Date

2016

Document Type

Thesis

Degree

Master of Science

Department

Electrical Engineering

First Adviser

Liu, wenxin

Abstract

Since a pulsed power load (PPL) consumes a huge amount of energy within veryshort period of time, its deployment might cause large disturbances even instability to apower system that has limited generation, small inertia, and small ramp rate. To mitigatethe strike during PPL deployment, energy storage system (ESS) is usually installed inshipboard power system (SPS) to serve as the sole power supply for PPL. To realize fastcharging of the ESS and minimize disturbance during charging, generation control andcharging control of SPS should be well coordinated. For this important but not wellstudied problem, this paper presents an adaptive critic design based control algorithm fora nonlinear model integrating the basic dynamics of synchronous generator andsupercapacitor, which is a popular type of ESS for PPL application. Through interactivelearnings of two neural networks for cost-to-go function approximation and optimalcontrol approximation, respectively, near optimal control can be realized even underdisturbance and model impreciseness. The algorithm is tested with both detailed singleandmultiple-generator SPS models and tested through both real-time digital and powerhardware-in-the-loop simulations. Simulation results demonstrate the effectiveness of thedeveloped model and control algorithm.

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