Optimization of Battery Energy Storage to Improve Power System Oscillation Damping
For power system operators, this provides a method to improve oscillation damping through BESS placement, though the improvement is incremental over existing optimization techniques.
This paper formulates a placement problem for multiple Battery Energy Storage Systems (BESS) to enhance transient voltage stability, solved via Cross-Entropy optimization. Results on the New England 39-Bus system show that optimized BESS placement alleviates voltage instability, with CE converging faster than PSO while matching 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 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.