Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

Summary 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 prog...

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Veröffentlicht in:International journal of energy research Jg. 43; H. 9; S. 4127 - 4147
Hauptverfasser: Kumtepeli, Volkan, Zhao, Yulong, Naumann, Maik, Tripathi, Anshuman, Wang, Youyi, Jossen, Andreas, Hesse, Holger
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bognor Regis John Wiley & Sons, Inc 01.07.2019
Schlagworte:
Ageing
Aging
battery aging
case study
Diesel
Diesel fuels
Diesel generators
Distributed generation
Electric power grids
Electrical loads
Electricity consumption
Energy management
energy management system (EMS)
Energy resources
Energy storage
Environmental management
Integers
Lithium
Lithium-ion batteries
lithium‐ion battery (LIB)
microgrid
mixed‐integer quadratic programming (MIQP)
model predictive control
Objective function
Optimization
Pollution sources
Quadratic programming
Renewable energy
Renewable energy sources
Renewable resources
Resource management
Sensitivity analysis
unit commitment
ISSN:0363-907X, 1099-114X
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Zusammenfassung:Summary 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. A systematic methodology based on mixed‐integer quadratic programming is used to build an aging‐aware energy management system for islanded microgrids. To model the storage system behavior and to enable practitioners to test and simulate their systems, an open‐source platform called SimSES is adopted. Considering the abovementioned model and algorithm, a lifetime analysis for LFP‐type lithium‐ion batteries is numerically investigated through batch simulations.
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ISSN:0363-907X
1099-114X
DOI:10.1002/er.4512