Cart (Loading....) | Create Account
Close category search window

Optimal sizing of an islanded microgrid using Evolutionary Strategy

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)
Logenthiran, T. ; Dept. of ECE, Nat. Univ. of Singapore, Singapore, Singapore ; Srinivasan, D. ; Khambadkone, A.M. ; Raj, T.S.

In islanded microgrid design, a proper Distributed Energy Resource (DER) selection, sizing and effective coordination between resources are important and challenging optimization tasks. The types and sizes of renewable energy sources such as wind turbines, photovoltaic panels, the capacities of battery bank and the other distributed generators must be optimized in islanded microgrid design. In this paper, the problem is formulated as a nonlinear integer minimization problem which minimizes the sum of the total capital, operational and maintenance cost of DERs, subject to constraints such as energy limits and emission limits of each DER and Loss of Power Supply Probability (LPSP) of the microgrid. This paper proposes an Evolutionary Strategy (ES) for solving this minimization problem. LPSP of each individual of ES's population is calculated by simulation of 8760 hours in a year. The proposed methodology was used to design microgrids for MODERN project. The simulation studies have shown that the proposed methodology provides excellent convergence and feasible optimum solution for sizing of islanded microgrids using evolutionary strategy.

Published in:

Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on

Date of Conference:

14-17 June 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.