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作 者:刘若凡[1] 刘俊勇[1] 刘友波[1] 杨嘉湜 苟竞[1] 许立雄[1] 蒋长江[1] 陈晨[1] BAZARGAN Masoud
机构地区:[1]四川大学电气信息学院,四川成都610065 [2]国网四川省电力公司,四川成都610061 [3]阿尔斯通电网研究与技术中心
出 处:《电力自动化设备》2014年第10期69-74,80,共7页Electric Power Automation Equipment
基 金:国家自然科学基金资助项目(51261130472;512070-98);国网总部科技项目(5442YD120008)~~
摘 要:在传统运行规则制定方法的基础上,提出风电接入下断面极限传输功率(TTC)运行规则的场景聚类提取方法。以风电场出力-负荷水平为标准对网络状态进行场景聚类,在某场景下计算TTC风险值作为调度参考依据。规则的形成使用数据挖掘技术,分为样本生成、特征选择、规则提取3个步骤。综合所有场景调度信息,生成包含风电信息的TTC规则库。用IEEE 39节点系统进行考虑暂态安全的算例仿真,结果表明了所提方法提取的TTC调度信息能较好地体现电网运行状态与TTC间的关系。A scenario clustering method for extracting TTC(Total Transfer Capability) operating rules of transmission corridor integrated with wind power is proposed based on the formulation of conventional operating rules. The scenario clustering is carried out according to the output power of wind farm and the load level and the TTC risk calculated for a certain scenario is taken as the reference of dispatch. The data mining technique is applied in the formation of rules,including sample generation,feature selection and rule extraction. The TTC rule base containing the wind power information is generated by integrating the dispatch information of all scenarios. Case simulation considering transient security is carried out for IEEE39-bus system and results show that,the TTC dispatch information extracted by the proposed method reflects properly the relationship between power grid operation state and TTC.
关 键 词:风电 极限传输功率 场景聚类 运行规则 数据挖掘 风险
分 类 号:TM61[电气工程—电力系统及自动化] TM614
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