| نویسندگان | حامد هاشمی دزکی,علی محمد حریری,مریم السادات اخوان حجازی |
| نشریه | Sustainable Energy, Grids and Networks |
| شماره صفحات | 1 |
| شماره مجلد | 20 |
| ضریب تاثیر (IF) | 3.182 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2019-09-04 |
| رتبه نشریه | علمی - پژوهشی |
| نوع نشریه | الکترونیکی |
| کشور محل چاپ | ایران |
| نمایه نشریه | SCOPUS ,JCR |
چکیده مقاله
There is a knowledge gap about how the load modeling of smart grid affects the accuracy of the
analytical reliability evaluation process and its calculation time. This paper tries to fill such a research
gap by contributing to developing a methodology which is used to quantify the time reduction of the
smart grid reliability assessment provided by various load state reduction strategies. In this paper, four
novel load state reduction strategies (the aggregation of identical load states and time/magnitude/time
of use pricing-dependent ones) are developed. It is useful to determine the appropriate number of load
states according to the trade-off between the computing time and calculation accuracy. The sensitivity
analyses are performed to get insight into how the load modeling of smart grids is affected due to
various DG technology scenarios and their different penetration levels. To illustrate the advantages of
the proposed method, it is applied to IEEE 69-bus test system. The test results imply that a significant
time reduction of the reliability assessment process has been achieved while the desired accuracy
criteria have been satisfied.