Date of Award

May 2016

Degree Type

Thesis

Degree Name

Master of Science

Department

Engineering

First Advisor

David Yu

Committee Members

David Yu, Qiang Fu, Chiu Tai Law

Keywords

ESS, Planning, PSO, Sensitivity Analysis

Abstract

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.

Download

Included in

Engineering Commons

Share

COinS