Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm

Shalash, Nadheer A. and Abu Zaharin, Ahmad (2014) Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm. In: IEEE 8th International Power Engineering and Optimization Conference (PEOCO 2014) , 24-25 March 2014 , Langkawi. pp. 258-264..

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Abstract

The standard deviation of load level uncertainty in power system reliability assessment has a different value for each load level leading to complexity iterations required in the convergence of Monte Carlo algorithm. In this present work, the fuzzy system agent perspective would be used to control such convergence. Two agents are developed based on fuzzy parameters of Monte Carlo i.e. current with its means and variances; the other agent is the probability of outage capacity for each state. These agents shall be applied in terms of the loss of load probability (LOLP) and loss of load expectation (LOLE) which when implemented and compared based on a Malaysian distribution network (DISCO-Net). The obtained outcomes showed that the fuzzy parameters of Monte Carlo provided a better limitation for variance techniques in uncertainty load levels.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Multi-agent system; Reliability indices; Monte Carlo Simulation; Fuzzy model
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	07 Jul 2014 08:20
Last Modified:	02 Feb 2018 02:11
URI:	http://umpir.ump.edu.my/id/eprint/5804
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