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泛在电力物联网下用户侧分布式电源P2P优化调度研究

肖勇 喻洁 张新森 钱斌 王岩 张彤彤

肖勇, 喻洁, 张新森, 钱斌, 王岩, 张彤彤. 泛在电力物联网下用户侧分布式电源P2P优化调度研究[J]. 应用数学和力学, 2020, 41(12): 1358-1368. doi: 10.21656/1000-0887.410126
引用本文: 肖勇, 喻洁, 张新森, 钱斌, 王岩, 张彤彤. 泛在电力物联网下用户侧分布式电源P2P优化调度研究[J]. 应用数学和力学, 2020, 41(12): 1358-1368. doi: 10.21656/1000-0887.410126
XIAO Yong, YU Jie, ZHANG Xinsen, QIAN Bin, WANG Yan, ZHANG Tongtong. Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things[J]. Applied Mathematics and Mechanics, 2020, 41(12): 1358-1368. doi: 10.21656/1000-0887.410126
Citation: XIAO Yong, YU Jie, ZHANG Xinsen, QIAN Bin, WANG Yan, ZHANG Tongtong. Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things[J]. Applied Mathematics and Mechanics, 2020, 41(12): 1358-1368. doi: 10.21656/1000-0887.410126

泛在电力物联网下用户侧分布式电源P2P优化调度研究

doi: 10.21656/1000-0887.410126
详细信息
    作者简介:

    肖勇(1978—),男,教授级高级工程师,博士(E-mail: xiaoyong@csg.cn);喻洁(1975—),女,副教授(通讯作者. E-mail: friendlyyu2000@aliyun.com).

