TY - GEN
T1 - Reliability Enhancement of LV Rural Networks using Smart Grid Technologies
AU - Ellery, Maximilian L
AU - Ndawula, Mike Brian
AU - Hernando Gil, Ignacio
PY - 2019/9/26
Y1 - 2019/9/26
N2 - This paper analyses the effect of new smart grid technologies (SGTs) on the reliability indices typically specified by distribution network operators in low-voltage rural distribution systems. Rural areas generally denoted as “thinly-populated”, are to a large extent neglected in the anticipated transformation of existing networks into the future smart grid. An innovative Monte Carlo simulation technique is refined in this analysis to model the stochastic failure rates of power components over a specific time period, which are then applied to network load flow analysis to assess the quality of supply enhancement of a modelled rural distribution network. The proposed method enables much faster and more refined reliability studies, allowing for larger data sets to capture the inherent uncertainty from the new SGTs. Simulation results providing base case reliability indices, and the addition of SGTs accumulated from models in previous works, provide scenarios used for comparison into SGT-effectiveness.
AB - This paper analyses the effect of new smart grid technologies (SGTs) on the reliability indices typically specified by distribution network operators in low-voltage rural distribution systems. Rural areas generally denoted as “thinly-populated”, are to a large extent neglected in the anticipated transformation of existing networks into the future smart grid. An innovative Monte Carlo simulation technique is refined in this analysis to model the stochastic failure rates of power components over a specific time period, which are then applied to network load flow analysis to assess the quality of supply enhancement of a modelled rural distribution network. The proposed method enables much faster and more refined reliability studies, allowing for larger data sets to capture the inherent uncertainty from the new SGTs. Simulation results providing base case reliability indices, and the addition of SGTs accumulated from models in previous works, provide scenarios used for comparison into SGT-effectiveness.
KW - Load modeling
KW - Reliability
KW - Smart grids
KW - Mathematical model
KW - Probability density function ,
KW - Solar power generation
KW - Analytical models
KW - rural distribution network
KW - renewable resources ,
KW - Monte Carlo Simulation
KW - smart grid
KW - renewable resources
KW - reliability performance
KW - monte carlo simulation
UR - https://ieeexplore.ieee.org/document/8849045
UR - http://www.scopus.com/inward/record.url?scp=85073328874&partnerID=8YFLogxK
U2 - 10.1109/SEST.2019.8849045
DO - 10.1109/SEST.2019.8849045
M3 - Conference contribution
SN - 978-1-7281-1157-5
T3 - SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
SP - 1
EP - 5
BT - 2019 International Conference on Smart Energy Systems and Technologies (SEST)
PB - IEEE
ER -
