Please use this identifier to cite or link to this item: https://doi.org/10.1109/PMAPS.2010.5528840
Title: Optimal sizing of an islanded microgrid using Evolutionary Strategy
Authors: Logenthiran, T.
Srinivasan, D. 
Khambadkone, A.M. 
Raj, T.S. 
Keywords: Distributed energy resources
Evolutionary strategy
Loss of power supply probability
Microgrids
Optimal sizing
Issue Date: 2010
Source: Logenthiran, T.,Srinivasan, D.,Khambadkone, A.M.,Raj, T.S. (2010). Optimal sizing of an islanded microgrid using Evolutionary Strategy. 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 : 12-17. ScholarBank@NUS Repository. https://doi.org/10.1109/PMAPS.2010.5528840
Abstract: 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. © 2010 IEEE.
Source Title: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/71303
ISBN: 9781424457236
DOI: 10.1109/PMAPS.2010.5528840
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