  • 中图分类号: TP391

Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things

  • 摘要: 泛在电力物联网(UPIoT)基于能够充分利用先进的通信技术实现电力系统发、输、配、用各环节的广泛互联,其可为分布式电源(DG)的调度大量接入提供技术支撑.在泛在电力物联网的背景下,基于将P2P技术的思想用于建立分布式电源的去中心化调度架构,使分布式电源之间基于通信进行信息交互完成P2P优化调度.建立的分布式电源P2P优化调度模型采用分布式次梯度算法,在各分布式电源之间进行交互迭代寻优求解,并依据算法收敛性要求构造各节点之间的双随机特性联接矩阵.最后,通过算例验证了优化模型及其求解方法的可行性和有效性,并且讨论了泛在电力物联网中可能存在的信息中断、信息误码等情况对P2P优化调度的影响.
  • [1] 张忠会, 胡国宝, 李瑞欣. 考虑电动汽车接入的分布式电源出力优化[J]. 电力系统保护与控制, 2018,46(6): 120-127.(ZHANG Zhonghui, HU Guobao, LI Ruixin. Optimization of distributed generation output in electric vehicles integrating into distribution network[J]. Power System Protection and Control,2018,46(6): 120-127.(in Chinese))
    [2] 孙宏斌, 郭庆来, 潘昭光. 能源互联网: 理念、架构与前沿展望[J]. 电力系统自动化, 2015,39(19): 1-8.(SUN Hongbin, GUO Qinglai, PAN Zhaoguang. Energy internet: concept, architecture and frontier outlook[J]. Automation of Electric Power systems,2015,39(19): 1-8.(in Chinese))
    [3] 姚建国, 高志远, 杨胜春. 能源互联网的认识和展望[J]. 电力系统自动化, 2015,39(23): 9-14.(YAO Jianguo, GAO Zhiyuan, YANG Shengchun. Understanding and prospects of energy internet[J]. Automation of Electric Power Systems,2015,39(23): 9-14.(in Chinese))
    [4] SUN Q, HAN R, ZHANG H, et al. A multiagent-based consensus algorithm for distributed coordinated control of distributed generators in the energy internet[J]. IEEE Transactions on Smart Grid,2015,6(6). DOI: 10.1109/TSG.2015.2412779.
    [5] HUG G, KAR S, WU C. Consensus + innovations approach for distributed multiagent coordination in a microgrid[J]. IEEE Transactions on Smart Grid,2015,6(4): 1893-1903.
    [6] 吕朋蓬, 赵晋泉, 李端超, 等. 基于信息物理系统的孤岛微网实时调度的一致性协同算法[J]. 中国电机工程学报, 2016,36(6): 1471-1480.(L Pengpeng, ZHAO Jinquan, LI Duanchao, et al. A Consensus-based collaborative algorithm for real time dispatch of island microgrid in cyber physical system[J]. Proceedings of the CSEE,2016,36(6): 1471-1480.(in Chinese))
    [7] 宋少群, 黄文英, 陈峰, 等. 基于合作博弈的分布式能源优化运行策略研究[J]. 电器与能效管理技术, 2018,557(20): 21-27.(SONG Shaoqun, HUANG Wenying, CHEN Feng, et al. Design of distributed energy optimization operation strategy based on cooperative game[J]. Electrical & Energy Management Technology,2018,557(20): 21-27.(in Chinese))
    [8] 季珉杰, 张沛超, 姚垚, 等. 采用基于市场控制的微网分布式能量优化方法[J]. 电力系统自动化, 2017,41(15): 34-41.(JI Minjie, ZHANG Peichao, YAO Yao, et al. Distributed energy optimization method for microgrid using market-based control[J]. Automation of Electric Power Systems,2017,41(15): 34-41.(in Chinese))
    [9] YU J, NI M, JIAO Y, et al. Plug-in and plug-out dispatch optimization in microgrid clusters based on flexible communication[J]. Journal of Modern Power Systems and Clean Energy,2017,5(4): 663-670.
    [10] 杨志淳, 乐健, 刘开培, 等. 基于多智能体的含虚拟发电厂配电网的电压稳定性协调控制[J]. 电网技术, 2013,37(7): 1922-1928.(YANG Zhichun, LE Jian, LIU Kaipei, et al. Coordinative voltage stability control based on multi-agent theory for distribution network with VPP[J]. Power System Technology,2013,37(7): 1922-1928.(in Chinese))
    [11] 李克文, 高立克, 吴丽芳, 等. 配电网自动化通信方式分析与选择[J]. 广西电力, 2011,34(5): 44-47.(LI Kewen, GAO Like, WU Lifang, et al. Analysis and choice of distribution automation communication mode[J]. Guangxi Electric Power,2011,34(5): 44-47.(in Chinese))
    [12] 米阳, 刘红业, 宋根新, 等. 面向能源互联网的多能源局域网两层功率优化分配[J]. 电力自动化设备, 2018,38(7): 1-10.(MI Yang, LIU Hongye, SONG Genxin, et al. Two-layer power optimization allocation of multi-energy local networks oriented to energy internet[J]. Electric Power Automation Equipment,2018,38(7): 1-10.(in Chinese))
    [13] BINETTI G, DAVOUDI A, LEWIS F L, et al. Distributed consensus-based economic dispatch with transmission losses[J]. IEEE Transactions on Power Systems,2014,29(4): 1711-1720.
    [14] 黄海煜, 于文娟. 考虑风电出力概率分布的电力系统可靠性评估[J]. 电网技术, 2013,37(9): 2585-2591.(HUANG Haiyu, YU Wenjuan. Power grid reliability assessment considering probability distribution of wind farm power output[J]. Power System Technology,2013,37(9): 2585-2591.(in Chinese))
    [15] 王健, 谢桦, 孙健. 基于机会约束规划的主动配电网能量优化调度研究[J]. 电力系统保护与控制, 2014,42(13): 45-52.(WANG Jian, XIE Hua, SUN Jian. Research on energy optimization scheduling of active distribution network based on chance constrained programming[J]. Power System Protection and Control,2014,42(13): 45-52.(in Chinese))
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出版历程
  • 收稿日期:  2020-05-06
  • 刊出日期:  2020-12-01

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