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信息物理融合的智慧能源系统多级对等协同优化

司方远 汪晋宽 韩英华 赵强

司方远, 汪晋宽, 韩英华, 赵强. 信息物理融合的智慧能源系统多级对等协同优化. 自动化学报, 2019, 45(1): 84-97. doi: 10.16383/j.aas.2018.c180368
引用本文: 司方远, 汪晋宽, 韩英华, 赵强. 信息物理融合的智慧能源系统多级对等协同优化. 自动化学报, 2019, 45(1): 84-97. doi: 10.16383/j.aas.2018.c180368
SI Fang-Yuan, WANG Jin-Kuan, HAN Ying-Hua, ZHAO Qiang. Multilevel Peer-to-Peer Co-optimization for Cyber-physical Intelligent Energy Systems. ACTA AUTOMATICA SINICA, 2019, 45(1): 84-97. doi: 10.16383/j.aas.2018.c180368
Citation: SI Fang-Yuan, WANG Jin-Kuan, HAN Ying-Hua, ZHAO Qiang. Multilevel Peer-to-Peer Co-optimization for Cyber-physical Intelligent Energy Systems. ACTA AUTOMATICA SINICA, 2019, 45(1): 84-97. doi: 10.16383/j.aas.2018.c180368

信息物理融合的智慧能源系统多级对等协同优化

doi: 10.16383/j.aas.2018.c180368
基金项目: 

河北省自然科学基金 F2017501107

东北大学秦皇岛分校校内基金 XNB201803

国家重点研究发展计划 2016YFB0901900

东北大学秦皇岛分校校内基金 XNK201603

东北大学轧制技术及连轧自动化国家重点实验室开放课题 2017RALKFKT003

详细信息
    作者简介:

    司方远 东北大学信息科学与工程学院博士研究生.主要研究方向为能源系统优化运行与控制.E-mail:fangyuan@stumail.neu.edu.cn

    韩英华 东北大学秦皇岛分校计算机与通信工程学院教授.主要研究方向为智能电网的优化运行与控制.E-mail:yhhan@126.com

    赵强 东北大学秦皇岛分校控制工程学院讲师.主要研究方向为智能电网的优化运行与控制.E-mail:learner_2003@163.com

    通讯作者:

    汪晋宽 东北大学信息科学与工程学院教授.主要研究方向为智能控制与自适应信号处理.本文通信作者.E-mail:wjk@mail.neuq.edu.cn

Multilevel Peer-to-Peer Co-optimization for Cyber-physical Intelligent Energy Systems

Funds: 

Natural Science Foundation of Hebei Province F2017501107

Foundation of Northeastern University at Qinhuangdao XNB201803

National Key Research and Development Program of China 2016YFB0901900

Foundation of Northeastern University at Qinhuangdao XNK201603

Open Research Fund from the State Key Laboratory of Rolling and Automation, Northeastern University 2017RALKFKT003

More Information
    Author Bio:

    Ph.D.candidate at the College of Information Science and Engineering,Northeastern University.His research interest covers optimal operation and control of energy systems

    Professor at the School of Computer and Communication Engineering,Northeastern University at Qinhuangdao.Her research interest covers optimal operation and control of the smart grid

    Lecturer at the School of Control Engineering,Northeastern University at Qinhuangdao.His research interest covers optimal operation and control of the smart grid.

    Corresponding author: WANG Jin-Kuan Professor at the College of Information Science and Engineering,Northeastern University.His research interest covers adaptive signal processing and intelligent control.Corresponding author of this paper
  • 摘要: 针对能源电力系统的优化管理与控制问题,提出了一种信息物理融合的智慧能源系统(Intelligent energy systems,IES)多级对等协同优化方法.在信息物理融合能源系统(Cyber-physical energy systems,CPES)的基础上,构建了智慧能源系统的局域和广域两级协同优化架构.综合考虑产消者能源实体对等交互过程中的社会福利、供求平衡和需求意愿等因素,基于Stone-Geary函数和双向拍卖机制构建了智慧能源系统能量优化模型,给出了通过收敛判定域引导的全局随机寻优与区域定向寻优策略,有效地提高了算法的局部搜索能力.此外,通过双向拍卖机制的理性定价以及智能合约的辅助服务,有效地实现了用户友好的对等交易模式.仿真实例表明,在社会福利最大化的前提下可获得产消者电力资源最优分配结果,进一步验证了本文方法的有效性和可行性.
    1)  本文责任编委 王占山
  • 图  1  IES系统多级对等协同优化架构

