光伏发电系统全周期运维与发电扰动特性诊断分析

发布时间：2018-04-09 20:45

  本文选题：光伏发电　切入点：运维设计　出处：《沈阳农业大学》2017年硕士论文

【摘要】：太阳能是当今最具发展前景的可替代能源,具有无污染、可再生的诸多优点。太阳能光伏发电近年来发展迅速技术日趋成熟,但光伏电站仍然存在成本高、效率低、经济性差等问题,严重制约其进一步推广与应用。究其原因有二,一是光伏系统容易受到环境因素的影响,如何利用气象因素判断光伏系统运行趋势进而采取调度措施是提高光伏电站经济性的研究重点;二是光伏电站系统结构复杂,如果不加以精心维护将大大缩短光伏电站的运营寿命,造成经济上的损失。本文以沈阳某光伏发电示范电站为研究对象,通过对其监测数据及运维情况的分析和研究,总结影响系统发电的原因、制定适用于中小型光伏发电电站的运行维护方案,实践光伏系统全周期运营理念。将对发展规划和产业调整以及激励和引导国家光伏行业的健康发展,具有一定的指导意义。本文从上述两个方面入手,进行的主要研究如下:(1)介绍了光伏电站的主要构造,明确了光伏系统中如光伏组件、逆变器等重要部分,简要介绍了光伏系统获取监测数据的监控系统。遵循光伏电站全周期思想,将光伏系统检测与运维加入光伏电站运营计划中,为中小型光伏电站设计了完善的光伏系统运维方案,并对以沈阳某光伏示范电站的运维数据为例,对中小型光伏发电系统的运行状况予以评价。(2)在光伏电站监测系统的监测数据中,收集发电功率、发电时间、发电量、环境数据、发电效率等光伏系统重要参数,对光伏发电系统的输出特性进行分析研究,总结出不同季节、不同天气等条件下系统的发电情况,探究光伏系统与气候条件深层关系。(3)从环境因素对发电功率的影响入手,分析太阳辐照强度、环境温度、风速、风向以及气压等气象因子对发电功率的影响程度,并且对比分析气象因素对其作用程度变化的规律,建立气象因子与发电功率之间的回归模型,为光伏发电系统的功率进行短期预测提供理论依据。
[Abstract]:Solar energy is the most promising alternative energy with many advantages of non-pollution and renewable.The rapid development of solar photovoltaic power generation technology is becoming more and more mature in recent years, but photovoltaic power plants still have the problems of high cost, low efficiency, poor economy and so on, which seriously restrict their further promotion and application.There are two reasons for this: one is that photovoltaic system is easy to be affected by environmental factors, how to use meteorological factors to judge the operating trend of photovoltaic system and then take dispatching measures is the focus of research to improve the economy of photovoltaic power station;Second, the structure of photovoltaic power plant system is complex, if it is not carefully maintained, the operating life of photovoltaic power station will be shortened greatly, resulting in economic losses.This paper takes a demonstration photovoltaic power station in Shenyang as the research object, through the analysis and research of its monitoring data and operation and maintenance situation, summarizes the reasons that affect the power generation of the system, and formulates the operation and maintenance scheme suitable for the small and medium-sized photovoltaic power station.Practice the whole cycle operation concept of photovoltaic system.It will be of guiding significance to the development planning and industrial adjustment, as well as to encourage and guide the healthy development of the national photovoltaic industry.Starting from the above two aspects, the main research in this paper is as follows: 1) the main structure of photovoltaic power station is introduced, and the important parts of photovoltaic system such as photovoltaic module, inverter and so on are defined.This paper briefly introduces the monitoring system for photovoltaic system to obtain monitoring data.According to the idea of whole cycle of photovoltaic power station, the detection and operation of photovoltaic system are added into the operation plan of photovoltaic power station, and a perfect operation and maintenance scheme of photovoltaic system is designed for small and medium-sized photovoltaic power station. The operation and maintenance data of a photovoltaic demonstration power station in Shenyang is taken as an example.In the monitoring data of photovoltaic power station monitoring system, the important parameters of photovoltaic system, such as generation power, generation time, electricity generation, environmental data, generation efficiency and so on, are collected.The output characteristics of photovoltaic power generation system are analyzed and studied, and the power generation situation of the system under different seasons and different weather conditions is summarized. The deep relationship between photovoltaic system and climate conditions is explored.The influence of solar radiation intensity, ambient temperature, wind speed, wind direction and pressure on power generation is analyzed.The regression model between meteorological factors and generation power is established to provide theoretical basis for short-term power prediction of photovoltaic power generation system.
【学位授予单位】：沈阳农业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM615
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本文编号：1728076