摘要
随着清洁能源发电比例的增加,为了减轻微电网发电的随机性以及不确定性带来的影响,提高供电可靠性,对于微电网进行频率控制显得尤为重要。由于储能系统可以灵活存储或释放电能,利用增强学习算法的智能控制策略,调整光伏发电接入微电网时的微型燃气轮机以及储能系统的功率输出,从而抑制微电网频率波动。分析了微电网中各个部分的传递函数,推导了各部分的功率输出关系,开发了一类基于增强学习算法的控制器用于微电网的频率控制,仿真结果验证了该智能控制策略的可行性,可有效抑制微电网由于光伏发电不确定性引起的频率波动。
With the increase in the proportion of clean energy power generation, in order to reduce the influence of randomness and uncertainty of microgrid power generation and improve the reliability of power supply, it is particularly important to control the frequency of microgrids.Since the energy storage system can flexibly store or release electric energy, the intelligent control strategy of reinforcement learning is used to adjust the power output of the micro gas turbine and the energy storage system when the photovoltaic power generation is connected to the microgrid, thereby suppressing the frequency fluctuation of the microgrid. The transfer function of each part in the microgrid is analyzed, the power output relationship of each part is deduced, and a kind of output feedback controller is developed for the frequency control of the microgrid. The simulation results verify the feasibility of the intelligent control strategy, which can effectively suppress frequency fluctuations of microgrids due to uncertainty in photovoltaic power generation.
作者
姜展鹏
刘洋
刘守恒
郝立超
JIANG Zhanpeng;LIU Yang;LIU Shouheng;HAO Lichao(College of Electrical Engineering,Shenyang University of Technology,Shenyang,Liaoning 110870,China;CPI Northeast New Energy Development Co.,Ltd.,Shenyang,Liaoning 110170,China)
出处
《东北电力技术》
2023年第2期1-5,共5页
Northeast Electric Power Technology
基金
辽宁省教育厅科学技术研究项目(LQGD2020001)。
关键词
增强学习
微电网
光伏发电
频率波动
reinforcement learning
microgrid
photovoltaic power generation
frequency fluctuation
