Continuation load flow with a neuro fuzzy model of an induction motor for voltage stability analysis

dc.contributor.author	Muriithi, Christopher M.
dc.contributor.author	Ngoo, L.M.
dc.contributor.author	Nyakoe, G.N.
dc.contributor.author	Njoroge, S. N.
dc.date.accessioned	2017-09-07T09:40:21Z
dc.date.available	2017-09-07T09:40:21Z
dc.date.issued	2010
dc.identifier.uri	http://hdl.handle.net/123456789/2807
dc.description.abstract	This paper uses the concept of the continuation power flow analysis used in voltage stability Analysis for control the power in large systems. It uses the PV curves to find the knee point of a certain bus. A neuro fuzzy model of an induction motor load is used to represent an industrial load. In the subsequent predictor-corrector stages, the induction motors are increased to depict Increment in loading. Different motor ratings are used in the investigations. The process starts at some base values of the system and leading to the critical point. Further the reduced Jacobian is used to determine the optimum location for capacitor to affect maximum voltage improvement in total over a range of operating points. In case study, illustrative examples with the IEEE 30 bus system are shown.	en_US
dc.language.iso	en	en_US
dc.subject	Continuation Load Flow,	en_US
dc.subject	Induction Motors,	en_US
dc.subject	Voltage Stability	en_US
dc.title	Continuation load flow with a neuro fuzzy model of an induction motor for voltage stability analysis	en_US
dc.type	Technical Report	en_US