Load flow analysis with a neuro-fuzzy model of an induction motor load

dc.contributor.author	Muriithi, Christopher M.
dc.contributor.author	Ngoo, L.M
dc.contributor.author	Nyakoe, G.N
dc.date.accessioned	2017-09-07T08:07:50Z
dc.date.available	2017-09-07T08:07:50Z
dc.date.issued	2009
dc.identifier.uri	http://hdl.handle.net/123456789/2802
dc.description.abstract	In the conventional load flow study, the active and reactive powers of all load buses are generally specified. Although the constant power model is applicable for approximate studies, it may not suitable for the motors because the reactive power is very sensitive to the voltage variations while the active power is dependent upon the torque being driven. The paper proposes to solve the load flow equations with neuro fuzzy induction motor models. Both the motor active power and reactive power are estimated at each iteration using neuro fuzzy techniques. The efficiency is estimated using the IEEE 30 bus system. The results indicate that the inclusion of induction motor loads has an effect on the convergence characteristic of the active and reactive power mismatches of the modified load flow.	en_US
dc.language.iso	en	en_US
dc.subject	Component;	en_US
dc.subject	induction motor loads,	en_US
dc.subject	neuro-fuzzy,	en_US
dc.subject	load flow	en_US
dc.title	Load flow analysis with a neuro-fuzzy model of an induction motor load	en_US
dc.type	Technical Report	en_US