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融合最大功率点追踪的光伏发电功率全局控制研究 被引量:1

Research on Global Power Controlof Solar Power Generation Based on Maximum Power Point Tracking
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摘要 不确定自然环境因素的影响下,光伏发电输出功率的非线性特征增加了其控制难度,导致新能源发电的利用率偏低。为解决该问题,基于最大功率点追踪技术,提出光伏发电功率全局控制新方法。结合辐照强度、光照温度等外界条件,建立光伏发电模型。利用均匀光照下的最大功率点追踪方法,构建比例因子对追踪动态响应速度的影响模型。在光照不均匀条件下,将单峰值非线性特征曲线转变为多峰值非线性特征曲线,求解多峰值非线性特征的全局最大值问题,利用蚁群算法选取高信息素路径作为最优解,实现发电功率全局控制。采用simulink软件构建光伏发电仿真模型,分析不同辐照强度条件下的光伏发电功率控制效果。经实验验证,所提方法能够适应多辐照强度与变化辐照强度等条件,提升了新能源利用率与新能源发电的效益回报,具备投入实践应用的条件。 Under the influence of uncertain natural environmental factors,the nonlinear characteristics of the output power of photovoltaic power generation increase its control difficulty,resulting in the low utilization of new energy power generation.To solve this problem,a new global control method for photovoltaic power generation is proposed based on maximum power point tracking technology.The photovoltaic power generation model is established based on the external conditions such as irradiation intensity and illumination temperature.Using the maximum power point tracking method under uniform illumination,the influence model of the scale factor on the tracking dynamic response speed is constructed.Under the condition of uneven illumination,the single peak nonlinear characteristic curve is transformed into multi peak nonlinear characteristic curve,and the global maximum problem of multi peak nonlinear characteristic is solved.The ant colony algorithm is used to select the high pheromone path as the optimal solution to realize the global control of power generation.The simulation model of photovoltaic power generation is built by using Simulink software,and the power control effect of photovoltaic power generation under different irradiation intensity is analyzed.The experimental results show that the proposed method can adapt to the conditions of multiple irradiation intensity and varying rradiation intensity,improve the utilization rate of new energy and the benefit return of new energy power generation,and have the conditions for practical application.
作者 何佳仪 邢智杰 王桂林 HE Jiayi;XING Zhijie;WANG Guilin(State Grid Shanghai Electric Power Company,Shanghai 200061,China)
出处 《工业加热》 CAS 2023年第5期53-57,共5页 Industrial Heating
基金 国网上海市电力公司科技项目(52090D200012) 国家自然科学基金资助项目(65573355)。
关键词 最大功率点追踪 光伏发电 发电功率 全局控制 蚁群算法 maximum power point tracking photovoltaic power generation generating power global control ant colony
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