含分布式能源的配电系统可靠性分析研究

发布时间：2019-01-19 19:46

【摘要】：配电网可靠性分析是电力系统可靠性评估的重要内容。随着传统能源的大量消耗以及环境污染的加重,开发和利用清洁高效的分布式能源成为各国研究的焦点,而分布式能源的大量接入,使得传统的单电源辐射状配电网转换成多电源供电的网络结构。当配电网中有元件发生故障时,需要考虑主动控制策略以及微网运行方案,并且分布式能源具有随机性与波动性的特点,给配电网的可靠性分析的模型方法带来了巨大挑战。对此,本文提出了考虑分布式能源接入以及主动控制策略的配电网可靠性分析方法。首先,基于开关为边界对复杂配电网进行分区、编码,采用算法实现故障自动定位与分区,提高了配电网可靠性分析的效率。针对以往配电网可靠性分析只考虑永久可修复故障的不足,本文指标综合考虑永久可修复故障、瞬时故障以及检修停运,在此基础上建立配电自动化发展不同阶段的模型,基于IEEE RBTS-BUS6配电网对不含分布式能源的配电网进行可靠性计算,深入分析网络的可靠性指标以及不同配电自动化发展阶段、不同故障类型对可靠性指标的影响。其次,建立风机、光伏阵列、蓄电池、燃气轮机出力以及负荷波动模型,为更好的体现分布式能源出力的季节性以及区域性特点,本文中根据实际数据采用ARMA模型对风机和光伏阵列出力进行预测,蓄电池考虑多约束充放电模型。此外,考虑分布式能源的间歇性特点,在可靠性评估中考虑微网运行、负荷响应、基于遗传算法的最优切负荷等主动控制策略。在此基础上采用序贯蒙特卡洛模拟法对配电网可靠性进行分析,以含有分布式电源接入的IEEE RBTS-BUS6网络以及江苏地区典型网络进行可靠性评估。由于序贯蒙特卡洛模拟法仿真时间较长,本文采用伪序贯蒙特卡洛模拟法对配电网进行可靠性分析,其中非序贯蒙特卡洛模拟法用来进行抽样,而只在抽样到故障时采用序贯蒙特卡洛模拟法进行时序模拟获得故障序列,基于IEEE RBTS-BUS6网络算例表明该算法具有精度高,仿真速度快的优点。
[Abstract]:Distribution network reliability analysis is an important content of power system reliability evaluation. With the extensive consumption of traditional energy and the aggravation of environmental pollution, the development and utilization of clean and efficient distributed energy has become the focus of research in many countries, and a large number of distributed energy access. The traditional single-source radial distribution network is transformed into multi-power supply network structure. When the components in the distribution network fail, active control strategy and microgrid operation scheme need to be considered, and distributed energy has the characteristics of randomness and volatility, which brings a great challenge to the reliability analysis model of distribution network. In this paper, the reliability analysis method of distribution network considering distributed energy access and active control strategy is proposed. Firstly, the complex distribution network is partitioned and coded based on switch boundary. The algorithm is used to realize automatic fault location and partition, which improves the efficiency of reliability analysis of distribution network. In view of the deficiency that the reliability analysis of distribution network only considers permanent repairable faults, this paper synthetically considers permanent repairable faults, instantaneous faults and overhaul outages. On this basis, the models of different stages of distribution automation development are established. Based on the IEEE RBTS-BUS6 distribution network, the reliability of the distribution network without distributed energy is calculated, and the reliability index of the network and the influence of different fault types on the reliability index in different distribution automation stages are analyzed. Secondly, the models of fan, photovoltaic array, battery, gas turbine output and load fluctuation are established to better reflect the seasonal and regional characteristics of distributed energy output. In this paper, according to the actual data, ARMA model is used to predict the output force of fan and photovoltaic array, and the multi-constrained charging and discharging model is considered in the battery. In addition, considering the intermittent characteristics of distributed energy, the active control strategies such as microgrid operation, load response and optimal load shedding based on genetic algorithm are considered in reliability evaluation. Based on this, sequential Monte Carlo simulation method is used to analyze the reliability of distribution network, and the reliability evaluation of IEEE RBTS-BUS6 network with distributed power access and typical network in Jiangsu province is carried out. Due to the long time of sequential Monte Carlo simulation, the pseudo-sequential Monte Carlo simulation method is used to analyze the reliability of distribution network, and the non-sequential Monte Carlo simulation method is used for sampling. The sequential Monte Carlo simulation method is used to obtain the fault sequence only when sampling to fault. The example based on IEEE RBTS-BUS6 network shows that the algorithm has the advantages of high precision and fast simulation speed.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM732

【相似文献】