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含高渗透分布式电源配电网灵活性提升优化调度方法
引用本文:王洪坤,王守相,潘志新,王建明.含高渗透分布式电源配电网灵活性提升优化调度方法[J].电力系统自动化,2018,42(15):86-93.
作者姓名:王洪坤  王守相  潘志新  王建明
作者单位:智能电网教育部重点实验室(天津大学);石河子大学机械电气工程学院;国网江苏省电力有限公司
摘    要:高渗透率分布式电源接入配电网,加剧了配电网的波动性和不确定性,为提高配电网应对不确定扰动的能力,针对含高渗透率分布式电源配电网的灵活性提升开展研究。首先,分析了含高渗透率分布式电源配电网的灵活性需求。其次,从配电网容量灵活充裕度和分布式电源接纳的灵活适应性两个方面,提出了线路容量裕度、变压器向上容量裕度、变压器向下容量裕度、净负荷波动率、净负荷最大允许波动率5个配电网灵活性评价指标。进而构建了在灵活性指标约束下计及可中断负荷及储能的配电网灵活性提升的多目标优化调度模型。仿真结果表明,通过灵活性资源的优化调度,可以有效提升含高渗透率分布式电源的配电网灵活性,提高配电网接纳分布式电源的能力。

关 键 词:分布式电源  灵活性评价指标  可中断负荷  优化调度
收稿时间:2017/12/25 0:00:00
修稿时间:2018/7/3 0:00:00

Optimized Dispatching Method for Flexibility Improvement of Distribution Network with High-penetration Distributed Generation
WANG Hongkun,WANG Shouxiang,PAN Zhixin and WANG Jianming.Optimized Dispatching Method for Flexibility Improvement of Distribution Network with High-penetration Distributed Generation[J].Automation of Electric Power Systems,2018,42(15):86-93.
Authors:WANG Hongkun  WANG Shouxiang  PAN Zhixin and WANG Jianming
Affiliation:Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China,Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China,State Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, China and State Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, China
Abstract:High-penetration distributed generations(DGs)connected into the distribution network leads to fluctuation and uncertainty in distribution network. In order to improve the capability of uncertainty treatment of distribution network, the flexibility enhancement of distribution network with high-penetration DG is studied. Firstly, the flexibility demand of distribution network with high DG penetration is explored. Then, five distribution network flexibility evaluation indexes are proposed, which include line capacity margin, transformer capacity margin upward, transformer capacity margin downward, net load fluctuation rate and maximum allowable net load fluctuation rate. The indexes represent the flexibility adequacy of distribution network capacity and the flexibility adaption of the embedded distributed generations, respectively. A multi-objective optimal scheduling model is established to improve the flexibility considering interruptible loads and energy storage. Simulation results show that the flexibility of the distribution network with high-penetration DGs can be improved by optimizing the scheduling of the flexible resources, and the hosting capability of distribution network for DG accommodation can increase.
Keywords:distributed generation(DG)  flexibility evaluation index  interruptible load  optimized dispatching
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