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计及价格弹性负荷及风电的随机安全约束经济调度
引用本文:张玮1,荀超2,黄夏楠3,邱向京2,于海波4,王辉5. 计及价格弹性负荷及风电的随机安全约束经济调度[J]. 陕西电力, 2021, 0(6): 116-123
作者姓名:张玮1  荀超2  黄夏楠3  邱向京2  于海波4  王辉5
作者单位:(1. 齐鲁工业大学(山东省科学院)电气工程与自动化学院,山东 济南 250353; 2. 国网福建省电力有限公司,福建 福州 350000; 3. 国网福建电力经济技术研究院,福建 福州 350000;4. 北京国电通网络技术有限公司,北京 100000; 5. 山东大学 电气工程学院, 山东 济南 250061)
摘    要:基于机会约束规划,提出一种计及价格弹性负荷响应及风电不确定性的随机安全约束经济调度模型。模型考虑了输电断面潮流机会约束,并通过设置安全概率水平,控制输电断面潮流越限的概率。利用潮流灵敏度分析方法将分支潮流约束、输电断面潮流约束线性化,进而将输电断面潮流机会约束转化为常规约束,最终将所建随机优化模型转化为确定性二次规划模型,验证了所提模型及方法的有效性。

关 键 词:风电  优化调度  需求响应  电力系统  不确定性

Stochastic Safety Constrained Economic Dispatch Considering Price Elastic Load and Wind Power
ZHANG Wei1,XUN Chao2,HUANG Xianan3,QIU Xiangjing2,YU Haibo4,WANG Hui5. Stochastic Safety Constrained Economic Dispatch Considering Price Elastic Load and Wind Power[J]. Shanxi Electric Power, 2021, 0(6): 116-123
Authors:ZHANG Wei1  XUN Chao2  HUANG Xianan3  QIU Xiangjing2  YU Haibo4  WANG Hui5
Affiliation:(1. School of Electrical Engineering and Automation, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250353,China; 2. State Grid Fujian Electric Power Company Ltd., Fuzhou 350000,China;3. State Grid Fujian Electric Power Economic & Technology Research Institute,Fuzhou 350000,China; 4. Beijing Guodiantong Network Technology Co. Ltd., Beijing 100000,China; 5. Department of Electrical Engineering,Shandong University,Jinan 250061,China)
Abstract:Based on chance constrained programming,a stochastic security constrained economic dispatching model considering price elastic load response and wind power uncertainty is proposed. The chance-constrained transmission interface flow constraints should be considered to control the probability of transmission interface flow limit violation via the parameter of security probability. The branch power flow constraints and transmission interface flow constraints are linearized by power flow sensitivity analysis method,and then the chance-constrained transmission interface flow are transformed into conventional constraints. Finally,the stochastic optimization model is transformed into a deterministic quadratic programming model. The effectiveness of the proposed model and method is verfied.
Keywords:wind power  optimal dispatching  demand response  electric power system  uncertainty
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