摘要
光伏、风力新能源发电随机性较强导致能源不易消纳,由此提出一种基于改进ADMM的新能源发电与新能源汽车动态消纳微网控制模型。利用留存分析法改进LSTM模型用以预测新能源的发电功率和新能源汽车充电负荷,达到预知供电能力和用电负荷的目的;通过改进的ADMM模型根据预测供电能力和用户负荷的差额,对新能源汽车充电负荷进行控制,实现新能源发电量动态控制消纳。实验结果表明,该方法相比于传统方法,可以提高57%的能源利用率。
Aimed at the problem that the strong randomness of photovoltaic and wind power generation leads to difficulties in energy consumption,a new energy generation and new energy vehicle dynamic consumption microgrid control model based on improved ADMM is proposed.The LSTM model was improved by the retained analysis method to predict the generation power of new energy and the charging load of new energy vehicles,so as to achieve the purpose of predicting the power supply capacity and power load.The improved ADMM was used to control the charging load of new energy vehicles according to the difference between the predicted power supply capacity and the predicted user load,so as to achieve dynamic control and consumption of new energy generation.Experimental results show that this method can improve the energy utilization rate by 57%compared with the traditional method.
作者
陈思宏
杨俊杰
hen Sihong;Yang Junjie(School of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 201306,China;Shanghai DianJi University,Shanghai 200090,China)
出处
《计算机应用与软件》
北大核心
2024年第5期49-53,84,共6页
Computer Applications and Software
基金
国家自然科学基金项目(61401269,61572311)
上海市教育发展基金会和上海市教育委员会“曙光计划”项目(17SG51)。
关键词
新能源发电
新能源汽车
留存分析
改进LSTM
改进ADMM
动态控制消纳
New energy power generation
New energy vehicles
Retention analysis
Improved LSTM
Improved ADMM
Dynamic control and consumption