Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/15772
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dc.contributor.authorSharma, Janardan-
dc.date.accessioned2024-09-19T12:07:44Z-
dc.date.available2024-09-19T12:07:44Z-
dc.date.issued2019-05-
dc.identifier.urihttp://localhost:8081/xmlui/handle/123456789/15772-
dc.description.abstractThe purpose of this project is to Model of Wind Farms in the Load Flow Analysis. Two methods are proposed, for the simulation of wind farms with asynchronous generators in the load flow analysis. Both methods are based on the steady-state model of the induction machine. The first involves improving the conventional PQ bus, and the second involves modeling the generators in steady-state in the bus where the wind farm is located. When the conventional PQ bus model is used, the real and reactive powers have constant values, although some authors propose methods for modifying these values in order to represent loads depending either on the voltage or on the frequency. When the PX bus model is used, the real power is known and the reactive power is calculated as a function of the magnetizing reactance of the generators. Both methods suppose prior knowledge of the WT features. The turbine’s power curve is generally supplied by the manufacturer. When the induction generator parameters are not known, they must be estimated. One of the problems that wind energy will create in electrical power systems is the dependence of the injected power on the wind speed. The wind speed cannot be predicted, but the probability of a particular wind speed occurring can be estimated. This can be done if the probability distribution is known by assuming it to be a Wei-bull distribution in which Rayleigh probability density function is used. Probabilistic distribution model is used for wind turbine integration to 33 Bus System. For the system, 3 years of historical data were taken regarding the hourly load and the hourly wind speed profile. Load flow is run hour by hour for the entire year. During each hour, wind based DG penetration is changed based on the wind speed profile. Finally, the power loss calculated for each hour are aggregated to obtain the annual energy loss.en_US
dc.description.sponsorshipINDIAN INSTITUTE OF TECHNOLOGY ROORKEEen_US
dc.language.isoenen_US
dc.publisherI I T ROORKEEen_US
dc.subjectWind Farmsen_US
dc.subjectLoad Flow Analysisen_US
dc.subjectSteady-State Modelen_US
dc.subjectPQ bus Modelen_US
dc.titleMODELLING OF WIND FARMS IN THE LORD FLOW ANALYSISen_US
dc.typeOtheren_US
Appears in Collections:MASTERS' THESES (Electrical Engg)

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