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与典型日负荷匹配的风电出力场景构建方法
引用本文:袁铁江,杨洋,董力通.与典型日负荷匹配的风电出力场景构建方法[J].电力建设,2000,43(11):132-141.
作者姓名:袁铁江  杨洋  董力通
作者单位:1.大连理工大学电气工程学院, 辽宁省大连市 116024;2.国网经济技术研究院有限公司,北京市 102209
基金项目:国家电网有限公司总部管理科技项目资助“高比例新能源区域电网消纳受阻因素智能辨识及辅助决策研究”(5108-202135033A-0-0-00)
摘    要:为了解决风电出力的随机性导致微电网并网规划运行时鲁棒性与计算效率难以平衡的问题,提出一种与典型日负荷场景匹配的风电出力场景构造方法。首先在微电网规划中重点考虑日负荷趋势和峰谷时段位置,利用隶属度函数提取日负荷曲线趋势和峰谷时段信息,并结合改进有序聚类提出典型日负荷选取方法;在典型日负荷的有效时间内,利用风电出力最大增加量和最大减少量,结合插值法提出风电场景构造方法。然后建立评价指标体系来评价典型日负荷选取与对应风电场景构造效果。最后利用电网数据验证所提模型的有效性。

关 键 词:微电网规划运行    场景构造    有序聚类    评价指标
收稿时间:2022-02-27

Construction Method of Wind Power Output Scenario Matching with Typical Daily Load
YUAN Tiejiang,YANG Yang,DONG Litong.Construction Method of Wind Power Output Scenario Matching with Typical Daily Load[J].Electric Power Construction,2000,43(11):132-141.
Authors:YUAN Tiejiang  YANG Yang  DONG Litong
Affiliation:1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, Liaoning Province, China;2. State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
Abstract:The randomness of wind power output makes it difficult to balance the robustness and computational efficiency of microgrid grid connection planning. A wind power output scenario construction method matching with typical daily load scenarios is proposed. The daily load trend and the location of peak and valley periods should be considered in the microgrid planning. The daily load curve trend and peak and valley period information are extracted by using the membership function, and combined with the improved ordered clustering, a typical daily load selection method is proposed; In the effective time of typical daily load, using the maximum increase and decrease of wind power output, combined with interpolation method, a wind power scene construction method is proposed. Then an evaluation index system is established to evaluate the selection of typical daily load and the construction effect of corresponding wind power scenarios. Finally, the effectiveness of the proposed model is verified by power grid data.
Keywords:microgrid planning and operation                                                                                                                        scene construction                                                                                                                        ordered clustering                                                                                                                        evaluating indicator
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