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A novel framework for optimization of size and control strategy of lithium-ion battery based off-grid renewable energy systems

Astaneh, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.enconman.2018.08.107
  3. Abstract:
  4. This paper proposes a new methodology to find the most economic system configuration and energy management strategy for Li-ion battery based off-grid renewable energy systems. A system level macroscopic model and a microscopic battery lifetime prediction model are incorporated into the optimization framework to simulate hourly performance of the system. Due to the computational efficiency of the model, optimization is carried out using enumerative method (evaluating all the possible combinations of components and control strategies) to ensure finding the global optimum solution of the problem. To investigate the effectiveness of the proposed methodology, the optimization results are compared with a baseline scenario which is an installed PV-battery system to provide electricity for an isolated house situated near Zaragoza, Spain. Results indicate that the optimized scenario leads to 9.7% reduction in the levelized cost of energy and 48.6% improvement in the battery service period in comparison with the baseline scenario. Moreover, by considering a 0.5% unmet load, the economic feasibility of the system and the battery longevity are enhanced to 14.6% and 78.4%, respectively. Finally, to evaluate the effect of battery unit price and future trends on the optimization results, sensitivity analysis is performed. © 2018
  5. Keywords:
  6. Lithium-ion battery ; Computational efficiency ; Energy management ; Ions ; Optimization ; Renewable energy resources ; Sensitivity analysis ; Battery lifetime prediction ; Economic feasibilities ; Energy management strategies ; Global optimum solutions ; Levelized cost of energies ; Lifetime prediction ; Off-grid renewable energy systems ; Optimization framework ; Lithium-ion batteries
  7. Source: Energy Conversion and Management ; Volume 175 , 2018 , Pages 99-111 ; 01968904 (ISSN)
  8. URL: https://www.sciencedirect.com/science/article/pii/S0196890418309725