受端电网动态无功补偿优化配置研究
发布时间：2018-08-04 15:01
【摘要】：随着交直流输电技术的发展和电网容量的不断增大,电网的稳定问题日益尖锐。交直流输电技术需要一定量的无功功率电源作支撑;电网容量的增大使得线路上传输的无功功率增大,故障后所需的无功功率支撑也变大,这些都使得电力系统的运行稳定性严重恶化。同时,受端电网中用电量大的工业用户(如生产铝和各种稀有金属的企业)也可能对系统的稳定产生不良影响。铝电厂在电压严重下降时需要降低本身的用电负荷,而带有大量重负荷的异步电动机,当无功补偿特别动态无功补偿不足时,容易引起电压崩溃。为提高受端系统的电压稳定性,需要对系统进行动态无功补偿。而这需要解决动态无功补偿优化配置过程中的布点、容量等问题。围绕以上问题,本文开展了以下几方面研究。本文首先从研究电压薄弱区域角度的出发,利用K-means聚类技术和灵敏度分析方法,研究系统的关键故障和无功配置灵敏节点。此方法能够在之后无功配置的优化过程中,缩小变量的维度,提高计算效率。为了定量评估实际大规模电网暂态电压稳定性,论文接着从暂态电压稳定的判据出发,分析故障后节点电压曲线的变化,提出用于判断节点和系统电网稳定性的指标。指标的计算可直接利用实际系统运行过程中进行的故障时域仿真结果数据,无需额外的仿真分析。同时该指标能够直接衡量系统在不同安装位置和不同安装容量下,系统的电压稳定性强弱,以量化计算安装无功补偿装置后系统的暂态电压稳定性。其次,为了兼顾各种性能指标,论文提出一个多目标优化模型,并基于NSGA-Ⅱ算法得到模型最优解的Pareto前端,作为无功补偿装置安装配置方案的最优解群。考虑到新型电力负荷设备的大规模应用,对供电系统电压质量提出了更高要求。论文提出基于质量工程理论的质量损失函数,对电压骤降引起的国民经济损失进行评估,从而将故障后的电压稳定状况转化为经济费用指标,在最优解的Pareto前端的基础上,对动态无功补偿进行最终优化。实现无功补偿装置在实际系统中技术性和经济性的统一。
[Abstract]:With the development of AC / DC transmission technology and the increasing of power network capacity, the problem of power network stability is becoming more and more acute. The AC / DC transmission technology needs a certain amount of reactive power supply as the support, the increase of the power network capacity makes the reactive power transmission on the line increase, and the reactive power support after the fault becomes larger. All these make the operation stability of power system deteriorate seriously. At the same time, industrial users (such as those producing aluminum and various rare metals) who consume large amounts of electricity in the receiving grid may have a negative impact on the stability of the system. When the voltage of aluminum power plant drops seriously, it is necessary to reduce its own electric load, but the asynchronous motor with a large amount of heavy load will easily cause voltage collapse when the reactive power compensation is especially dynamic and reactive power compensation is insufficient. In order to improve the voltage stability of the receiver system, dynamic reactive power compensation is needed. This need to solve the dynamic reactive power compensation in the process of optimal allocation of points, capacity and other issues. Around above question, this article has carried out the following several aspects research. In this paper, the key faults and reactive power configuration sensitive nodes of the system are studied by using K-means clustering technique and sensitivity analysis method. This method can reduce the dimension of variables and improve the computational efficiency in the later reactive power allocation optimization process. In order to quantitatively evaluate the transient voltage stability of large scale power network, the paper analyzes the change of node voltage curve after the fault, and puts forward the index to judge the stability of power system and node. The calculation of the index can directly utilize the time domain simulation data of the fault during the operation of the actual system without the need for additional simulation analysis. At the same time, this index can directly measure the voltage stability of the system under different installation positions and different installation capacities, so as to quantitatively calculate the transient voltage stability of the system after the installation of reactive power compensator. Secondly, in order to take into account various performance indexes, a multi-objective optimization model is proposed, and the Pareto front end of the optimal solution of the model is obtained based on NSGA- 鈪，
本文编号：2164245
[Abstract]:With the development of AC / DC transmission technology and the increasing of power network capacity, the problem of power network stability is becoming more and more acute. The AC / DC transmission technology needs a certain amount of reactive power supply as the support, the increase of the power network capacity makes the reactive power transmission on the line increase, and the reactive power support after the fault becomes larger. All these make the operation stability of power system deteriorate seriously. At the same time, industrial users (such as those producing aluminum and various rare metals) who consume large amounts of electricity in the receiving grid may have a negative impact on the stability of the system. When the voltage of aluminum power plant drops seriously, it is necessary to reduce its own electric load, but the asynchronous motor with a large amount of heavy load will easily cause voltage collapse when the reactive power compensation is especially dynamic and reactive power compensation is insufficient. In order to improve the voltage stability of the receiver system, dynamic reactive power compensation is needed. This need to solve the dynamic reactive power compensation in the process of optimal allocation of points, capacity and other issues. Around above question, this article has carried out the following several aspects research. In this paper, the key faults and reactive power configuration sensitive nodes of the system are studied by using K-means clustering technique and sensitivity analysis method. This method can reduce the dimension of variables and improve the computational efficiency in the later reactive power allocation optimization process. In order to quantitatively evaluate the transient voltage stability of large scale power network, the paper analyzes the change of node voltage curve after the fault, and puts forward the index to judge the stability of power system and node. The calculation of the index can directly utilize the time domain simulation data of the fault during the operation of the actual system without the need for additional simulation analysis. At the same time, this index can directly measure the voltage stability of the system under different installation positions and different installation capacities, so as to quantitatively calculate the transient voltage stability of the system after the installation of reactive power compensator. Secondly, in order to take into account various performance indexes, a multi-objective optimization model is proposed, and the Pareto front end of the optimal solution of the model is obtained based on NSGA- 鈪，
本文编号：2164245
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