for the robust energy management problem of active distribution network (ADN). First, the online energy management problem is described from the perspective of distributionally robust optimization (DRO). Then, the risk-averse concept is introduced to quantitatively control the conservativeness of DRO. Considering that it is a complex online optimal problem, which is intractable for traditional algorithms, an MADP-based explicit online operation policy is proposed in this paper. Specifically, the approximate dynamic programming (ADP) algorithm is improved based on the multiparametric programming theory, according to which an explicit online operation policy can be further derived. Compared to traditional online decision-making policies, which need to execute an optimization program, the proposed policy is able to directly obtain solutions through an explicit expression. In this way, the calculation efficiency can be enhanced significantly. Cases on several test systems validate the effectiveness of the proposed method.