|تعداد مشاهده مقاله||2,477,415|
|تعداد دریافت فایل اصل مقاله||1,746,070|
|Journal of Electrical and Computer Engineering Innovations (JECEI)|
|مقاله 6، دوره 7، شماره 1، فروردین 2019، صفحه 35-45 اصل مقاله (1.37 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22061/jecei.2019.5392.215|
|H. Berahmandpour* 1؛ S. M. Kouhsari2؛ H. Rastegar2|
|1Niroo Research Institute (NRI), Tehran, Iran|
|2Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran|
|تاریخ دریافت: 17 بهمن 1396، تاریخ بازنگری: 21 خرداد 1397، تاریخ پذیرش: 13 آبان 1397|
|Background and Objectives: Uncertainty and variability are two main specifications of wind generation and the ability of the power system to overcome these challenges is called flexibility. The flexibility index is a measure to evaluate the flexibility level of the power system mainly to achieve the best level system flexibility.|
Methods: Flexibility index should show a good view of the ability of the power system and also be easily converted to an equivalent cost to be combined with the operation cost function. So, in this paper by using economic dispatch simulation for the economic trade-off between the generation cost and the cost of flexibility, the best level of system flexibility in the presence of wind farms considering unit constraints and system loss is achieved. Where the difference between flexibility index in the no wind base case and the flexibility index in each time zone with wind incorporation is defined as the flexibility penalty by the suitable penalty factor. The combination of generation cost and flexibility cost makes the main part of objective function.
Results: The results on the test system verify the proposed method where by increasing penalty factor, improvement in flexibility index is achieved but the generation cost will be increased. So, it shows a good economic trade-off between generation cost and flexibility value. Also the desired flexibility level can be obtained by changing the penalty factor in each wind power penetration. So, the result of the sensitivity analysis shows the best level of flexibility regarding operation cost.
Conclusion: In this paper a new flexibility index is introduced especially for wind power incorporation and for real time operation purpose. This index can be combined by economic dispatch objective function as the penalty (cost) for economic trade-off analysis and to show the best flexibility level of generation system in each operation point.
|flexibility index؛ wind farm؛ real time operation؛ cost of flexibility؛ trade off|
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