Reliability Assessment of Future Power Distribution by using FMECA
Electricity networks operators must operate their network with a high degree of efficiency and liability. This
paper provides a background on reliability concept in power systems from both customer and utility perspectives. It presents
some common power system reliability evaluation metrics and a number of analytical and simulation methods used for
reliability assessment. This work discusses the models and methods used for reliability evaluation of distributed energy
resources (DER) through an example of wind turbines. It provides an introduction to DERs and describes the models
developed based on each analysis technique for wind generation reliability assessment. It provides the models and
approaches toward reliability evaluation of smart power distribution systems (SDS). SDS and three simulation models
developed for reliability analysis are discussed. Next, the required studies and sensitivity analysis are explained considering
different aspects of a smart grid, such as demand management, renewable generation and storage, customer interactions, etc.
An improved FMEA method was proposed for reliability evaluation of renewable generation, such as wind turbines. A
Markovian model was proposed to evaluate the reliability of wind farms where each state of the model represented the
number of similar wind turbines working at a time in order to reduce the computational burden compared with a two-state
Markov model. A number of simulation approaches for reliability evaluation were proposed which could address different
aspects of future power distribution systems.
Keywords - Distributed Energy Resources (DER), Smart Power Distribution Systems (SDS), Failure Mode, Effect, and
Criticality Analysis (FMECA), Monte Carlo Simulation (MCS).