Title :
Optimization and control of a distributed Battery Energy Storage System for wind power smoothing
Author :
Khalid, Muhammad ; Savkin, Andrey V.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
This paper presents a methodology to minimize the capacity of a Battery Energy Storage System (BESS) in a distributed configuration of wind power sources. A new semi-distributed BESS scheme is proposed to improve the suppression of the fluctuations in the wind farm power output. The proposed control system is tested for two dissimilar power profiles of the turbines where the turbines are located far from each other geographically. The scheme is analyzed under a variety of hard system constraints. It was observed that the performance of the proposed semi-distributed BESS scheme is better than that of conventional approaches.
Keywords :
battery storage plants; distributed power generation; optimisation; power generation control; predictive control; wind power plants; wind turbines; distributed battery energy storage system; fluctuation suppression; semidistributed BESS scheme; turbines; wind farm power output; wind power smoothing; Batteries; Power smoothing; Renewable energy resources; Turbines; Wind farms; Wind power generation; Energy storage; model predictive control; wind power;
Conference_Titel :
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0124-5
DOI :
10.1109/MED.2011.5983095
