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Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming
Authors:Volkan Kumtepeli  Yulong Zhao  Maik Naumann  Anshuman Tripathi  Youyi Wang  Andreas Jossen  Holger Hesse
Abstract:The rapid increase of renewable energy sources made coordinated control of the distributed and intermittent generation units a more demanded task. Matching demand and supply is particularly challenging in islanded microgrids. In this study, we have demonstrated a mixed‐integer quadratic programming (MIQP) method to achieve efficient use of sources within an islanded microgrid. A unique objective function involving fuel consumption of diesel generator, degradation in a lithium‐ion battery energy storage system, carbon emissions, load shifting, and curtailment of the renewable sources is constructed, and an optimal operating point is pursued using the MIQP approach. A systematic and extensive methodology for building the objective function is given in a sequential and explicit manner with an emphasis on a novel model‐based battery aging formulation. Performance of the designed system and a sensitivity analysis of resulting battery dispatch, diesel generator usage, and storage aging against a range of optimization parameters are presented by considering real‐world specifications of the Semakau Island, an island in the vicinity of Singapore.
Keywords:battery aging  case study  energy management system (EMS)  lithium‐ion battery (LIB)  microgrid  mixed‐integer quadratic programming (MIQP)  model predictive control  optimization  unit commitment
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