Coordinated probabilistic optimal decision-making model for multi-area ATC with risk control
Huang, Y., Yang, Y., Wen, F., Liu, L., Wang, K., & Gao, C. (2013) Coordinated probabilistic optimal decision-making model for multi-area ATC with risk control. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 33(3), pp. 84-89.
In the decision-making of multi-area ATC (Available Transfer Capacity) in electricity market environment, the existing resources of transmission network should be optimally dispatched and coordinately employed on the premise that the secure system operation is maintained and risk associated is controllable. The non-sequential Monte Carlo simulation is used to determine the ATC probability density distribution of specified areas under the influence of several uncertainty factors, based on which, a coordinated probabilistic optimal decision-making model with the maximal risk benefit as its objective is developed for multi-area ATC. The NSGA-II is applied to calculate the ATC of each area, which considers the risk cost caused by relevant uncertainty factors and the synchronous coordination among areas. The essential characteristics of the developed model and the employed algorithm are illustrated by the example of IEEE 118-bus test system. Simulative result shows that, the risk of multi-area ATC decision-making is influenced by the uncertainties in power system operation and the relative importance degrees of different areas.
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|Item Type:||Journal Article|
|Additional Information:||Title in Chinese: 計及風險控制的多區域ATC概率優化協調決策模型與方法; Authors' name in Chinese: 黃裕春； 楊燕； 文福拴； 李力； 王珂； 高超.|
|Keywords:||Available transfer capacity, Benefit, Multi-objective decision-making, Models, NSGA-II, Risks|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||21 May 2013 23:18|
|Last Modified:||26 May 2014 21:30|
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