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:梁纪峰 范辉 李顺[3] 胡文平 李铁成 杨军[3] 吴赋章 LIANG Ji-feng;FAN Hui;LI Shun;HU Wen-ping;LI Tie-cheng;YANG Jun;WU Fu-zhang(State Grid Hebei Electric Power Co., Ltd., Electric Power Research Institute, Shijiazhuang 050021, China;Hebei Province Energy Internet Simulation Modeling and Control Enterprise Key Laboratory (in preparation), Shijiazhuang 050021, China;School of Electrical and Automation, Wuhan University, Wuhan 430072, China)
机构地区:[1]国网河北省电力有限公司电力科学研究院,石家庄050021 [2]河北省能源互联网仿真建模与控制企业重点实验室(筹),石家庄050021 [3]武汉大学电气与自动化学院,武汉430072
出 处:《科学技术与工程》2022年第15期6130-6138,共9页Science Technology and Engineering
基 金:河北省省级科技计划新一代电子信息技术创新专项(20314301D)。
摘 要:面对海量灵活资源参与系统运行调节,精准的电力用户互动潜力画像是提升需求侧响应策略实施有效性的基础。而作为现实经济人,用户对不同用电场景和时空电价呈现出差异化的响应特征,致使电力用户参与系统运行调节的互动潜力难以刻画。为此,提出了考虑用户响应度的电力用户互动潜力画像技术。首先,采用改进型的电量需求弹性矩阵建立了用户对不同时空电价的响应模型;其次,定义了8个反映用户响应度的需求响应特征指标;最后,采用基于相关性特征选择原理和最佳优先搜索策略从8个需求响应特征指标中提取用户互动潜力最大相关特征制定可靠且精简的用户画像。算例分析表明,文中所提精选需求响应特征指标方法能有效反映用户对不同时空电价的响应度且所绘制的用户互动潜力画像具有可靠性和精简性。In the face of massive and flexible resources participating in system operation and adjustment,accurate power user interaction potential portraits are the basis for improving the effectiveness of demand-side response strategies.As a real economic man,users show differentiated response characteristics to different power consumption scenarios and temporal and spatial electricity prices,which makes it difficult to characterize the interactive potential of power users to participate in system operation and regulation.A power user interaction potential portrait technology that takes into account user responsiveness was proposed.Firstly,the improved electricity demand elasticity matrix was used to establish the user's response model to different time and space electricity prices.Secondly,eight demand response characteristic indicators reflecting user responsiveness were defined.Finally,the principle of selection based on correlation characteristics and the best priority were adopted to extracts the relevant features with the greatest user interaction potential from the eight demand response feature indicators to formulate reliable and streamlined user portraits.The analysis of calculation examples shows that the responsiveness of users to different time and space electricity prices are reflected effectively by the selected demand response characteristic index method proposed in this paper,and the drawn portraits of user interaction potential are reliable and concise.
关 键 词:用户响应度 互动潜力 用户画像 需求响应特征指标 相关性特征选择
分 类 号:TM714[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:216.73.216.30