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

Hina Fathima A, Kaliannan Palanisamy, Sanjeevikumar Padmanaban and Umashankar Subramaniam
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Hina Fathima A: Hindustan Computer Limited (HCL) Technologies Ltd., Chennai 600058, Tamil Nadu, India
Kaliannan Palanisamy: School of Electrical Engineering, VIT University, Vellore 632509, Tamil Nadu, India
Sanjeevikumar Padmanaban: Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark
Umashankar Subramaniam: School of Electrical Engineering, VIT University, Vellore 632509, Tamil Nadu, India

Energies, 2018, vol. 11, issue 10, 1-18

Abstract: 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.

Keywords: VRB; battery management; dispatch; energy management; wind; dual-battery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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