Date of Award

May 2016

Degree Type


Degree Name

Master of Science



First Advisor

David Yu

Committee Members

David Yu, Qiang Fu, Chiu Tai Law


ESS, Planning, PSO, Sensitivity Analysis


This paper proposes a novel energy storage system planning method with real time control. Sensitivity analysis is used to linearize the real power change in each certain generator brought by wind and ESS power change in system. Particle Swarm Optimization (PSO) is modified to include the real power change percentage as a constraint, and used to determine optimum ESS size and location. After extensive tests, it shows that this method can determine the optimum sizes and locations for ESS which can effectively keep the disturbance on generators in a system to the minimum while maintaining an acceptable system voltage profile after a sudden wind power drop.

Included in

Engineering Commons