PROBABILISTIC LOAD FLOW COMPUTATION USING POINT ESTIMATE METHOD, INCLUDING WIND GENERATION UNCERTAINTY

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DC Field	Value	Language
dc.contributor.author	P., Nidhin	-
dc.date.accessioned	2025-06-26T13:44:21Z	-
dc.date.available	2025-06-26T13:44:21Z	-
dc.date.issued	2014-06	-
dc.identifier.uri	http://localhost:8081/jspui/handle/123456789/17240	-
dc.description.abstract	In this report, a 3 point estimate method has been presented in solving a power flow problem, incorporating uncertainties in both generation and load. A Weibull distribution is used to model wind generation and normal distributions are used to model load variations. Gram Charlier expansion theory has been used in obtaining the output density functions. Results based on a modified IEEE 14-bus system are presented and compared against those obtained from Monte Carlo simulation.	en_US
dc.description.sponsorship	INDIAN INSTITUTE OF TECHNOLOGY ROORKEE	en_US
dc.language.iso	en	en_US
dc.publisher	I I T ROORKEE	en_US
dc.subject	Weibull Distribution	en_US
dc.subject	Gram Charlier	en_US
dc.subject	Monte Carlo	en_US
dc.subject	Simulation	en_US
dc.title	PROBABILISTIC LOAD FLOW COMPUTATION USING POINT ESTIMATE METHOD, INCLUDING WIND GENERATION UNCERTAINTY	en_US
dc.type	Other	en_US
Appears in Collections:	MASTERS' THESES (Electrical Engg)

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