TITLE:
Reliability Analysis of Wind Energy Generation System Using Stochastic Method
AUTHORS:
Godwin Diamenu, Joseph Cudjoe Attachie, Christian Kwaku Amuzuvi
KEYWORDS:
Renewable Energy, Stochastic, Reliability, Availability, Transition Rate, Transition State
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.10 No.8,
August
16,
2022
ABSTRACT: Operators of renewable
energy systems (RESs) must always manage uncertainty to some extent to ensure
the reliability and the security of the electric power supply source. The
guiding principle in this regard is to ensure service reliability and quality
by balancing load variations with the variable renewable energy (VRE) sources.
If the power generated by these VRE sources is not properly managed in
conjunction with the varying load, the power grid may fail to achieve the
required balance. To ensure its reliable operation, reliability analysis is
vital for wind energy generation system (WEGS). This paper evaluated and
assessed the reliability of WEGS and a proposed varying load by first using a stochastic approach to model the WEGS and the proposed varying load
after which power generation indices were used to evaluate and assess the
performance of the model. The WEGS and the varying load were modelled
separately after which the two were combined into one model. Full availability,
partial availability, the expected energy not supplied (EENS) or loss of energy
expectation (LOEE), the mean or average instantaneous electric power generation
and mean instantaneous generation deficiency were
the indices used for the evaluation of the WEGS. The results indicated that the
electric power generation will meet the power demand during most of the
transition states of the WEGS with the expectation that the variation in the
load will not be at fast pace and in large quantum.