含风—光电场的电力系统概率潮流计算

发布时间：2019-05-27 04:19

【摘要】：随着化石能源日趋枯竭以及低碳经济发展的需要，风力发电和光伏发电等洁净的可再生能源发电越来越受到世界各国的普遍重视。然而由于风速和太阳能光照强度具有较大的随机性和间歇性，风电机组和光伏发电的有功出力均会产生随机变化，大规模风电和光伏发电并网将对电力系统的安全运行和最优潮流产生较大影响。本文采用概率潮流分析方法对含风光互补发电系统的电力系统的安全性进行了研究。首先介绍了概率潮流计算的数学研究基础和分析工具，给出了半不变量、Gram-Charlier级数、Nataf分布等数学概念的定义，以及Matpower工具在潮流计算中的应用方法。其次，，建立了基于Gram-Charlier级数和Nataf逆变换的含风-光电场的概率潮流计算模型。给出了风电场和光伏电场的的出力概率模型，提出了一种基于Nataf逆变换的风电场风速相关性处理方法，建立了基于Gram-Charlier级数和半不变量的支路、节点概率潮流线性化模型，建立了发电机停运及支路随机断线模型。最后，给出了含风-光电场的概率潮流分析算法流程，在Matlab环境下应用Matpower工具箱以IEEE-57节点系统为例进行了电力系统概率潮流分析。算例中在IEEE57节点系统的不同节点（发电机节点和不含发电机节点处）分别并入风电场、光伏电场以及风光互补发电场，考虑风速相关性、发电机停运、支路随机断线的影响，分析了风电场、光伏电场以及风光互补发电场对电力系统节点电压越限概率和系统潮流分布的影响。概率潮流分析可以提供风光互补发电系统并网对系统支路潮流的概率分布、并网节点电压的概率分布、并网节点电压越限概率等信息，并可用于指导运行人员根据系统运行状况决定是否需要采取预防措施以及制定优化的预防控制措施和紧急准备预案，使系统保持在较高的安全运行水平。
[Abstract]:With the increasing depletion of fossil energy and the need of low-carbon economy, clean renewable energy power generation, such as wind power generation and photovoltaic power generation, has been paid more and more attention by all countries in the world. However, due to the great randomness and intermittent nature of wind speed and solar light intensity, the active power output of wind turbine and photovoltaic power generation will change randomly. The grid connection of large-scale wind power and photovoltaic power generation will have a great impact on the safe operation and optimal power flow of power system. In this paper, the probabilistic power flow analysis method is used to study the security of power system with wind and wind complementary power generation system. Firstly, the mathematical research basis and analysis tool of probabilistic power flow calculation are introduced, and the definitions of mathematical concepts such as semi-invariant, Gram-Charlier series, Nataf distribution and so on, as well as the application method of Matpower tool in power flow calculation are given. Secondly, a probabilistic power flow calculation model with wind-optical field based on Gram-Charlier series and Nataf inverse transformation is established. The output probability model of wind farm and photovoltaic field is given, a wind speed correlation processing method based on Nataf inverse transformation is proposed, and a branch and node probability power flow linearization model based on Gram-Charlier series and semi-invariant is established. The models of generator outage and branch random disconnection are established. Finally, the algorithm flow of probabilistic power flow analysis with wind-optical field is given, and the probabilistic power flow analysis of power system is carried out by using Matpower toolbox in Matlab environment. The probabilistic power flow of power system is analyzed by taking IEEE-57 node system as an example. In the example, the different nodes of IEEE57 node system (generator node and without generator node) are merged into wind farm, photovoltaic electric field and wind complementary power plant respectively, taking into account the influence of wind speed correlation, generator shutdown and branch random line break. The effects of wind farm, photovoltaic field and wind / wind complementary power field on the probability of voltage overrun and the distribution of power flow in power system are analyzed. The probabilistic power flow analysis can provide the probability distribution of the grid-connected power flow to the branch power flow of the grid-connected power generation system, and the probability that the voltage of the connected node exceeds the limit, and so on. It can be used to guide operators to decide whether preventive measures need to be taken according to the operation status of the system, as well as to formulate optimized preventive and control measures and emergency preparation plans, so as to keep the system at a high level of safe operation.
【学位授予单位】：天津职业技术师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM744;TM61

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