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Linear Programming for Optimal Sizing of DGs in MicroGrid Considering Loss of Power Supply Probability Technology
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Abstract
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In this research, a methodology to execute the best unit sizing for Distributed Energy Resources (DER) in MicroGird (MG), has been improved. On the basis of Linear Programming (LP), a renovated optimal unit sizing technique was improved to estimate the optimum system formation that can obtain the customers needed Loss of Power Supply Probability (LPSP) with a minimum Cost of Energy (COE). The suggested method consequences are confirmed for single source DG and hybrid DG with results obtained from HOMER and Genetic Algorithm (GA) for the similar test systems. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.
Keywords:
Optimal Unit Sizing
Cost of Energy
Loss of Power Supply Probability
Linear Programming
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