Model predictive control for power fluctuation supression in hybrid wind/PV/battery systems

Shi You, Zongyu Liu, Yi Zong

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Abstract

A hybrid energy system, the combination of wind turbines, PV panels and battery storage with effective control mechanism, represents a promising solution to the power fluctuation problem when integrating renewable energy resources (RES) into conventional power systems. This paper proposes a model predictive control (MPC)-based algorithm for battery management in a hybrid wind/PV/battery system to suppress the short-term power fluctuation on the ‘minute’ scale. A case study with data collected from a practical hybrid system setup is used to demonstrate the effectiveness of the proposed algorithm together with a Monte Carlo simulation-based sensitivity analysis. In addition to illustrating the complementarity between the fluctuations of wind power and PV power, the results prove the proposed MPC algorithm is effective in fluctuation suppression but sensitive to factors such as forecast accuracy and the desired range of power fluctuation.
Original languageEnglish
Title of host publicationProceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)
Number of pages6
Publication date2015
Publication statusPublished - 2015
Event4th International Conference on Microgeneration and Related Technologies - Tokyo, Japan
Duration: 28 Oct 201530 Oct 2015
Conference number: 4
http://microgen4.info/

Conference

Conference4th International Conference on Microgeneration and Related Technologies
Number4
CountryJapan
CityTokyo
Period28/10/201530/10/2015
Internet address

Cite this

You, S., Liu, Z., & Zong, Y. (2015). Model predictive control for power fluctuation supression in hybrid wind/PV/battery systems. In Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4)