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含EVs的交直流混合微电网两阶段鲁棒调度优化

李奇 黄兰佳 邱宜彬 孙彩 傅王璇 陈维荣

李奇, 黄兰佳, 邱宜彬, 孙彩, 傅王璇, 陈维荣. 含EVs的交直流混合微电网两阶段鲁棒调度优化[J]. 西南交通大学学报, 2022, 57(1): 36-45. doi: 10.3969/j.issn.0258-2724.20200290
引用本文: 李奇, 黄兰佳, 邱宜彬, 孙彩, 傅王璇, 陈维荣. 含EVs的交直流混合微电网两阶段鲁棒调度优化[J]. 西南交通大学学报, 2022, 57(1): 36-45. doi: 10.3969/j.issn.0258-2724.20200290
LI Qi, HUANG Lanjia, QIU Yibin, SUN Cai, FU Wangxuan, CHEN Weirong. Two-Stage Robust Scheduling Optimization of AC/DC Hybrid Microgrid with Electric Vehicles[J]. Journal of Southwest Jiaotong University, 2022, 57(1): 36-45. doi: 10.3969/j.issn.0258-2724.20200290
Citation: LI Qi, HUANG Lanjia, QIU Yibin, SUN Cai, FU Wangxuan, CHEN Weirong. Two-Stage Robust Scheduling Optimization of AC/DC Hybrid Microgrid with Electric Vehicles[J]. Journal of Southwest Jiaotong University, 2022, 57(1): 36-45. doi: 10.3969/j.issn.0258-2724.20200290

含EVs的交直流混合微电网两阶段鲁棒调度优化

doi: 10.3969/j.issn.0258-2724.20200290
基金项目: 国家自然科学基金(51977181)
详细信息
    作者简介:

    李奇(1984—),男,教授,研究方向为综合能源系统运行优化、电力系统稳定与控制,E-mail:liqi0800@163.com

  • 中图分类号: V242.3

Two-Stage Robust Scheduling Optimization of AC/DC Hybrid Microgrid with Electric Vehicles

  • 摘要:

    随着电动汽车(electric vehicles,EVs)技术的快速发展,EVs数量激增,将其接入微电网中参与充放电调度成为了降低大规模EVs对电网负面影响的有效途径. 为此,将EVs接入交直流混合微电网的直流侧,考虑EVs的源荷双重特性,针对微电网系统中微源出力及负荷的不确定性,搭建了计及EVs充放电的交直流混合微电网两阶段鲁棒调度模型,以寻求系统在极端场景下的经济最优方案. 该模型采用盒式不确定集描述不确定性,通过不确定性预算灵活调节模型保守性;基于系统各单元运行约束条件,建立最小成本目标函数,并通过强对偶理论和BIG-M法将模型转化为混合整数线性规划模型;最后通过列约束生成算法对模型进行迭代求得最优解,结合算例进行了仿真. 结果发现:合理运用EVs的源荷特性能够有效降低微电网的日运行成本,其中,当50辆EVs并网运行时,无序充电模式下的运行成本较有序充放电模式下的成本高出1069.7元;在换流功率的限制下,随着EVs接入数量的增加,运行成本呈现先下降后上升的趋势;考虑实时调整成本,鲁棒调度模型的经济性更佳.

     

  • 图 1  含电动汽车的交直流混合微电网模型

    Figure 1.  AC-DC hybrid microgrid model with electric vehicles

    图 2  C&CG算法流程

    Figure 2.  Flowchart of column and constraint generation algorithm

    图 3  风机、光伏出力不确定集

    Figure 3.  Uncertainty set of wind turbine and photovoltaic output

    图 4  交流负荷及直流负荷不确定集

    Figure 4.  Uncertainty set of AC load and DC load

    图 5  电动汽车随机充电负荷(50辆)

    Figure 5.  Random charging load of 50 electric vehicles

    图 6  不同电动汽车辆数下的调度运行成本

    Figure 6.  Operation costs for different numbers of electric vehicles

    图 7  优化结果

    Figure 7.  Optimization results

    图 8  不同不确定预算下微电网综合运行成本

    Figure 8.  Integrated operation cost of microgrid under different uncertain budgets

    表  1  基本参数设置

    Table  1.   Basic parameter setting

    参数数值参数数值
    mPVmWT/
    (元/(kW•h)−1
    0.01$P_{{\rm{MT}}}^{\max }{\text{、}}P_{{\rm{MT}}}^{\min }$/kW30
    mMTmBC/
    (元/(kW•h)−1
    0.1$P_{{\rm{ES}}}^{{\rm{ch}},\max }$、$P_{{\rm{ES}}}^{{\rm{dis}},\max }$/kW500
    aMT/(元/(kW•h)−10.79$P_{{\rm{BC}}}^{{\rm{ad,max}}}$、$P_{{\rm{BC}}}^{{\rm{da,max}}}$/kW500
    mES/(元/(kW•h)−10.35$P_{{\rm{grid}}}^{{\rm{buy,max}}}$、$P_{{\rm{grid}}}^{{\rm{sell,max}}}$/kW500
    mEV/(元/(kW•h)−10.8125$P_{{\rm{EV}}i}^{{\rm{ch,max}}}$、$P_{{\rm{EV}}i}^{{\rm{dis,max}}}$/kW3.6
    $E_{{\rm{ES}}}^{\max }{\text{、}}E_{{\rm{ES}}}^{\min }$/(kW•h)2400、500$\eta _{{\rm{EV}}}^{{\rm{ch}}}{\text{、}}\eta _{{\rm{EV}}}^{{\rm{dis}}}$0.9
    $E_{{\rm{EV}}i}^{{\rm{max}}}{\text{、}}E_{{\rm{EV}}i}^{{\rm{min}}}$/(kW•h)30、6$\eta _{{\rm{BC}}}^{{\rm{ad}}}{\text{、}}\eta _{{\rm{BC}}}^{{\rm{da}}}$0.95
    $E_{{\rm{ES}},0}$/(kW•h)800$R_{{\rm{BC}}}^{{\rm{up}}}$、$R_{{\rm{BC}}}^{{\rm{down}}}$/kW1000
    $E_{{\rm{EV}}i,0}$/(kW•h)9.6$\eta _{{\rm{ES}}}^{{\rm{ch}}}{\text{、}}\eta _{{\rm{ES}}}^{{\rm{dis}}}$0.95
    ΓWTΓPV6ΓLAΓLD12
    下载: 导出CSV

    表  2  配电网分时电价

    Table  2.   Time-of-use prices for distribution network

    时段类型时段电价/元
    峰时09:00—12:001.3
    谷时23:00—24:00 及 00:00—08:000.5
    平时其余时段0.9
    下载: 导出CSV

    表  3  电动汽车随机充电与有序充放电仿真结果对比

    Table  3.   Simulation results of randomly charging and orderly charging and discharging for electric vehicles

    项目电动汽车
    补贴/元
    日运行
    成本/元
    净购电
    量/kW
    随机充电9421.92128.3
    有序充放电1099.98352.21735.2
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-05-13
  • 修回日期:  2020-11-02
  • 网络出版日期:  2020-12-16
  • 刊出日期:  2020-12-16

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