Abstract

Battery energy storage systems have gained increasing interest for serving grid support in various application tasks. In particular, systems based on lithium-ion batteries have evolved rapidly with a wide range of cell technologies and system architectures available on the market. On the application side, different tasks for storage deployment demand distinct properties of the storage system. This review aims to serve as a guideline for best choice of battery technology, system design and operation for lithium-ion based storage systems to match a specific system application. Starting with an overview to lithium-ion battery technologies and their characteristics with respect to performance and aging, the storage system design is analyzed in detail based on an evaluation of real-world projects. Typical storage system applications are grouped and classified with respect to the challenges posed to the battery system. Publicly available modeling tools for technical and economic analysis are presented. A brief analysis of optimization approaches aims to point out challenges and potential solution techniques for system sizing, positioning and dispatch operation. For all areas reviewed herein, expected improvements and possible future developments are highlighted. In order to extract the full potential of stationary battery storage systems and to enable increased profitability of systems, future research should aim to a holistic system level approach combining not only performance tuning on a battery cell level and careful analysis of the application requirements, but also consider a proper selection of storage sub-components as well as an optimized system operation strategy.

Highlights

  • In academia, it is common sense, that an intensified deployment of Renewable Energy Sources (RES) is the most promising strategy to pave a way towards a highly desired more sustainable electricity supply [1]

  • Other recent work underlines that cost-benefit analyses based on Levelized Cost of Electricity (LCOE) used effectively e.g., for the economic assessment of RES generation is subject to strong variation when applied to Battery Energy Storage System (BESS) assessment and depends e.g., on the application choice [15,16,17]

  • Despite projections to future developments are subject to speculations, it is worth to analyze in more detail the aging of Lithium-Ion Battery (LIB) cells in order to obtain an improved understanding of current developments and technical limitations

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Summary

Introduction

It is common sense, that an intensified deployment of Renewable Energy Sources (RES) is the most promising strategy to pave a way towards a highly desired more sustainable electricity supply [1]. This work aims to bridge among the existent literature by providing a comparative analysis and may serve as a guideline to technology choice, system design concept and operation management for future LIB based stationary storage systems It includes a framework for profitability analysis and optimization of BESS with one or multiple applications and highlights directions for future research. Other recent work underlines that cost-benefit analyses based on Levelized Cost of Electricity (LCOE) used effectively e.g., for the economic assessment of RES generation is subject to strong variation when applied to BESS assessment and depends e.g., on the application choice [15,16,17] As such ROI analysis is preferred to LCOE for valuation and direct comparison of storage systems.

Lithium-Ion Battery Technology—Performance and Aging
Characteristics and Performance
Aging of Lithium-Ion Batteries
Usage State—Cycle Aging Effects
Future Developments
Stationary Battery Storage System Design
Cell Interconnection and System Topology
Storage System Overview
Grid Level
Power Electronics
System Simulation
Grid-Applications for BESS
Application Families
Combined Applications
Analysis of BESS Operation in Selected Grid Applications
Simulation and Optimization for Stationary Battery Storage Systems
Simulation and Modelling of Storage Systems
Code Availability
Optimization Tasks for Usage of BESS in BTM and Grid Applications
Sizing of BESS
Placement of BESS
Dispatch of BESS
Results and Future
Results
Full Text
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