Determination of weak points based on risk theory and application to transmission network planning
Zhe Liu , Hongjie Jia , Yuan Zeng , Chao Qin
Transactions of Tianjin University ›› 2012, Vol. 18 ›› Issue (1) : 38 -45.
In the traditional power transmission network planning, deterministic analysis methods are widely used. In such methods, all contingencies are deemed to have the same occurrence probability, which is not reasonable. In this paper, risk assessment is introduced to the process of transmission network planning considering the probabilistic characteristics of contingencies. Risk indices are given to determine the weak points of the transmission network based on local information, such as bus risk, line overload risk, contingency severity. The indices are calculated by the optimal cost control method based on risk theory, which can help planners to quickly determine weak points in the planning and find solution to them. For simplification, only line overload violation is considered. Finally, the proposed method is validated by an IEEE-RTS test system and a real power system in China from two aspects. In the first case, the original system is evaluated by the proposed method to find the weak points, and then four planning schemes are established, among which the best scheme is selected. In the second case, four initial planning schemes are established by combining the experiences of planners, and after the evaluation by using the proposed method, the best planning scheme is improved based on the information of weak points in the initial schemes, and the risk of improved scheme is reduced from 42 531.86 MW·h per year to 4 431.26 MW·h per year.
risk assessment / weak point / transmission network planning / risk theory
| [1] |
|
| [2] |
NERC. TPL-002-0b System Performance Following Loss of a Single Bulk Electric System Element (Category B)[S]. NERC, 1997. |
| [3] |
Kilter J, Reinson A, Kraav R. Influence of system protection to Estonian power system security[C]. In: Proceedings of Electric Power Quality and Supply Reliability Conference. Kuressaare, 2010. 23–28. |
| [4] |
Elizondo D C, de La Ree J, Phadke A G et al. Hidden failures in protection systems and their impact on widearea disturbances[C]. In: Proceedings of IEEE PES Winter Meeting. Columbus, 2001. |
| [5] |
|
| [6] |
Yang Dongjiao, Liu Xinyu, Sun Lu et al. Application of PRA methodology in Chongqing transmission system[C]. In: International Conference on Power System Technology. Hangzhou, 2010. |
| [7] |
|
| [8] |
Wang Bo, You Dahai, Yin Xianggen et al. A method for assessing power system security risk[C]. In: Asia-Pacific Power and Energy Engineering Conference. Chengdu, 2010. |
| [9] |
|
| [10] |
Rossmaier J, Chowdhury B. Development of a new system vulnerability index — The overload risk index[C]. In: Power Symposium, NAPS’ 08. Calgary, 2008. |
| [11] |
|
| [12] |
Dwivedi Ajendra, Yu Xinghuo, Sokolowski Peter. Identifying vulnerable lines in a power network using complex network theory[C]. In: IEEE International Symposium on Industrial Electronics. Seoul, 2009. |
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
Vitall V, McCalley J D, Van Acker V et al. Transient instability risk assessment[C]. In: Proceedings of Power Engineering Society Summer Meeting. Edmonton, 1999. |
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
Zhang P, Lee S T, Sobajic D. Moving toward probabilistic reliability assessment methods[C]. In: International Conference on Probabilistic Methods Applied to Power Systems. Ames, 2004. |
| [21] |
|
| [22] |
U. S.-Canada Power System Outage Task Force. Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations[R], 2004. |
| [23] |
|
/
| 〈 |
|
〉 |