考虑大停电风险的多阶段电网扩展规划方法

发布时间：2018-06-23 20:25

本文选题：电网 + 扩展　；参考：《电力自动化设备》2014年06期

【摘要】：提出一种考虑大停电风险的多阶段电网扩展规划方法,并定义了一种幂律尾风险指标,通过评估停电规模尾分布的变化趋势来衡量规划方案的大停电风险。为了获取规划方案对应的停电统计数据,基于自组织临界理论构建了适用于多阶段电网扩展规划的OPA模型。该模型在慢动态中考虑了相邻规划阶段之间的耦合关系,在快动态中考虑了隐性故障,分别反映了长时间尺度内的电网扩展规划行为和短时间尺度内的连锁故障行为对系统全局动态特性的影响。另外,慢动态过程取消了基于平均效应的长期演化行为;快动态过程使用蒙特卡洛方法以获取足够多的停电数据。所提规划方法采用重要性采样技术和双层优化策略从不同层次减少规划流程的计算量。Garver 6节点系统的测试结果验证了所提规划方法的有效性。
[Abstract]:In this paper, a multistage power outage planning method considering blackout risk is proposed, and a power law tail risk index is defined to measure the blackout risk by evaluating the trend of the distribution of blackout scale tail. In order to obtain outage statistics corresponding to the planning scheme, an OPA model for multi-stage power network expansion planning is constructed based on self-organized criticality theory. In this model, the coupling relationship between adjacent planning stages is considered in slow dynamics, and the hidden fault is considered in fast dynamic. The effects of extended planning behavior in long time scale and cascading fault behavior in short time scale on the global dynamic characteristics of the system are respectively reflected. In addition, the slow dynamic process eliminates the long-term evolutionary behavior based on the average effect, and the fast dynamic process uses the Monte Carlo method to obtain enough outage data. The proposed planning method uses the importance sampling technique and the two-level optimization strategy to reduce the computational complexity of the planning process at different levels. The test results of the 6-bus system verify the effectiveness of the proposed planning method.
【作者单位】：湖南大学电气与信息工程学院;国网四川省电力公司电力科学研究院;
【基金】：国家自然科学基金资助项目(51137003,61233008)~~
【分类号】：TM715

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