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Optimal Sizing of Battery Storage System by Utilizing the Reactive Power Capability in Wind Based Distribution Network


Affiliations
1 Central Power Research Institute, Bengaluru - 560080, India
2 Professor, College of Engineering Trivandrum, India
3 Associate Professor, Department of Electrical and Electronics Engineering, GEC-Thrissur-680009, India

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Day by day energy crisis and environmental issues are increasing. The most effective solution for these issues is the use of renewable energy sources (wind, solar etc.) in distribution networks (DN). However these have some disadvantages and one among them is uncertainty in nature. So it’s difficult to utilize the full potential of renewable energy sources. By using battery storage systems (BSSs) this problem can be avoided. In this paper, an optimal power flow (OPF) is formulated, for the spilled energy calculation. For maximum utilization of spilled energy BSS needs to be properly sized and here, it is done by a nonlinear programming (NLP) technique. Also, maximum potential of BSSs can be exploited by providing both active and reactive power from BSS to the network. The methodology is applied to a 47 bus Indian distribution system and results demonstrate that, there is a significant reduction in energy supplied by the grid and losses due to the integration of BSS. In this work it is assumed that wind generators are integrated into the network.

Keywords

Distributed Generation, NLP, Optimal Sizing, Wind Generation
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Abstract Views: 236




  • Optimal Sizing of Battery Storage System by Utilizing the Reactive Power Capability in Wind Based Distribution Network

Abstract Views: 236  | 

Authors

Sangeetha R. S.
Central Power Research Institute, Bengaluru - 560080, India
James Ranjith Kumar R.
Central Power Research Institute, Bengaluru - 560080, India
Amit Jain
Central Power Research Institute, Bengaluru - 560080, India
Sreejaya P.
Professor, College of Engineering Trivandrum, India
Jayan M. V.
Associate Professor, Department of Electrical and Electronics Engineering, GEC-Thrissur-680009, India

Abstract


Day by day energy crisis and environmental issues are increasing. The most effective solution for these issues is the use of renewable energy sources (wind, solar etc.) in distribution networks (DN). However these have some disadvantages and one among them is uncertainty in nature. So it’s difficult to utilize the full potential of renewable energy sources. By using battery storage systems (BSSs) this problem can be avoided. In this paper, an optimal power flow (OPF) is formulated, for the spilled energy calculation. For maximum utilization of spilled energy BSS needs to be properly sized and here, it is done by a nonlinear programming (NLP) technique. Also, maximum potential of BSSs can be exploited by providing both active and reactive power from BSS to the network. The methodology is applied to a 47 bus Indian distribution system and results demonstrate that, there is a significant reduction in energy supplied by the grid and losses due to the integration of BSS. In this work it is assumed that wind generators are integrated into the network.

Keywords


Distributed Generation, NLP, Optimal Sizing, Wind Generation



DOI: https://doi.org/10.33686/prj.v11i1.189392