含风电配电网电压稳定分析与无功优化策略

发布时间：2018-02-11 11:20

本文关键词： 含风电配电网静态电压稳定连续潮流电压稳定指标动态无功优化　出处：《哈尔滨工业大学》2016年硕士论文　论文类型：学位论文

【摘要】：风能是目前开发技术最成熟,最具市场前景的新能源之一。随着配电网智能化程度的提高以及风力发电技术的进一步发展,未来配电网中风电机组的装机容量也将逐渐增加,在就地消纳风电资源,提高配电网整体电压水平的同时,也会对系统的电压稳定性以及日常的运行维护带来一定的影响。如改变配电网传统的单一电源结构,导致线路潮流反复改变,造成部分节点电压越限以及网络中的有载调压变压器和并联电容器组动作次数增加等。对含风电配电网的电压稳定性展开研究,合理优化配电网无功补偿策略,从而更加高效地开发和利用风能资源,具有重要的理论和现实意义。本文首先对风电机组的无功调节范围和并网最大准入容量进行了研究。基于双馈风电机组的稳态数学模型计算了其无功可调范围随有功输出的变化关系,然后以满足风电机组无功约束和网络静态安全约束作为前提条件,对风电机组在配电网中的并网最大准入容量进行计算。验证了定电压控制策略下,配电网可以消纳更大容量的风电输出功率。其次,研究了风电机组的控制策略、有功输出、接入位置等因素对配电网电压稳定性的影响。本文分别采用连续潮流电压崩溃点算法和基于戴维南等值的电压稳定指标,对上述因素对配电网静态电压稳定影响程度进行具体分析。IEEE 33节点系统的算例仿真表明,风电机组采用定电压控制的效果要略好于定功率因数控制,分散接入配电网的效果要好于集中接入方式。最后,本文提出了计及电压稳定指标要求的动态无功优化策略。风电机组接入配电网对其中的变压器分接头调整和并联电容器组的投切都会产生明显影响。本文采用的动态无功优化考虑了相关设备一天动作次数的限制,并且在目标函数中还包含了基于戴维南等值的电压稳定指标,通过合理分配各目标函数的权重,可以在减少网损的同时兼顾提高配电网的电压稳定性,目标优化采用自适应粒子群算法来求解。IEEE 33节点配电系统和美国PGE 69节点系统中的算例验证了本文所提算法的有效性,具有一定的实用价值。
[Abstract]:Wind energy is one of the most mature and promising new energy sources. With the improvement of distribution network intelligence and the further development of wind power generation technology, the installed capacity of wind turbine units in distribution network will increase gradually in the future. At the same time, it will affect the voltage stability of the system and the daily operation and maintenance, such as changing the traditional single power supply structure of the distribution network, while increasing the overall voltage level of the distribution network by absorbing the wind power resources on the spot, and improving the overall voltage level of the distribution network. As a result of repeated changes in line power flow, some node voltage overruns and the increase in the number of on-load voltage regulating transformers and shunt capacitor banks in the network, the voltage stability of the distribution network with wind power is studied. Rational optimization of reactive power compensation strategy of distribution network, thus more efficient development and utilization of wind energy resources, It has important theoretical and practical significance. Firstly, the reactive power regulation range and the maximum admission capacity of wind turbine are studied in this paper. Based on the steady-state mathematical model of doubly-fed wind turbine, the adjustable range of reactive power is calculated. The changing relation of active power output, Then the maximum access capacity of wind turbine in distribution network is calculated with the premise of satisfying reactive power constraint and network static security constraint, and the constant voltage control strategy is verified. Distribution network can absorb more capacity of wind power output. Secondly, the control strategy of wind turbine is studied, and the active power output is studied. The influence of access location and other factors on the voltage stability of distribution network. In this paper, the continuous power flow voltage collapse point algorithm and the voltage stability index based on Davinan equivalent are adopted, respectively. This paper analyzes the influence of the above factors on the static voltage stability of distribution network. The simulation results of IEEE 33-bus system show that the effect of constant voltage control is slightly better than that of fixed power factor control. The effect of decentralized access to distribution network is better than centralized access. Finally, In this paper, a dynamic reactive power optimization strategy considering the requirements of voltage stability index is proposed. The adjustment of transformer tap and the switching of shunt capacitor banks will be affected obviously by wind turbine connecting to distribution network. Dynamic reactive power optimization takes into account the limitation of the number of daily movements of related equipment. And the objective function also includes the voltage stability index based on Davinan equivalent. By distributing the weight of each objective function reasonably, the network loss can be reduced and the voltage stability of distribution network can be improved simultaneously. In the objective optimization, an adaptive particle swarm optimization algorithm is used to solve the IEEE33-bus distribution system and the PGE 69-bus system in the United States. The results show that the proposed algorithm is effective and has some practical value.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM712;TM714.3

【相似文献】