Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability

The application of lithium-ion (Li-ion) battery energy storage system (BESS) to achieve the dispatchability of a renewable power plant is examined. By taking into consideration the effects of battery cell degradation evaluated using electrochemical principles, a power flow model (PFM) of the BESS is developed specifically for use in system-level study. The PFM allows the long-term performance and lifetime of the battery be predicted as when the BESS is undertaking the power dispatch control task. Furthermore, a binary mode BESS control scheme is proposed to prevent the possible over-charge/over-discharge of the BESS due to the uncertain renewable input power. Analysis of the resulting new dispatch control scheme shows that a proposed adaptive BESS state of energy controller can guarantee the stability of the dispatch process. A particle swarm optimization algorithm is developed and is incorporated into a computational procedure for which the optimum battery capacity and power rating are determined, through minimizing the capital cost of the BESS plus the penalty cost of violating the dispatch power commitment. Results of numerical examples used to illustrate the proposed design approach show that in order to achieve hourly-constant power dispatchability of a 100-MW wind farm, the minimum-cost Li-ion BESS is rated 31-MW/22.6-MWh.

[1]  Mohammad Rasol Jannesar,et al.  Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration , 2018, Applied Energy.

[2]  Q Li,et al.  On the Determination of Battery Energy Storage Capacity and Short-Term Power Dispatch of a Wind Farm , 2011, IEEE Transactions on Sustainable Energy.

[3]  E W. Djaja,et al.  Technique for enhancing the performance of discretized controllers , 1999 .

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

[5]  Y. Bakelli,et al.  Renewable hybrid system size optimization considering various electrochemical energy storage technologies , 2019, Energy Conversion and Management.

[6]  Dale E. Seborg,et al.  Nonlinear Process Control , 1996 .

[7]  Rodolfo Dufo-López,et al.  Optimisation of size and control of grid-connected storage under real time electricity pricing conditions , 2015 .

[8]  Ralph E. White,et al.  Development of First Principles Capacity Fade Model for Li-Ion Cells , 2004 .

[9]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[10]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[11]  D. Yao,et al.  Design of short-term dispatch strategy to maximize income of a wind power-energy storage generating station , 2011 .

[12]  Hongguang Jin,et al.  A review on the utilization of hybrid renewable energy , 2018, Renewable and Sustainable Energy Reviews.

[13]  Ralph E. White,et al.  Review of Models for Predicting the Cycling Performance of Lithium Ion Batteries , 2006 .

[14]  Yang Li,et al.  Development of a degradation-conscious physics-based lithium-ion battery model for use in power system planning studies , 2019, Applied Energy.

[15]  Praveen Kumar,et al.  Strategic integration of battery energy storage systems with the provision of distributed ancillary services in active distribution systems , 2019, Applied Energy.

[16]  Hui Li,et al.  Sizing Strategy of Distributed Battery Storage System With High Penetration of Photovoltaic for Voltage Regulation and Peak Load Shaving , 2014, IEEE Transactions on Smart Grid.

[17]  Feng Zhang,et al.  Battery ESS Planning for Wind Smoothing via Variable-Interval Reference Modulation and Self-Adaptive SOC Control Strategy , 2017, IEEE Transactions on Sustainable Energy.

[18]  Hong-Hee Lee,et al.  Cost-Optimized Battery Capacity and Short-Term Power Dispatch Control for Wind Farm , 2015, IEEE Transactions on Industry Applications.

[19]  Kit Po Wong,et al.  Coordinated Operational Planning for Wind Farm With Battery Energy Storage System , 2015, IEEE Transactions on Sustainable Energy.

[20]  S. Pischinger,et al.  Pseudo 3D Modeling and Analysis of the SEI Growth Distribution in Large Format Li-Ion Polymer Pouch Cells , 2013 .

[21]  Federico Milano,et al.  Impact of Time Delays on Power System Stability , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[22]  Jae Woong Shim,et al.  Synergistic Control of SMES and Battery Energy Storage for Enabling Dispatchability of Renewable Energy Sources , 2013, IEEE Transactions on Applied Superconductivity.

[23]  Minggao Ouyang,et al.  Characterization of large format lithium ion battery exposed to extremely high temperature , 2014 .

[24]  Joaquim R. R. A. Martins,et al.  Design of a lithium-ion battery pack for PHEV using a hybrid optimization method , 2014 .

[25]  Dong Hui,et al.  Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations , 2013, IEEE Transactions on Sustainable Energy.

[26]  Andrey V. Savkin,et al.  On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting , 2018 .

[27]  S. Choi,et al.  A physics-based distributed-parameter equivalent circuit model for lithium-ion batteries , 2019, Electrochimica Acta.

[28]  Xue Li,et al.  Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability , 2018 .

[29]  Torsten Wik,et al.  Power capability prediction for lithium-ion batteries using economic nonlinear model predictive control , 2018, Journal of Power Sources.

[30]  Guangzhong Dong,et al.  Online Estimation of Power Capacity With Noise Effect Attenuation for Lithium-Ion Battery , 2019, IEEE Transactions on Industrial Electronics.

[31]  Gregory L. Plett,et al.  Controls oriented reduced order modeling of solid-electrolyte interphase layer growth , 2012 .

[32]  K. J. Tseng,et al.  Determination of Short-Term Power Dispatch Schedule for a Wind Farm Incorporated With Dual-Battery Energy Storage Scheme , 2012, IEEE Transactions on Sustainable Energy.

[33]  D. M. Vilathgamuwa,et al.  Design of a Least-Cost Battery-Supercapacitor Energy Storage System for Realizing Dispatchable Wind Power , 2013, IEEE Transactions on Sustainable Energy.

[34]  Yue Yuan,et al.  On Generation Schedule Tracking of Wind Farms With Battery Energy Storage Systems , 2017, IEEE Transactions on Sustainable Energy.

[35]  Andreas Jossen,et al.  Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids , 2017 .