检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:黄曌 张乐[1] 卓敬清[1] 邓瑾 HUANG Zhao;ZHANG Le;ZHUO Jingqing;DENG Jin(Hunan College of Information,Changsha 410200,China;College of Railway Transportation,Hunan University of Technology,Zhuzhou 412007,China)
机构地区:[1]湖南信息职业技术学院,湖南长沙410200 [2]湖南工业大学轨道交通学院,湖南株洲412007
出 处:《电工技术》2021年第18期60-62,65,共4页Electric Engineering
基 金:湖南省科教联合基金项目“能源互联网中能量系统的协同式管理理论研究”(编号2017JJ5044)。
摘 要:立足于区域能源互联网视角,从用户供电需求出发,探寻了风力机和储能电池接入场景下的协同优化调度方法。利用MPPT控制提高分布式能源发电效率,并选择用户峰谷负荷差为优化目标,依据负荷变化实时计算储能电池的充放电容量,实现区域内负荷曲线的削峰填谷,保障电网安全有序运行,并基于MATLAB验证了控制策略的可行性。Based on the perspective of regional Energy Internet,considering the supply demand of clients,the coordinated regulation strategy between multiple sources under the access of both wind turbine and energy storage battery is explored in this paper.Firstly,MPPT method is adopted to maximize the power generation efficiency of wind turbine.Meanwhile,the difference between load peak and valley is taken as the optimization objective.The compensation capacity of the energy storage battery is dynamically calculated according to the real-time load change to realize peak cutting and valley filling of the regional load curve,and ensure the safe and orderly operation of the power system.Finally,the feasibility of the tactics is verified based on MATLAB.
分 类 号:TM734[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.254