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).