TABLE II。 TYPICAL INDUSTRY DATA FOR LINE OUTAGE
Parameter Value
L 0。6488
T 0。1629
rL 20。8
rT 16。1
TABLE III。 PROBABILITY OF LINE CAPACITY
with 60% capacity factor is integrated with the power system, while all other assumptions are as same as in the previous example。 Table V shows the reliability assessment results。 It can be seen that when the transmission capacity is 60% of the wind capacity, the system reliability and the utilization of wind energy reduced significantly, comparing to the 80% capacity and full capacity scenarios。 The reliability capacity cost can be evaluated based on the addition of thermal units。 Assume that the FOR of the additional thermal units is 0。12。 The 60% capacity scenario needs 30 MW of additional thermal capacity to achieve the same reliability level as in the full capacity scenario。 It is also noticed that extra wind
generation capacity may be needed for the de-rated
Capacity Probability
0 0。00001354
One line in service 0。00734615
Two lines in service 0。99265031
TABLE IV。 EENS COMPARISON FOR 40% WIND CAPACITY FACTOR
transmission upgrade scenarios depending on the RPS target。
IV。Conclusions
Wind resource integration has significant impacts on the system reliability。 Although the deterministic reliability study
60% capacity plus outage 4。066654 11。51
TABLE V。 EENS COMPARISON FOR 60% WIND CAPACITY FACTOR
Transmission Model EENS (GWh) Consumed wind energy/Total consumed
energy (%)
Full capacity 2。175580 19。50
Full capacity plus outage 2。179758 19。45
80% capacity 2。204843 18。21
80% capacity plus outage 2。212937 18。16
60% capacity 2。415480 15。35
60% capacity plus outage 2。429566 15。30
For the 570 MW wind farm with 40% capacity factor in this example, it may be appropriate to build the transmission lines whose capacity is 60% of the wind farm capacity from the probabilistic reliability standpoint。 The transmission upgrade based on the full capacity of the wind farm does not provide much more benefit to the system than the upgrade based on 60% capacity。
The wind farm capacity factor may affect the selection of the target capacity of transmission upgrade。 Assume a wind farm
Probabilistic reliability assessment has been applied to wind resources integration in this paper。 It has been demonstrated that the deployment of wind generation needs to be coordinated closely with the deployment of conventional capacity。 The probabilistic reliability assessment can identify the reliability capacity cost for wind resource integration。 The reliability capacity cost can be estimated based on the addition of the conventional capacity that is needed to maintain system reliability。 概率风能模型的发电系统可靠性英文文献和中文翻译(8):http://www.youerw.com/fanyi/lunwen_99770.html