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Presenter: Binyan Zhao
Supervisor: Xiaodai Dong, Co-Supervisor: Jens Bornemann

Date: Tue, August 25, 2015
Time: 10:30:00 - 11:30:00
Place: EOW 430

ABSTRACT

ABSTRACT:

This topic considers the operation scheduling problem in renewable-powered microgrids, which is to determine the least-cost unit commitment (UC) and the associated dispatch, while meeting load, environmental and system operating requirements. The intermittency nature of the renewable energy sources (RESs), as well as microgrid's capacity to operate either in parallel with, or autonomously of, the traditional power grid, pose new challenges to this classic optimization task. A probability-based concept, probability of self-sufficiency (PSS), is introduced to indicate the probability that the microgrid is capable of meeting local demand in a self-sufficient manner. Furthermore, to the best of our knowledge, we make the first attempt in approaching the mixed-integer UC problem from a convex optimization perspective, which leads to an analytical closed-form characterization of the optimal commitment and dispatch solutions. Simulation results show that 1) the proposed method achieves an efficient performance which incurs no loss of optimality with lower complexity than existing algorithms; 2) energy storage system (ESS) with suitable capacity contributes to the self-sufficiency target of a microgrid, and the stored energy varies less remarkably as the microgrid tends to operate more independently; 3) the proposed method provides guideline in deciding the ESS size to achieve a desired PSS.