摘要
太阳能光伏发电是继风力发电后另外一个被寄予厚望以代替传统发电的可再生能源发电技术。它异于常规电源的运行特性使得关于它的系统发电充裕度评估技术与传统方法有所不同。基于序贯蒙特卡洛方法,综合考虑影响光伏功率输出的主要因素:太阳光辐照度的时变特性、光伏面板的输出功率特性、环境温度的年度变化特性和光伏电站的配置等,建立了光伏电站的发电可靠性评估模型。在Matlab中编制程序,并将上述模型加入RBTS可靠性测试系统中进行仿真计算,评估增加光伏后的系统可靠性,同时在该结果基础之上对系统承载峰荷能力进行研究,从而给出并网光伏可靠性收益客观评价。
Solar photovoltaic (PV) power is a kind of promising renewable energy generation technology, which is expected to replace traditional fossil fuel-fired power generation after wind power. Its operational characteristics, which are different from conventional generation, make the difference between the method to assess generation adequacy of power grid containing PV generation system and of those only containing conventional generation. Based on sequential Monte Carlo method and comprehensively considering main factors influencing PV power output, such as the time-varying solar irradiance, power output characteristics of solar panels, annual variation characteristics of ambient temperature, configuration of PV generation station and so on, a generation reliability assessment model for PV generation station is built. Developing a program for reliability analysis by Matlab and adding above-mentioned model into RBTS to perform simulation, the system reliability of power grid after grid-integration of PV station is assessed. Besides, based on the simulation results, the peak load carrying capability is researched, thus an objective assessment on reliability benefit of grid-integrated PV station can be given.
出处
《电网技术》
EI
CSCD
北大核心
2012年第10期1-5,共5页
Power System Technology
关键词
光伏发电系统
可靠性
蒙特卡洛仿真
峰荷承载能力
photovoltaic generation system
reliability
Monte Carlo simulation
peak load carrying capability