With growing penetration of renewable sources in the power scenario there is also a bilateral increase for the need of storage systems. Unpredictability and high intermittence in the power generated from renewable systems like wind have driven the need for adequate back up energy reserves and power quality improvement according to grid standards. Battery Energy Storage Systems (BESS) have been the most popular and mature technology for grid applications from a long time. Lot of research is pursued in BESS to develop its volumetric capacity, specific discharge rates and efficiency by improving the material properties, integration topologies and control mechanisms. Still there is huge scope for improving these systems to deliver maximum penetration results. This paper explores the various BESS available, their developments, properties as well as the applications in Wind Power grids. Also, a brief overview of the future scope of development in BESS is outlined. © 2014 IEEE.

Palanisamy K

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Fathima A.H

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Battery energy storage applications in wind integrated systems — A review

2014 International Conference on Smart Electric Grid (ISEG)

This paper proposes an intelligent battery management system (BMS) implementing two large Vanadium Redox Battery (VRB) flow batteries in a master-slave mode to provide grid-level energy storage for a wind-solar hybrid power system. The proposed BMS is formulated to effectively meet a predetermined power dispatch formulated based on forecasted wind and solar data while incorporating features like peak shaving and ramp rate limiting. It is compared to a single battery module operated system to showcase the advantages of the proposed intelligent dual battery module in terms of appreciable reduction in battery size and costs while exhibiting improved lifecycle performance. The battery size is optimized based on heuristic optimization algorithms and modelled in Matlab/Simulink environment. An intelligent fuzzy-based BMS is used to control the dual VRB model to ensure optimized power sharing between batteries. The simulations were carried out and an in-depth economic analysis conducted to analyze the costs and other financial metrics of the hybrid project. Results proved the advantages of the dual battery with the proposed BMS and fortify that the introduction of time-based tariffs and other incentives will further make investments in VRB highly attractive for renewable applications.

Fulltext

Energies

Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

Energy Procedia

Modeling and Operation of a Vanadium Redox Flow Battery for PV Applications

Unpredicted and intermittent nature of renewable energy makes them difficult for grid integration and operation. Battery storage systems have thus been indispensable in rendering these systems dispatchable by improving their reliability and quality. Hybrid renewable energy systems combining the wind and solar power generation are rapidly gaining popularity due to the complementary nature of the respective natural energy sources. This study attempts to propose a sizing of Vanadium Redox flow battery based on min-max dispatch method while considering peak demand periods in a power grid. Further exploration of battery performance studied by observing its State-of-Charge shows an effective utilization of battery capacity and improved cycle periods for an extended cell life. © 2015 IEEE.

2015 IEEE Conference on Energy Conversion (CENCON)

Sizing of a VRB battery based on max-min method of power dispatch in a wind-PV hybrid system

Energy storages are emerging as a predominant sector for renewable energy applications. This paper focuses on a feasibility study to integrate battery energy storage with a hybrid wind-solar grid-connected power system to effectively dispatch wind power by incorporating peak shaving and ramp rate limiting. The sizing methodology is optimized using bat optimization algorithm to minimize the cost of investment and losses incurred by the system in form of load shedding and wind curtailment. The integrated system is then tested with an efficient battery management strategy which prevents overcharging/discharging of the battery. In the study, five major types of battery systems are considered and analyzed. They are evaluated and compared based on technoeconomic and environmental metrics as per Indian power market scenario. Technoeconomic analysis of the battery is validated by simulations, on a proposed wind-photovoltaic system in a wind site in Southern India. Environmental analysis is performed by evaluating the avoided cost of emissions.

Modelling and Simulation in Engineering

Optimized Sizing, Selection, and Economic Analysis of Battery Energy Storage for Grid-Connected Wind-PV Hybrid System

Journal of Solar Energy Engineering

Dynamic Model of a Vanadium Redox Flow Battery for System Performance Control

Renewable Energy

Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage

IEEE Transactions on Sustainable Energy

Selection and Performance-Degradation Modeling of LiMO$_{2}$/Li$_{4}$Ti$_{5}$O$_{12}$ and LiFePO$_{4}$/C Battery Cells as Suitable Energy Storage Systems for Grid Integration With Wind Power Plants: An Example for the Primary Frequency Regulation Service

International Journal of Electrical Power & Energy Systems

Energy storage systems providing primary reserve and peak shaving in small isolated power systems: An economic assessment

Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices

Journal	Data powered by Typeset2014 International Conference on Smart Electric Grid (ISEG)
Publisher	Data powered by TypesetIEEE
Open Access	No