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Reliability and economic assessment of hybrid photovoltaic/wind system with battery storage at Universiti Malaysia Terengganu (UMT) renewable energy station

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dc.contributor.author Fadilah Abd Wahab
dc.date.accessioned 2018-07-26T02:37:13Z
dc.date.available 2018-07-26T02:37:13Z
dc.date.issued 2008
dc.identifier.uri http://umt-ir.umt.edu.my:8080/xmlui/handle/123456789/9417
dc.description.abstract The study of reliability and economic assessment of hybrid photovoltaic (PV)/wind system with battery storage at Universiti Malaysia Terengganu (UMT) renewable energy station is presented in this paper. The study aims at finding the configuration, among a set of systems components, to achived the desired system reliability requirements, with the value of levelized cost of energy. It is describes a study for analyzing the probability of power supply failure in hybrid photovoltaic/wind power system incorporating a storage battery bank, and also analyzes the reliability of the systems. An analysis of the complementary characteristics of solar irradiance and wind power for Universiti Malaysia Terengganu (UMT) renewable energy station is also presented. For the loss of power supply probability (LPSP) analysis, the calculation objective functions and restraints are set up for the design of hybrid systems and to assess their reliability. Applying this method to hybrid photovoltaic/wind system with battery storage in Universiti Malaysia Terengganu (umt) renewable energy station, the results show that the configurations systems did not meet the desired system reliability requirements (LPSP = 0) with the lowest LCE in order to power supply residential household located in the area of the study. en_US
dc.language.iso en en_US
dc.publisher Universiti Malaysia Terengganu en_US
dc.subject Fadilah Abd Wahab en_US
dc.subject LP 3 FST 3 2008 en_US
dc.title Reliability and economic assessment of hybrid photovoltaic/wind system with battery storage at Universiti Malaysia Terengganu (UMT) renewable energy station en_US
dc.type Working Paper en_US


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