Non-ideal Linear Operation Model for a Li-ion Battery
arXiv:1901.04260 · doi:10.1109/TPWRS.2019.2930450
Abstract
Currently, the characterization of electric energy storage units used for power system operation and planning models relies on two major assumptions: charge and discharge efficiencies, and power limits are constant and independent of the electric energy storage state of charge. This approach can misestimate the available storage flexibility. This work proposes a detailed model for the characterization of steady-state operation of Li-ion batteries in optimization problems. The model characterizes the battery performance, including non-linear charge and discharge power limits and efficiencies, as a function of the state of charge and requested power. We then derive a linear reformulation of the model without introducing binary variables, which achieves high computational efficiency, while providing high approximation accuracy. The proposed model characterizes more accurately the performance and technical operational limits associated with Li-ion batteries than those present in classical ideal models. The developed battery model has been compared with three modelling approaches: the complete non-convex formulation; an ideal model typically used in the power system community; and a mixed integer linear reformulation approach. The models have been tested on a network-constrained economic dispatch for a 24-bus system. Based on the simulations, we observed approximately 12% of energy mismatches between schedules that use an ideal model and those that use the model proposed in this study.
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Cited by in corpus (5)
- A Review of Lithium-Ion Battery Models in Techno-economic Analyses of Power Systems
- Linear Battery Models for Power Systems Analysis
- Scheduling Power-Intensive Operations of Battery Energy Storage Systems and Application to Hybrid Hydropower Plants
- Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems
- Optimal BESS Allocation in Large Transmission Networks Using Linearized BESS Models