Tractable lithium-ion storage models for optimizing energy systems

Model-based optimization of energy systems with batteries requires a battery model that is accurate, tractable, and easy to calibrate. Developing such a model is challenging because electrochemical batteries exhibit complex behaviours. In this paper, we propose and evaluate a family of battery models that have different trade-offs between accuracy and complexity. We derive our models from a recently developed battery model, which is accurate and easy to calibrate but is not tractable. We evaluate our models against the commonly-used benchmark tractable model using a set of experiments that characterize the cycling behaviour of two Lithium-ion battery chemistries, as well as dynamic charge/discharge experiments. We further compare the models for two typical energy system applications, solar farm firming and grid regulation, to show the impact of the choice of battery model on the results. Finally, we evaluate the increase in accuracy when battery models are calibrated with the proper operating range.

[1]  Catherine Rosenberg,et al.  Optimal Design of Solar PV Farms With Storage , 2015, IEEE Transactions on Sustainable Energy.

[2]  Catherine Rosenberg,et al.  Energy Storage and Regulation: An Analysis , 2016, IEEE Transactions on Smart Grid.

[3]  Xiaosong Hu,et al.  A comparative study of equivalent circuit models for Li-ion batteries , 2012 .

[4]  Ali Mohammad Ranjbar,et al.  Practical battery size optimization of a PV system by considering individual customer damage function , 2017 .

[5]  Catherine Rosenberg,et al.  Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff , 2016, e-Energy.

[6]  Nicholas Jenkins,et al.  Optimal battery storage operation for PV systems with tariff incentives , 2017 .

[7]  H. B. Gooi,et al.  Sizing of Energy Storage for Microgrids , 2012, IEEE Transactions on Smart Grid.

[8]  D. Kendall Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain , 1953 .

[9]  Noboru Yamada,et al.  Sizing and Analysis of Renewable Energy and Battery Systems in Residential Microgrids , 2016, IEEE Transactions on Smart Grid.

[10]  Massimo Ceraolo,et al.  Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell , 2013 .

[11]  Rolf Findeisen,et al.  Electrochemical Model Based Observer Design for a Lithium-Ion Battery , 2013, IEEE Transactions on Control Systems Technology.

[12]  Hongwen He,et al.  State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model , 2011, IEEE Transactions on Vehicular Technology.

[13]  Rajab Khalilpour,et al.  Planning and operation scheduling of PV-battery systems: A novel methodology , 2016 .

[14]  Justin David Durfee,et al.  Comparison of open-source linear programming solvers. , 2013 .

[15]  Chris Manzie,et al.  A Framework for Simplification of PDE-Based Lithium-Ion Battery Models , 2016, IEEE Transactions on Control Systems Technology.

[16]  Teemu Lehmuspelto,et al.  Time-Domain Parameter Extraction Method for Thévenin-Equivalent Circuit Battery Models , 2014, IEEE Transactions on Energy Conversion.

[17]  Min Chen,et al.  Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.

[18]  Yurij M. Volfkovich,et al.  Lithium Ion Batteries , 2015 .

[19]  Yang‐Kook Sun,et al.  Lithium-ion batteries. A look into the future , 2011 .

[20]  Catherine Rosenberg,et al.  Simple Spec-Based Modeling of Lithium-Ion Batteries , 2018, IEEE Transactions on Energy Conversion.

[21]  Tanvir R. Tanim,et al.  A Temperature Dependent, Single Particle, Lithium Ion Cell Model Including Electrolyte Diffusion , 2015 .

[22]  C. Kral,et al.  Comparison, Selection, and Parameterization of Electrical Battery Models for Automotive Applications , 2013, IEEE Transactions on Power Electronics.

[23]  Catherine Rosenberg,et al.  Joint Optimal Design and Operation of Hybrid Energy Storage Systems , 2016, IEEE Journal on Selected Areas in Communications.