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基于行业负荷预测技术的城市核心配电网自适应规划

Self-adaptive Planning of Urban Core Distribution Network Based on Industry Load Forecasting Technology

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【作者】 肖晶陈晋周恒俊王蓓蓓王琛李扬

【Author】 XIAO Jing;CHEN Jin;ZHOU Hengjun;WANG Beibei;WANG Chen;LI Yang;Nanjing Power Supply Company;Jiangsu Electric Power Design Institute;School of Electrical Engineering,Southeast University;

【机构】 南京供电公司江苏省电力设计院东南大学电气工程学院

【摘要】 用户报装容量增长迅速,然而配电站利用率并不高,降低配电站的建设成本并提高其利用率成为缓解城市配电网建设运营压力的重要手段之一。本文通过实用系数和阶段系数进行行业负荷发展变化精细化挖掘,提出了基于行业负荷预测技术的配电网自适应规划模型,负荷点的分配采用基于Voronoi图理论的分配方法。该模型充分考虑到不同行业负荷阶段发展特点,以规划期内总成本最小化为目标,自适应优化配电网分阶段建设投资方式。在满足用户供电可靠性要求情况下,降低了配电站建设资金压力,提高配电站的利用率,实现配电网资源配置的优化。最后,用算例说明本模型的有效性。

【Abstract】 The applications for capacity by users are growing rapidly,however,the utilization rate of distribution substation is not high,so reducing the construction cost of distribution substation while increasing itsutilization rate is one important means to relieve the construction and operation pressure of urban distribution network.In this paper,the development and change of industry load is finely mined with practical coefficient and staged coefficient,and a self-adaptive planning model for distribution network is proposed based on the industry load forecasting technology.The distribution of load points is solved by using a distribution method based on the Voronoi diagram theory,which takes full account of the characteristics of loads in different industries and different development stages.To minimize the total cost in the planning period,the stage-by-stage construction/investment style of distribution network are optimized self-adaptively.In this way,the fund pressure of distribution substation construction is reduced while meeting the users’ requirements of power supply reliability,which improves the utilization rate of distribution substation and optimizes the resource allocation of distribution network.Finally,the effectiveness of the established model is verified by an example.

【基金】 江苏省电力公司科技资助项目(J2016045)
  • 【文献出处】 电力系统及其自动化学报 ,Proceedings of the CSU-EPSA , 编辑部邮箱 ,2017年12期
  • 【分类号】TM715
  • 【被引频次】5
  • 【下载频次】170
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