基于复杂网络理论的电网脆弱性研究
发布时间：2019-05-13 23:54
【摘要】：电能作为当今社会最主要的能源供给方式,影响着整个国家的工业发展、人民日常生活便捷、社会和谐稳定等各个方面,伴随着国家经济发展和人民生活水平的提高,为满足日益增大的电能负荷需求,电网也逐步朝着规模更大、联系更复杂、结构更加多样发展。然而在最近数十年内却发生的多起电网大规模连锁故障表明了大电网结构仍然具有其固有的脆弱性。从而引起国内外专家学者对大停电事故的广泛关注,研究发现利用传统基于微分方程的方法不能很好评估这种连锁故障,需要寻求新的方法对大电网进行全面有效的脆弱性评估,目前基于风险值指标和复杂网络理论方法成为研究电网脆弱性的热点之一 本文首先利用传统脆弱性指标对IEEE39节点电网进行了脆弱性评估,并建立改进的电网加权演化模型,利用随机攻击和蓄意攻击展现网络脆弱性差异；然后提出了基于随机游走算法的电网脆弱性节点和连边识别方法,该算法解决了电能传输路径并非节点对之间最短路径,而是一种概率性随机游走,利用时域仿真法验证所筛选指标是合理有效的；文章最后利用复杂网络理论中的社团结构算法对电网进行无功分区识别研究,社团结构与电网分区具有类似性,该算法是以电网结构自身特征为主而不是传统依据行政地域的划分,具有较好的适用性,并利用复杂网络基本特征量改进传统分区内电压主导节点的筛选方法,最后用时域仿真验证了结果的有效性。
[Abstract]:As the most important way of energy supply in today's society, electric energy affects the industrial development of the whole country, the convenience of people's daily life, social harmony and stability, and so on, with the development of national economy and the improvement of people's living standards. In order to meet the increasing demand of power load, the power grid is gradually developing towards larger scale, more complex connection and more diverse structure. However, a number of large-scale interlocking faults in recent decades show that the structure of large power grid still has its inherent vulnerability. As a result, experts and scholars at home and abroad pay more and more attention to blackouts. It is found that the traditional differential equation-based methods can not be used to evaluate this kind of interlocking faults. There is a need to find new ways to conduct a comprehensive and effective vulnerability assessment of large power grids, At present, based on risk index and complex network theory, it has become one of the hotspots to study the vulnerability of power grid. In this paper, the vulnerability assessment of IEEE39 node power grid is carried out by using the traditional vulnerability index. An improved weighted evolution model of power grid is established to show the difference of network vulnerability by random attack and deliberate attack. Then a method of identifying vulnerable nodes and connected edges of power grid based on random walk algorithm is proposed. The algorithm solves that the power transmission path is not the shortest path between node pairs, but a probabilistic random walk. The time domain simulation method is used to verify that the selected index is reasonable and effective. Finally, the reactive power partition identification of power grid is studied by using the community structure algorithm in complex network theory. The community structure is similar to the power grid partition. The algorithm is based on the characteristics of the power grid structure rather than the traditional division according to the administrative region, and has good applicability, and the selection method of voltage dominant nodes in the traditional partition is improved by using the basic characteristics of the complex network. Finally, the effectiveness of the results is verified by time domain simulation.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM711;O157.5
本文编号：2476276
[Abstract]:As the most important way of energy supply in today's society, electric energy affects the industrial development of the whole country, the convenience of people's daily life, social harmony and stability, and so on, with the development of national economy and the improvement of people's living standards. In order to meet the increasing demand of power load, the power grid is gradually developing towards larger scale, more complex connection and more diverse structure. However, a number of large-scale interlocking faults in recent decades show that the structure of large power grid still has its inherent vulnerability. As a result, experts and scholars at home and abroad pay more and more attention to blackouts. It is found that the traditional differential equation-based methods can not be used to evaluate this kind of interlocking faults. There is a need to find new ways to conduct a comprehensive and effective vulnerability assessment of large power grids, At present, based on risk index and complex network theory, it has become one of the hotspots to study the vulnerability of power grid. In this paper, the vulnerability assessment of IEEE39 node power grid is carried out by using the traditional vulnerability index. An improved weighted evolution model of power grid is established to show the difference of network vulnerability by random attack and deliberate attack. Then a method of identifying vulnerable nodes and connected edges of power grid based on random walk algorithm is proposed. The algorithm solves that the power transmission path is not the shortest path between node pairs, but a probabilistic random walk. The time domain simulation method is used to verify that the selected index is reasonable and effective. Finally, the reactive power partition identification of power grid is studied by using the community structure algorithm in complex network theory. The community structure is similar to the power grid partition. The algorithm is based on the characteristics of the power grid structure rather than the traditional division according to the administrative region, and has good applicability, and the selection method of voltage dominant nodes in the traditional partition is improved by using the basic characteristics of the complex network. Finally, the effectiveness of the results is verified by time domain simulation.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM711;O157.5
【引证文献】
相关博士学位论文 前1条
1 史进;基于复杂网络理论的电力系统网络模型及网络性能分析的研究[D];华中科技大学;2008年
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