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dc.contributor.authorBatool, M.
dc.contributor.authorIslam, Syed
dc.contributor.authorShahnia, Farhad
dc.date.accessioned2018-08-08T04:41:03Z
dc.date.available2018-08-08T04:41:03Z
dc.date.created2018-08-08T03:50:33Z
dc.date.issued2018
dc.identifier.citationBatool, M. and Islam, S. and Shahnia, F. 2018. Master control unit based power exchange strategy for interconnected microgrids, 2017 Australasian Universities Power Engineering Conference: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69446
dc.identifier.doi10.1109/AUPEC.2017.8282475
dc.description.abstract

© 2017 IEEE. Large remote area networks normally have self-suffi-cient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of power exchange strategy for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.

dc.publisherIEEE
dc.titleMaster control unit based power exchange strategy for interconnected microgrids
dc.typeConference Paper
dcterms.source.volume2017-November
dcterms.source.title2017 Australasian Universities Power Engineering Conference, AUPEC 2017
dcterms.source.series2017 Australasian Universities Power Engineering Conference, AUPEC 2017
dcterms.source.isbn9781538626474
dcterms.source.conference2017 Australasian Universities Power Engineering Conference
dcterms.source.placeUSA
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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