Robust planning-operation co-optimization of energy hub considering precise model of batteries' economic efficiency

The increasing penetration of renewable energy in integrated energy system (IES) makes it necessary to consider the uncertainty and an appropriate investment and operation for energy storage systems (ESS). In this paper, we propose a robust planning operation co-optimization method for Energy Hub (EH) considering the sizing problem and precise model of batteries' economic efficiency, in which batteries' total cost and the lifetime loss cost is mainly considered. The problem is formulated as a two-stage robust optimization model, in which the second-stage problem has integer variables. To solve the problem, dual norms are used to transform the uncertain constraints into robust counterparts, then the problem is rearranged and can be solved by Benders Decomposition. Through case studies, the benefits on the flexibility and economy of EH brought by precise ESS model is analyzed. And the consideration of lifetime factor and robust optimization strengthen the economy and reliability of EH, respectively. (C) 2019 The Authors. Published by Elsevier Ltd.