By Topic

A Fuzzy Control Based Coordinated Method for Isolated Power Utility Connected Clustered Photovoltaic Systems to Provide Frequency Control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Datta, M. ; Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan ; Senjyu, T. ; Yona, A. ; Funabashi, T.

A Photovoltaic system's output power is not constant and fluctuates depending on weather conditions. Fluctuating power causes frequency deviations and reduction in reliability of the isolated power utility or micro grid when large output power from several Photovoltaic systems is penetrated in the utility. In this paper, to overcome this problem, a simple coordinated control method for clustered Photovoltaic systems is proposed to provide the frequency control. Here, output power command is generated in two steps: central and local. Fuzzy control is used to generate the central output power command considering average insolation, change of insolation, and frequency deviations. In the local step, a simple coordination is maintained between the central power command and the local power commands by producing a common tuning factor. The proposed method is compared with the method where extracted maximum power is supplied to the utility. Simulation results show that the proposed method is feasible to reduce the frequency deviations of the isolated power utility and delivers the power near maximum Photovoltaic power.

Published in:

Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on

Date of Conference:

8-12 Nov. 2009