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文章摘要
基于配网功率预估的输配网全局潮流计算
Transmission network and distribution network flow calculation based on distribution network power prediction
Received:September 04, 2017  Revised:September 04, 2017
DOI:
中文关键词: 输配网潮流  主从分裂法  配网功率预估  配网初值修正
英文关键词: transmission network and distribution network flow, master-slave splitting method, distribution network power prediction,initial value revision on distribution network calculation
基金项目:中国南方电网有限责任公司科技项目(090000KK52150070)
Author NameAffiliationE-mail
shishuaibin Shenzhen Power Supply Co.Ltd. 305560455@qq.com 
wangqing Shenzhen Power Supply Co.Ltd. 1007337215@qq.com 
yulongfei* South China University of Technology 1394247698@qq.com 
qiuguobin South China University of Technology 821476441@qq.com 
zengjiang South China University of Technology zengxy@scut.edu.cn 
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中文摘要:
      在输配网全局潮流计算中,当前的需求是有效减少配网潮流计算量并保证收敛精度。对此,本文提出一种基于配网功率预估的输配网全局潮流计算方法。首先,建立边界点交互功率预估函数,在此基础上构建主从迭代和预估迭代交替使用的输配网潮流计算模型,通过主从迭代得到配网功率和边界点电压,求解功率预估函数参数进行预估迭代,减少了主从迭代次数。在潮流迭代的过程中不断修正预估函数,使功率预估值不断逼近真实值,保证了潮流的收敛精度。采用修正函数对配网潮流计算初值进行修正,使初值更接近真实值,减少了每次主从迭代中配网子迭代次数。仿真及其分析表明,本文所提方法在提高计算速度方面效果非常显著,同时计算结果具有很小的误差。
英文摘要:
      The current demand is to effectively reduce the power flow calculation of distribution network and to ensure the convergence accuracy in global power flow calculation. According to above this paper presents a global flow calculation based on distribution network power prediction. Construct boundary power predicting function and then build master-slave splitting iteration flow model and predicting iteration flow model for being used interchangeably. The distribution network power flow and boundary node voltage are obtained by master-slave splitting iteration and then power prediction function which reduce the iteration of master-slave splitting by predicting iteration can be obtained. The prediction function will be revised during master-slave iterative computation so that convergence result can be accurate. Modifying initial value of distribution network flow calculation with revising function makes initial value closer to the real value, which help reduce iteration of distribution network calculation. The results of practical example show that the proposed algorithm can significantly reduce the computing time while its result is of little error.
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