NDLI: Biogeography Based Optimal State Feedback Controller for Frequency Regulation of a Smart Microgrid

Content Provider	IEEE Xplore Digital Library
Author	Mishra, S. Mallesham, G. Sekhar, P.C.
Copyright Year	2010
Abstract	Development of “Q” and “R” matrices for designing a Linear Quadratic Regulator (LQR) is still a research challenge. The theory says they should belong to the group of positive definite matrices, so we need to find out the most suitable amongst them in order to obtain the desired response. In this paper biogeography based optimization (BBO) technique has been applied to come up with the best “Q” and “R” matrices such that the frequency excursion following a disturbance in a microgrid is minimized. As all the states in a practical system may not be measurable hence, we have used Kalman estimator to estimate them. These estimated states along with other measured states are used by the LQR to produce the desired control signal. The microgrid is made smarter by using the agent based scheme integrated with a master controller and a proper communication protocol. The simulation results show that the proposed approach improves the microgrid frequency response and also gives a new alternative method for frequency control of a smart microgrid.
Starting Page	628
Ending Page	637
Page Count	10
File Size	2586882
File Format	PDF
ISSN	19493053
Volume Number	4
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microgrids Generators Frequency control Fuel cells Smart grids Transfer functions State feedback tuning of LQR parameters BBO Bryson's method frequency control Kalman estimator LQR microgrid central controller (MGCC) multi-agent system (MAS)
Content Type	Text
Resource Type	Article
Subject	Computer Science

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