OCSYSYApr 3, 2019

Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement

arXiv:1903.0196113 citations
Originality Synthesis-oriented
AI Analysis

For power system operators, this work provides an optimization method for BESS placement to improve transient voltage stability, though it is an incremental application of existing methods to a specific problem.

This paper formulates a placement problem for multiple Battery Energy Storage Systems (BESS) to enhance transient voltage stability, solved using Cross-Entropy optimization. Results on the New England 39-Bus system show that optimized BESS placement alleviates voltage instability and outperforms PSO with fewer iterations and better solution quality.

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 set up 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 fewer iterations for convergence with better solution qualities.

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