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dc.contributor.authorPrasad, Chintala Bhanu-
dc.contributor.authorChintham, Venkaiah-
dc.date.accessioned2026-01-28T07:15:40Z-
dc.date.available2026-01-28T07:15:40Z-
dc.date.issued2016-
dc.identifier.citation10.1109/INDICON.2015.7443552en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3894-
dc.descriptionNITWen_US
dc.description.abstractThis paper Proposes Probabilistic optimal power flow to analyse the variation of Locational Marginal Prices (LMPs) with penetration of wind energy. The uncertainty of wind speed and load is modelled using probability distribution functions based on their historical data. Integration of storage unit with wind is proposed to assess economic advantages. In this paper Two Point Estimation Method (2PEM) is used to develop Probabilistic Optimal Power Flow. IEEE-24 bus reliable test system is used to carry out the analysis with uncertainty of wind and load using MATPOWER. The output of 2PEM is compared with Monte Carlo Simulation (MCS) results.en_US
dc.language.isoenen_US
dc.publisher12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015en_US
dc.subjectCompressed Air Energy Storage (CAES)en_US
dc.subjectProbabilistic Optimal Power Flowen_US
dc.subjectTwo Point Estimation Methoden_US
dc.subjectLocational Marginal Prices (LMPs)en_US
dc.titleProbabilistic Optimal Power Flow with wind energy penetration and integration of storage systemen_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

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