【作者】 何婧；

【导师】 汪沨； 黄智伟；

【作者基本信息】 湖南大学 ， 电气工程（专业学位）， 2021， 硕士

【摘要】 随着经济社会的发展,用户对供电可靠性的要求不断提高,配电自动化是提高配电网供电可靠性的有效途径。配电自动化应用程度的不断加深促使配电网由传统的物理系统逐渐转变为信息-物理融合系统,信息技术的应用在大幅提高配电网配电网供电可靠性的同时,也带来了新的运行风险。在该背景下,本文首先对考虑集中式馈线自动化的配电网供电可靠性进行计算,旨在量化评估配电自动化对供电可靠性的提升作用;在此基础上,本文提出了一种计及通信可靠性影响的配电网供电可靠性评估解析法,量化评估信息环节失效对配电网供电可靠性的影响;以供电可靠性评估方法为基础,本文构建了配电自动化终端优化布局模型,在配电自动化终端选址选型方面给电力规划人员提供决策支持。论文的具体工作如下:1.提出了一种考虑集中式馈线自动化的配电网供电可靠性评估方法。该方法根据故障点与负荷点之间开关安装情况以及供电恢复路径情况划分不同的故障场景,给出了不同场景下负荷点可靠性指标的计算公式。在计算负荷点停电时间时将人工查找故障时间视为随故障点位置和终端安装情况变化的时间参量,并给出了人工查找故障时间的计算公式。相较于忽略人工查找故障时间或者将人工查找故障时间设置为定值的方法,本文方法能够得到更加准确的可靠性评估结果。2.提出了一种计及通信可靠性影响的配电网供电可靠性评估方法。基于配电信息物理系统的基本架构,建立了配电信息系统通信可靠性模型,在此基础上对考虑通信可靠性影响的终端失效概率进行计算。根据集中式馈线自动化故障处理逻辑,分析终端失效对故障定位、故障隔离、故障恢复过程的影响,推导在考虑终端多重失效情况下负荷点可靠性指标解析表达式,通过算例仿真验证了所提方法的有效性。3.通过分析配电自动化投资及收益之间的关系,构建了以综合投资费用现值最低为目标函数,供电可靠性提升要求及初始投资费用限制为双重约束的配电自动化终端优化布局模型。针对普通遗传算法的早熟收敛问题,引入多种群遗传算法求解终端布局模型。通过算例仿真验证了所提模型的有效性以及多种群遗传算法求解终端布局问题的优越性,详细分析了初始投资费用约束、人工故障排查速度、终端价格、终端失效概率、馈线段故障概率对终端布局结果的影响。更多还原

【Abstract】 With the development of economy and society,users have higher requirements for power supply reliability of distribution systems.Distribution automation(DA)is an effective way to improve the reliability of distribution networks.The continuous deepening application of DA promots the distribution to gradually develop from traditional physical system into cyber physical distribution system.Widespread application of information technology greatly improve s efficiency and reliability of distribution network,and also brings new operational risks.Under this circumstance,this paper calculates the power supply reliability of the distribution network considering centralized feeder automation,aiming to quantify the effect of distribution automation on the power supply reliability;on this basis,this paper proposes a distribution network reliability analytical calculation method taking into account the influence of information systems,aiming to quantify the impact of information link failure on the distribution system reliability indexes;based on the power supply reliability evaluation method,this paper establishs an optimization layout model of distribution automation termianals to provide decision support for power planners.The specific works of this paper are as follows:1.A reliability analytical evaluation method incorporating centralized feeder automation is introduced.This method divides different failure cases according to the switches type,load point and faulted branch location,and the analytical expression of ecah case is given.In this method,when calculating the power outage time of each load point,the fault location time is regarded as a time parameter that varies with the faulted branch location and the terminal installation,and the analytical expression of fault location time is given.Compared with the method ignoring the fault location time or setting the fault location time as a fixed value,the proposed method can obtain more accurate reliability evaluation results.2.A reliability analytical evaluation method considering the influence of information system is proposed.Based on the basic architecture of the power distribution information physical system,the communication reliability model of the power distribution information system is established,and the terminal failure probability is calculated.According to the centralized feeder automatic fault processing logic,the influence of terminal failure on the process of fault location,fault isolation and fault recovery is analyzed in detail.Based on this,the analytical expression of load point reliability index considering the multiple failures of the terminal is derived.The simulation results on IEEE RBTS BUS-2 verify the effectiveness of this method.3.By analyzing the relationship between distribution automation investment and income,a distribution automation terminal optimization layout model with the lowest comprehensive cost as the objective function,power supply reliability improvement requirements and initial investment cost constraints as dual constraints is established.Aiming at the premature convergence problem of ordinary genetic algorithms,a multi-group genetic algorithm is introduced to sol ve the terminal layout model.The effectiveness of the proposed model and the superiority of the multi-group genetic algorithm to solve the terminal layout problem are verified by simulation examples.The influence of investment cost constraints,crew patrolling speed,terminal price,terminal failure probability,and feeder section failure probability on the terminal layout results are analyzed in detail.更多还原