基于功率预测的光储发电系统控制策略优化  

Control strategy optimization of optical storage power generation system based on power prediction

作　　者：王胜辉[1] 王政宇 陈姝 李潇潇 王志喜 WANG Shenghui;WANG Zhengyu;CHEN Shu;LI Xiaoxiao;WANG Zhixi(Shenyang Institute of Engineering,Shenyang Liaoning 110136,China;Siping Power Supply Company of State Grid Jilin Province Electric Power Co.,Ltd.,Siping Jilin 136000,China;Department of Liaoning Energy Investment(Group)Co.,Ltd.,Shenyang Liaoning 110000,China;Operation and Maintenance Department of Liaoning Solar Energy R&D Co.,Ltd.,Shenyang Liaoning 110136,China)

机构地区：[1]沈阳工程学院,辽宁沈阳110136 [2]国网吉林省电力有限公司四平供电公司,吉林四平136000 [3]辽宁能源投资(集团)有限责任公司,辽宁沈阳110000 [4]辽宁太阳能研究应用有限公司运维部,辽宁沈阳110136

出　　处：《电源技术》2021年第8期1055-1060,共6页Chinese Journal of Power Sources

基　　金：辽宁省“百千万人才工程”(辽人社函2020[78]号)。

摘　　要：高效的光储发电系统控制策略不仅可以提高系统的效率,还能平抑太阳能发电输出功率的波动、改善光伏发电的电能质量。提出了一种基于功率预测的光储发电系统优化控制策略。对光伏功率预测算法进行优化,将基于跟随行为的人工鱼群算法与BP神经网结合,利用基于跟随行为的人工鱼群算法优化神经网络的权值和阈值。利用优化后的光伏功率预测方法预测下一时段光伏的输出功率曲线并判断波动大小,将判断结果作为影响策略运行的主要因素之一,并根据不同的情况设计相应的工作模式。通过Matlab建模仿真,证明了优化后的控制策略能够更加有效地平抑光伏的输出波动。The control strategy of high efficiency optical storage power generation system can not only improve the system efficiency,but also calm the fluctuation of solar power output power and improve the power quality of photovoltaic power generation.This paper presents an optimal control strategy for optical storage power generation system based on power prediction.The photovoltaic power prediction algorithm is optimized.The artificial fish swarm algorithm based on following behavior is combined with BP neural network,and the weight and threshold of the neural network are optimized by using the artificial fish swarm algorithm based on following behavior.The optimized photovoltaic power prediction method is used to predict the PV output power curve in the next period and judge the fluctuation.The judgment result is taken as one of the main factors affecting the operation of the strategy,and the corresponding working mode is designed according to different situations.Through Matlab modeling and simulation,it is proved that the optimized control strategy can more effectively suppress the output fluctuation of photovoltaic.

关 键 词：光伏 功率预测 储能 控制策略 

分 类 号：TM615[电气工程—电力系统及自动化]