摘要
控制发电厂的电压、电流、功率的稳定性,是促进电力市场中新能源消纳的重要手段。为有效缓解新能源消纳控制效率低等问题,提出构建基于主从博弈模型的各光伏电站最大无功容量的无功功率变垂控制,以最大限度地利用各光伏电站的无功容量,并利用主从博弈算法模型设置无功下垂系数,提高新能源消纳控制效率。结果表明,随着新能源光伏发电厂运行时间增加,正常电流持续增加,最大电流高达0.9 A,但电流变化差异较大。而本文提出的主从博弈模型,可以将电流控制在0.4 A范围内,且电流变化差异较小,不受光伏发电负载的影响,可以有效对新能源消纳进行控制。且主从博弈模型控制电压的恢复时间仅为40 ms,比传统深度学习模型控制效率快50%。
Controlling the stability of voltage,current and power of power plants is an important means to promote the consumption of new energy in the electricity market.In order to effectively alleviate the problem of low efficien⁃cy of new energy consumption control,the reactive power droop control of the maximum reactive power capacity of each photovoltaic power station based on the master-slave game model is proposed to maximize the reactive power capacity of each photovoltaic power station,and the master-slave game algorithm model is used to set the reactive power droop coefficient to improve the efficiency of new energy consumption control.The results show that with the increase of the operation time of the new energy photovoltaic power plant,the normal current continues to increase,and the maximum current is as high as 0.9 A,but the current changes are quite different.The master-slave game model proposed in this paper can control the current in the range of 0.4 A,and the difference of current change is small,which is not affected by the load of photovoltaic power generation,and can effectively control the consump⁃tion of new energy.The recovery time of the control voltage of the master-slave game model is only 40 ms,which is 50%faster than the control efficiency of the traditional deep learning model.
作者
张月桥
汪彦慧
赵倩
ZHANG Yueqiao;WANG Yanhui;ZHAO Qian(Yantai Vocational College,Yantai 264670,Shandong China)
出处
《粘接》
2025年第8期143-146,共4页
Adhesion
基金
烟台职业学院横向项目(项目编号:HX202214)。
关键词
电力市场
主从博弈模型
新能源消纳
光伏发电
electricity market
master-slave game model
new energy consumption
photovoltaic power generation
