Analytical model of power system hardening planning for long-term risk reduction
Analytical model of power system hardening planning for long-term risk reduction
复制标题
降低长期风险的电力系统强化规划分析模型
DOI：
10.1016/j.ijepes.2020.106449
复制
发表时间：
2021-02
影响因子：
5.2
通讯作者：
Zhou Jiahao
中科院分区：
文献类型：
--
作者：
Peng Lvbin;Hu Bo;Xie Kaigui;Tai Heng-Ming;Yan Jiahao;Zhou Jiahao
加固元件是降低电力系统元件故障引起的负荷损失风险的有效途径。针对长期风险的系统加固通常面临风险评估带来的计算负担问题。本文提出了一种确定性的硬化规划模型，以最大限度地减少负荷削减的长期系统风险，这减轻了计算成本的关注。为了完成这一任务，一组系统事件的负载损失和相应的负荷削减得到了改进的蒙特卡罗模拟。推导了系统风险指数关于元件不可用度的解析函数，并可快速计算出系统风险指数。然后，将解析函数应用于系统强化规划的随机问题，建立了确定性模型。提出了求解该模型的贪婪算法。所提出的模型和方法通过避免重复耗时的风险评估来提高计算效率。案例研究进行了RBTS，RTS 79，并修改RTS 96系统。与传统的可靠性优化方法（CROM）进行了比较。结果表明，该模型比现有的长期风险强化规划研究获得了更好的解，并且比CROM具有更高的计算效率。
Hardening components is an effective way to decrease the load loss risk caused by component outages in power systems. The system hardening against the long-term risk usually faces the computation burden problem brought up by the risk evaluation. This paper proposes a deterministic hardening planning model to minimize the long-term system risk of load curtailment, which eases the computational cost concern. To accomplish this task, a set of system events with load loss and corresponding load curtailments are obtained by an improved Monte Carlo simulation. An analytical function of system risk index with respect to the unavailability of components is derived and can calculate the risk index rapidly. Then, the deterministic model is constructed by applying the analytical function into the stochastic problem of system hardening planning. The greedy algorithm is developed to solve the model. The proposed model and method improve the computation efficiency by avoiding the repeated time-consuming risk evaluations. Case studies are conducted on the RBTS, RTS79, and a modified RTS96 system. Performances of the proposed model and method are compared with that of the conventional reliability optimization method (CROM). Results demonstrate that the model obtains better solution than the existing study on hardening planning for long-term risk, and has higher computation efficiency than CROM.
登录
查看更多内容
DOI：
10.1109/tpwrs.2014.2327753
发表时间：
2015-03
期刊：
2015 IEEE Power & Energy Society General Meeting
影响因子：
--
作者：
Bowen Hua;Z. Bie;S. Au;Wenyuan Li;Xifan Wang
通讯作者：
Bowen Hua;Z. Bie;S. Au;Wenyuan Li;Xifan Wang
影响因子：
6.6
作者：
N. Romero;Ningxiong Xu;L. Nozick;I. Dobson;Dean A. Jones
通讯作者：
N. Romero;Ningxiong Xu;L. Nozick;I. Dobson;Dean A. Jones
DOI：
10.1016/j.ins.2016.08.022
发表时间：
2016-11
期刊：
Inf. Sci.
影响因子：
--
作者：
Jialin Han;Guangquan Zhang;Yaoguang Hu;Jie Lu
通讯作者：
Jialin Han;Guangquan Zhang;Yaoguang Hu;Jie Lu
/- 800 kV 超高压直流输电系统的最佳可靠性分配
影响因子：
4.4
作者：
Hu Bo;Xie Kaigui;Tai Heng-Ming
通讯作者：
Tai Heng-Ming
DOI：
10.2307/3616473
发表时间：
1984-05
期刊：
The Mathematical Gazette
影响因子：
--
作者：
Jeffrey Dodgson
通讯作者：
Jeffrey Dodgson