引用本文:吴云亮,沈阳武,林 超,彭晓涛,孙元章,许良柱.基于多元非线性回归模型的环型中压配电网最大供电能力评估方法[J].电力自动化设备,2013,33(12):
WU Yunliang,SHEN Yangwu,LIN Chao,PENG Xiaotao,SUN Yuanzhang,XU Liangzhu.Maximum power supply capability evaluation based on multivariate nonlinear regression model for medium-voltage loop distribution network[J].Electric Power Automation Equipment,2013,33(12):
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基于多元非线性回归模型的环型中压配电网最大供电能力评估方法
吴云亮1, 沈阳武1, 林 超1, 彭晓涛1, 孙元章1, 许良柱2
1.武汉大学 电气工程学院,湖北 武汉 430072;2.凯里供电局,贵州 凯里 556000
摘要:
基于潮流跟踪理论确定线路功率的主导开闭所负荷,并建立线路功率与主导开闭所负荷之间的功率分摊多元非线性回归模型。在此基础上,提出以变电站下网功率之和最大为目标函数,以电网N - 1供电安全准则下的变电站主变容量限制、线路传输容量限制及开闭所容量限制为约束条件的环型配电网最大供电能力模型。利用序列二次规划方法求解该模型的全局最优解。8节点环网算例和凯里2015年规划双环配电网算例结果验证了所提方法的可行性。
关键词:  中压配电网  环型供电  最大供电能力  模型  序列二次规划
DOI:
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基金项目:
Maximum power supply capability evaluation based on multivariate nonlinear regression model for medium-voltage loop distribution network
WU Yunliang1, SHEN Yangwu1, LIN Chao1, PENG Xiaotao1, SUN Yuanzhang1, XU Liangzhu2
1.School of Electrical Engineering,Wuhan University,Wuhan 430072,China;2.Kaili Electric Power Corporation,Kaili 556000,China
Abstract:
The load of dominant switching station is determined based on the power flow tracing theory and the multivariate nonlinear regression model of power allocation between transmission line power and dominant switching station is established,based on which,a maximum power supply capability model of loop distribution network is built. It takes the maximum sum of substation output power as its objective function and the capability limits of main transformer,transmission line and switching station under the grid N-1 power supply security standard as its constrains. The sequential quadratic programming algorithm is adopted to calculate its global optimal solution. Results of case study for an 8-bus loop distribution network and the 2015’ planned double loop distribution network of Kaili verify the feasibility of the proposed method.
Key words:  medium-voltage distribution network  loop power supply  maximum power supply capability  models  sequential quadratic programming

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