    Fig.  1  The architecture of multilevel peer-to-peer co-optimization in IES

    图  2  IES系统电力调度体系

    Fig.  2  The power dispatching architecture of IES

    图  3  IES系统信息交互体系

    Fig.  3  The information interaction architecture of IES

    图  4  光伏、风机出力及基本负荷水平曲线

    Fig.  4  Renewable energy output and basic load curves

    图  5  算法性能的对比分析

    Fig.  5  Performance comparison and analysis of different algorithms

    图  6  联盟1产消者3实时电力供求平衡

    Fig.  6  Real-time supply and demand balance of 3rd prosumer in the first union

    图  7  联盟2产消者10实时电力供求平衡

    Fig.  7  Real-time supply and demand balance of 10th prosumer in the second union

    图  8  联盟3产消者6实时电力供求平衡

    Fig.  8  Real-time supply and demand balance of 6th prosumer in the third union

    图  9  联盟4产消者14实时电力供求平衡

    Fig.  9  Real-time supply and demand balance of 14th prosumer in the fourth union

    表  1  优化模型相关参数

    Table  1  The values of related parameters

    参数 取值
    $\eta$ 0.9
    $l_{1}$ 0.01
    $l_{2}$ 0.015
    $\rho$ 0.8
    $e_{1}$ 0.03
    $e_{2}$ 0.045
    下载: 导出CSV

    表  2  不同控制参数下的迭代次数和计算时间

    Table  2  The number of iterations and calculation time with different control parameters

    $\varepsilon$ 迭代次数(次) 总计算时间(s)
    0.8 20 483.46
    0.6 15 369.90
    0.4 11 281.34
    0.2 8 162.64
    下载: 导出CSV

    表  3  联盟1产消者3某时段多级对等电力交易结果

    Table  3  Multilevel peer-to-peer power trading results of the third prosumer node in the first union at a certain time

    时段 偏差电量(kWh) 买方报价(元/kWh) 买方密封交易信息摘要 卖方 购买电量(kWh) 卖方收益(元) 买方支付(元)
    3:15 0.457 0.348 eb45cc1d1c684ae290d373e18b260d95 联盟1产消者2 0.097 0.034 0.158
    - - - a378420878294a04965be0a999054616 联盟1产消者11 0.082 0.029 -
    - - - d9f7bf9a2b054722913725c4335a802f 联盟2产消者5 0.144 0.050 -
    - - - e00a77da2c944828b304543a749562d3 联盟3产消者3 0.130 0.045 -
    3:20 0.441 0.327 77298613587a49b5ae3d79a66b20b3f7 联盟1产消者4 0.002 0.001 0.144
    - - - 0928c7e54bb04ab9a9405046982b1ece 联盟2产消者8 0.128 0.042 -
    - - - 836cdb97cb5c4eb5a10cde523126ce51 联盟3产消者13 0.201 0.065 -
    - - - 1b9ce86e11a0493a928491ae96ff1531 联盟4产消者7 0.110 0.036 -
    3:25 0.385 0.296 700d192ebcc94008bf2834f13ebfe180 联盟1产消者6 0.084 0.025 0.114
    - - - 1e25a82f6df84e13a0585f717800f703 联盟1产消者15 0.124 0.037 -
    - - - 5ceb8c3095014a7b90f43b8e977c8fd0 联盟3产消者9 0.092 0.027 -
    - - - 23d398b02ba14c84a585faf63aa05f39 联盟4产消者1 0.085 0.025 -
    3:30 0.426 0.324 8bd98c74da514150914b09951289d1dd 联盟1产消者5 0.039 0.013 0.138
    - - - 2c39321d56564099af552d0f605f7ece 联盟2产消者10 0.123 0.040 -
    - - - 84e0e44dd96e4957ae25c95c1668e7d2 联盟3产消者6 0.046 0.015 -
    - - - 75d10e745eb44602a352f65b3b5e084a 联盟4产消者6 0.218 0.070 -
    3:35 0.377 0.291 e7318fc4dda44955ac1083961c703939 联盟1产消者12 0.090 0.026 0.110
    - - - d2a7c521239b4afa9f078a7402c4b246 联盟1产消者7 0.059 0.017 -
    - - - 2a2cbf7036854a7bafcb34fbd868bea1 联盟1产消者4 0.081 0.024 -
    - - - b84c13d1b952407a9c1589d35d2d5ee4 联盟4产消者1 0.147 0.043 -
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-05-30
  • 录用日期:  2018-08-27
  • 刊出日期:  2019-01-20

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