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:袁航航 张自雷[1,2] 张继红 高艺洋[1] 荣存玉 王文龙 YUAN Hanghang;ZHANG Zilei;ZHANG Jihong;GAO Yiyang;RONG Cunyu;WANG Wenlong(School of Information Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China;Key Laboratory of Photothermal and Wind Power Generation in Inner Mongolia,Baotou 014010,China)
机构地区:[1]内蒙古科技大学信息工程学院,内蒙古包头014010 [2]内蒙古自治区光热与风能发电重点实验室,内蒙古包头014010
出 处:《电气应用》2023年第8期114-120,共7页Electrotechnical Application
摘 要:近些年来,以风电、光伏为代表的新能源技术迅猛发展,为提高微能源网中风光分布式能源的利用效率以及促进可再生能源消纳,将风、光、储能装置、负荷(热、电)热泵、储热罐和微电网的形式进行整合,构建一个并网型源-荷-储综合能源微电网系统,并与大电网进行连接,提高可再生能源的利用率,确保微能源网实现经济高效、可靠稳定的运行,对微能源系统进行优化调度研究。系统引入负荷侧的价格型需求响应机制,并以包含风光发电运行成本、储能运行维护成本和购售电成本等综合成本最小为优化目标,构建各微能源的出力约束、容量约束和功率平衡等约束条件的优化调度模型,并用MATLAB求解模型,最后得到一个更加经济、适应性更强的微能源网优化调度模型。In recent years,the rapid development of new energy technology represented by wind power and photovoltaics,in order to improve the utilization efficiency of wind and light distributed energy in the micro-energy grid and promote the absorption of renewable energy,this paper integrates the wind,solar,energy storage devices,load(heat,electricity)heat pumps,heat storage tanks,and microgrids to build a grid-connected source-load-storage integrated energy microgrid system,and connect with the large power grid to improve the utilization rate of renewable energy and ensure that the micro-energy grid achieves cost-effective,reliable and stable operation.Research on optimal dispatch of micro-energy system.The demand response mechanism of load is introduced,and the optimization goal is to minimize the comprehensive costs including wind and solar power generation operating costs,energy storage operation and maintenance costs,and electricity purchase and sales costs,and construct an optimal scheduling model of each microsource with output constraints,capacity constraints,power balance and other constraints,and solve the model with MATLAB,and finally obtain a more economical and adaptable micro-energy grid optimization scheduling model.
分 类 号:TM73[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:216.73.216.49