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CN 32-1180/TP

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计及充换放储一体化电站的主动配电网故障恢复
作者:
作者单位:

1.上海市政工程设计研究总院集团有限公司 第一设计研究院;2.上海电力大学 电气工程学院;3.国网浙江慈溪市供电有限公司

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基金项目:

国家自然科学基金青年科学基金项目;上海绿色能源并网工程技术研究项目


Fault Recovery of Active Distribution Network considering Charging-Swapping-Discharging-Storage Integrated Station
Author:
Affiliation:

1.First Design Research Institute,Shanghai Municipal Engineering Design Institute GROUP CO,LTD;2.Department of Electrical Engineering,Shanghai University of Electrical Power;3.China Grid Zhejiang Cixi Power Supply Co,Ltd

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    摘要:

    建立了电动汽车区间负荷模型和充换放储一体化电站(一体站)紧急负荷支撑区间模型,并提出一体站区间负荷紧急支撑策略及其孤岛区间负荷供电范围划分策略。基于区间理论分析,以系统孤岛负荷、开关动作次数和网损分别作为不同层的优化目标,建立主动配电网故障恢复多层优化区间模型。提出混沌模拟退火帝国竞争算法对故障恢复区间模型进行优化求解,并提出基于仿射数的区间Dist-Flow法用于潮流计算。算例验证表明,本文所提的计及一体站的主动配电网故障恢复方法具有快速性和有效性。

    Abstract:

    This paper establishes an interval load model of electric vehicles, an emergency load support interval model of a charging-swapping-discharging-storage integrated station (CSDSIS), and an interval load emergency support strategy, and an isolated island division strategy for power supply range of interval load for a CSDSIS. Based on the analysis of interval theory, a multi-layer optimization interval model of fault recovery of active distribution network (ADN) is established by taking the isolated island load, switching action times and power loss as the optimization objectives, respectively. Chaotic simulated annealing imperial competition algorithm is proposed to optimize the fault recovery interval model, and an interval Dist-Flow method based on affine number is proposed for power flow calculation. Cases demonstrate that the proposed fault recovery method of ADN taking CSDSIS into account is fast and effective.

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引用本文

何晨可,韦 钢,袁 丁,等.计及充换放储一体化电站的主动配电网故障恢复[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190920001.
HE Chenke,WEI Gang,YUAN Ding,et al.Fault Recovery of Active Distribution Network considering Charging-Swapping-Discharging-Storage Integrated Station[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190920001.

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历史
  • 收稿日期:2019-09-20
  • 最后修改日期:2020-05-07
  • 录用日期:2020-03-10
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