摘要
针对光伏电站的可靠性衡量问题,提出了一种基于贝叶斯网络模型的可靠性分析算法,并利用该算法进行算例分析、经济效益分析,得出不同的参数(比如光伏模块、直流熔断器、逆变器、交流断路器、交流汇流母线、交流隔离开关、并网断路器、升压变压器、电网因数等)影响光伏电站可靠性的概率,根据得出概率数据,用户能够较快地发现问题,及时消除影响光伏电站可靠性不高的因素,有利于光伏电站健康、良性发展。
Photovoltaic power plants play a vital role in energy applications and power generation.The reliability of photovoltaic power plants directly affects the performance of power generation and poses a potential hazard to users′safety.Aiming at the reliability measurement of photovoltaic power plants,a reliability analysis algorithm based on Bayesian network model is proposed,and the algorithm is used to analyze the case and analyze the economic benefits,and find the probability that different parameters(such as photovoltaic modules,DC fuses,inverters,AC circuit breakers,AC bus bars,AC disconnectors,grid-connected circuit breakers,step-up transformers,grid factors,etc)affect the reliability of PV power plants.According to the obtained probability data,the user can quickly find the problem and eliminate the factors that affect the reliability of the photovoltaic power station in time,which is beneficial to the healthy and benign development of the photovoltaic power station.
作者
井娟丽
姬淼
Jing Juanli;Ji Miao(Xi'an electricity College,Xi'an,Shaanxi 710000,China)
出处
《电子测量技术》
2019年第23期106-110,共5页
Electronic Measurement Technology
关键词
光伏电站
贝叶斯网络模型
概率
可靠性
太阳辐射
photovoltaic power station
Bayesian network model
probability
reliability
solar radiation