风电并网条件下供电系统安全管理研究

发布时间：2018-02-26 18:13

本文关键词： 项目管理风电并网供电系统安全评估　出处：《华北电力大学》2015年硕士论文　论文类型：学位论文

【摘要】：在现代能源与环境双重压力下,现代电力格局发生了很大的变革,以风能、太阳能为代表的清洁能源进入了大规模集中式开发为主,分布式开发为辅的阶段。然而,由于风电的间歇性和随机性,使得风电并网后对供电系统的安全管理带来了巨大挑战,特别是在含高渗透率风电的电网,这一现象更为突出。本文分析了风电并网对供电系统安全稳定及经济运行的影响,并提出了应对风电大规模并网的供电系统安全管理措施。首先从风电发展与风电消纳的角度分析了风电功率预测技术对于促进现代风电与供电系统协调发展的重要性；并从复杂系统安全理论的角度出发,分析了含高渗透率风电的供电系统的安全分析理论,阐述了可靠性评估理论、古典还原论和整体论方法以及复杂系统安全分析的自组织临界理论和脆弱性评估技术。然后分析了风电并网条件下供电系统安全管理现状及存在的问题,从电压稳定性,电能质量,供电可靠性等方面分析了风电并网对供电系统的影响和风电机组对电力系统运行状况的响应,指明了双馈异步风电机组(DFIG)低电压穿越技术(LVRT)与风电功率预测技术对实现高渗透率风电并网的重要性,为评估含风电供电系统的安全性提供科学的评判准则。为建立合理的指标体系评价风电并网后的供电系统安全等级及采取合理的安全性评估指标提供依据。接着提出了基于层次分析法的含风电供电系统的安全性评估方案,为风电并网条件下的供电系统安全分析及安全管理措施的制定提供依据。同时,针对高渗透率风电并网引起的供电系统安全性问题,以内蒙鄂尔多斯市为实例,采用层次分析法评估安全性等级,根据评估结果发现影响系统安全性的关键环节,并提出了加强关键环节的一些方法,主要有：针对供电系统中电力设备可靠性问题,提出了基于小波神经网络的电力设备温度预测方法,从而实现供电系统电力设备的温度预警机制,保证供电系统可靠运行；针对电源侧风电出力预测精度较低的问题,提出了基于多种群遗传算法(MPGA)优化的BP神经网络风电功率预测算法,从而为制定合理的调度决策方案提供数据支撑；针对风电并网后的供电系统调度问题,在探讨传统调度决策方法如机组组合的基础上,引入了一种新型的含风电供电系统的调度策略,即鲁棒经济调度。最后,通过分析风电并网后的安全隐患,从管理和技术两方面提出了应对风电并网时的供电系统安全问题的措施,细分到政府、供电单位、风电场等,为含高渗透率风电的供电系统安全管理提供有效的对策与分析方法。
[Abstract]:Under the dual pressure of modern energy and environment, great changes have taken place in the pattern of modern electric power. The clean energy, represented by wind and solar energy, has entered the stage of large-scale centralized development, supplemented by distributed development. Because of the intermittent and randomness of wind power, it brings great challenges to the safety management of power supply system after wind power is connected to the grid, especially in the power grid with high permeability wind power. This phenomenon is more prominent. This paper analyzes the influence of wind power grid connection on the safety, stability and economic operation of power supply system. The safety management measures of power supply system for large-scale wind power connection are put forward. Firstly, the importance of wind power prediction technology in promoting the coordinated development of modern wind power and power supply system is analyzed from the point of view of wind power development and wind power consumption. From the point of view of complex system safety theory, the safety analysis theory of power supply system with high permeability wind power is analyzed, and the reliability evaluation theory is expounded. Classical reductionism and holism, self-organizing criticality theory and vulnerability assessment technique for safety analysis of complex systems are presented. Then, the current situation and existing problems of power supply system safety management under grid-connected wind power system are analyzed, and the voltage stability is analyzed. The influence of wind power grid connection on power supply system and the response of wind turbine to power system operation condition are analyzed in aspects of power quality and power supply reliability. The importance of low voltage traversing technology (LVRTT) and wind power prediction technology for high permeability wind power grid is pointed out. It provides a scientific criterion for evaluating the safety of power supply system with wind power, and provides the basis for establishing a reasonable index system to evaluate the safety grade of power supply system after wind power is connected to the grid and to adopt reasonable safety evaluation index. The safety evaluation scheme of wind power supply system based on Analytic hierarchy process (AHP) is proposed. It provides the basis for safety analysis and safety management measures of power supply system under the condition of wind power grid connection. At the same time, aiming at the safety problems of power supply system caused by high permeability wind power grid connection, the paper takes Ordos City, Inner Mongolia, as an example. According to the evaluation results, the key links affecting the safety of the system are found, and some methods to strengthen the key links are put forward, including: aiming at the reliability problem of power equipment in power supply system, The temperature prediction method of power equipment based on wavelet neural network is put forward in order to realize the temperature warning mechanism of power equipment in power supply system and ensure the reliable operation of power supply system. A BP neural network wind power prediction algorithm based on multi-population genetic algorithm (MPGA) is proposed, which can provide data support for making a reasonable scheduling decision scheme. Based on the discussion of traditional dispatching decision methods such as unit combination, this paper introduces a new dispatching strategy of wind power supply system, that is, robust economic dispatch. From the aspects of management and technology, this paper puts forward some measures to deal with the safety problems of power supply system when wind power is connected to the grid, which can be divided into government, power supply units, wind farms, etc. It provides effective countermeasures and analysis methods for the safety management of power supply system with high permeability wind power.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM614

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