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Computer Science > Systems and Control

arXiv:1811.10213 (cs)
[Submitted on 26 Nov 2018]

Title:Optimization of Battery Energy Storage to Improve Power System Oscillation Damping

Authors:Yongli Zhu, Chengxi Liu, Kai Sun, Di Shi, Zhiwei Wang
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Abstract:A placement problem for multiple Battery Energy Storage System (BESS) units is formulated towards power system transient voltage stability enhancement in this paper. The problem is solved by the Cross-Entropy (CE) optimization method. A simulation-based approach is adopted to incorporate higher-order dynamics and nonlinearities of generators and loads. The objective is to maximize the voltage stability index, which is setup based on certain grid-codes. Formulations of the optimization problem are then discussed. Finally, the proposed approach is implemented in MATLAB/DIgSILENT and tested on the New England 39-Bus system. Results indicate that installing BESS units at the optimized location can alleviate transient voltage instability issue compared with the original system with no BESS. The CE placement algorithm is also compared with the classic PSO (Particle Swarm Optimization) method, and its superiority is demonstrated in terms of a faster convergence rate with matched solution qualities.
Comments: This paper has been accepted by IEEE Transactions on Sustainable Energy and now still in online-publication phase, IEEE Transactions on Sustainable Energy. 2018
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:1811.10213 [cs.SY]
  (or arXiv:1811.10213v1 [cs.SY] for this version)
  https://doi.org/10.48550/arXiv.1811.10213
Related DOI: https://doi.org/10.1109/TSTE.2018.2858262

Submission history

From: Yongli Zhu [view email]
[v1] Mon, 26 Nov 2018 07:14:27 UTC (1,663 KB)
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Chengxi Liu
Kai Sun
Di Shi
Zhiwei Wang
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