Title :
A novel probabilistic load model and probabilistic power flow
Author :
Nassar, Mohammed E. ; Salama, M.M.A.
Abstract :
A precise planning and operation of the power system requires an accurate load model that account for the load stochastic nature. In addition, the probabilistic power flow is a vital tool for power system engineers. Hence, this paper presents a novel probabilistic load model that models the load with an average load curve in addition to a probabilistic error around this average value. The goodness of fit tests are used to find the best fit PDF to model that error. A probabilistic power flow algorithm is presented, this algorithm employs the proposed load model and solves the power flow using the forward/backward sweep technique.
Keywords :
load flow; probability; forward/backward sweep technique; goodness of fit tests; probabilistic error; probabilistic load model; probabilistic power flow algorithm; Computational modeling; Computers; Conferences; Decision support systems; Load flow; Load modeling; Probabilistic logic; forward backward sweep; power system modeling; probabilistic load model; probabilistic power flow;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-5827-6
DOI :
10.1109/CCECE.2015.7129391
