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考虑储能-智能软开关的主动配电网混合时间尺度鲁棒优化
引用本文:茹秋实,米雪峰,宋志刚,刘金涛,雷霞.考虑储能-智能软开关的主动配电网混合时间尺度鲁棒优化[J].中国电力,2022,55(9):129-139.
作者姓名:茹秋实  米雪峰  宋志刚  刘金涛  雷霞
作者单位:1. 国网甘肃省电力公司陇南供电公司,甘肃 陇南 742500;2. 西华大学电气与电子信息学院,四川 成都 610039
基金项目:国家电网有限公司科技项目(5227122000J5);国家自然科学基金资助项目(5187181)。
摘    要:随着配电网中光伏(photovoltaic, PV)发电渗透率增大,由于源/荷分布不均衡引起的馈线功率急剧波动、电压越限问题时有发生。提出一种考虑储能-智能软开关(soft open point, SOP)、光伏逆变器及无功电压控制 (var/voltage control, VVC)设备的主动配电网混合时间尺度鲁棒优化方法,以提高配网运行的经济性和稳定性。首先,通过在配电网线路末端间引入储能元件与SOP相结合(E-SOP)的柔性互联装置,建立计及多种调压设备的配电网日前-日内鲁棒优化模型;其次,建立基于鲁棒条件下的时序电压灵敏度逆变器下垂控制模型,以应对PV发电随机性强所带来的风险,达到维持系统电压稳定性、平衡配电网源/荷分布的目的;最后,以改进的IEEE 33节点系统为例进行仿真算例分析,验证了所提方法的有效性。

关 键 词:无功优化  主动配电网  混合时间尺度优化  两阶段鲁棒优化  智能软开关  
收稿时间:2022-03-25

Hybrid-Timescale Robust Optimization in Active Distribution Network with Energy Storage System-Soft Open Point
RU Qiushi,MI Xuefeng,SONG Zhigang,LIU Jintao,LEI Xia.Hybrid-Timescale Robust Optimization in Active Distribution Network with Energy Storage System-Soft Open Point[J].Electric Power,2022,55(9):129-139.
Authors:RU Qiushi  MI Xuefeng  SONG Zhigang  LIU Jintao  LEI Xia
Affiliation:1. Longnan Power Supply Company, State Grid Gansu Electric Power Company, Longnan 742500, China;2. School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
Abstract:Sudden fluctuation of feeder power and voltage over-limit caused by unbalanced source-load distribution in the distribution network often occur as the penetration rate of photovoltaic (PV) power generation increases. Therefore, this paper proposes a hybrid-timescale robust optimization model of active distribution network with energy storage system and soft open point (SOP), PV inverters, and voltage/var control (VVC) equipment, which improves the economy and stability of distribution network operations. Firstly, flexible interconnection devices combining SOP (E-SOP) are introduced between the ends of distribution network lines. Thus, a day ahead and intraday robust optimization model of distribution network considering various VVC equipment is built. Secondly, the inverter droop control model based on voltage sensitivity under robust situations is set up to deal with the risks of strongly stochastic PV generation. The model ensures the system voltage stability and balances the distribution of power source and load in the distribution network. Finally, the modified IEEE 33 bus system is utilized to verify the effectiveness of the proposed method.
Keywords:voltage/var control  active distribution network  hybrid-timescale optimization  two-stage robust optimization  soft open point  
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