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1.华北电力大学电气与电子工程学院,河北省保定市 071003
2.国网河北省电力有限公司电力科学研究院,河北省石家庄市 050021
Received:06 January 2020,
Revised:2020-06-20,
Published Online:22 July 2020,
Published:10 October 2020
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栗然,韩怡,丁星等.基于表达谱的时间粒度自适应调度模式[J].电力系统自动化,2020,44(19):83-91.
LI Ran,HAN Yi,DING Xing,et al.Time-granularity Adaptive Dispatch Mode Based on Expression Spectrum[J].Automation of Electric Power Systems,2020,44(19):83-91.
栗然,韩怡,丁星等.基于表达谱的时间粒度自适应调度模式[J].电力系统自动化,2020,44(19):83-91. DOI: 10.7500/AEPS20200106007.
LI Ran,HAN Yi,DING Xing,et al.Time-granularity Adaptive Dispatch Mode Based on Expression Spectrum[J].Automation of Electric Power Systems,2020,44(19):83-91. DOI: 10.7500/AEPS20200106007.
随着可再生能源渗透率不断提高,常规火电机组小时级日前调度可能因可再生能源的波动而不再适用。为此引入粒计算理论,定义并分析了风电、负荷时间序列的信息粒度表达谱,同时提出了一种基于表达谱的时间粒度自适应调度模式。该模式提供了调度时段内包含多种时间粒度的火电机组启停和出力安排,以更好地适应净负荷变化。首先,建立了电力系统信息粒子,并在分析表达谱中粒子变化规律的基础上,采用Ward法实现功率-时间粒子的横纵方向双层粒化,形成典型电力场景和自适应时间粒度,以此设置火电机组自适应运行模式。其次,利用双重粒子群方法对5,15,30,60 min时间粒度下的调度模式进行机组组合和经济调度模型的双层求解。最后,以改进IEEE 39节点互联区域测试系统为例
验证了所提调度模式的合理性和有效性。
With the continuously increasing penetration rate of renewable energy
the hourly day-ahead dispatch of conventional thermal power units may no longer be suitable due to the fluctuation of renewable energy sources. Therefore
the granular computing theory is introduced to define and analyze the expression spectrum of information granularities of wind power and load time series. Meanwhile
a time-granularity adaptive dispatch mode is proposed based on the expression spectrum
which provides start up-shut down and output power arrangement for thermal power units with multi-time granularities during the dispatch period
so as to better adapt to the net load changes. Firstly
the information granularities of power system are generated. Based on the analysis of granularity change rules in expression spectrum
the Ward method is used to achieve the horizontal and vertical two-layer granulation of power-time particles and form typical power scenes and adaptive time granularity. Thus an adaptive operation mode for thermal power units is set up. Secondly
the dual particle swarm method is applied to perform the two-layer solving of unit commitment and economic dispatch models at the time granularity of 5
15
30
and 60 minutes. Finally
taking the modified IEEE 39-bus regional interconnection test system as example
the rationality and effectiveness of the proposed dispatch mode are verified.
朱凌志 , 陈宁 , 韩华玲 . 风电消纳关键问题及应对措施分析 [J]. 电力系统自动化 , 2011 , 35 ( 22 ): 29 - 34 .
ZHU Lingzhi , CHEN Ning , HAN Hualing . Key problems and solutions of wind power accommodation [J]. Automation of Electric Power Systems , 2011 , 35 ( 22 ): 29 - 34 .
高宗和 , 滕贤亮 , 张小白 . 适应大规模风电接入的互联电网有功调度与控制方案 [J]. 电力系统自动化 , 2010 , 34 ( 17 ): 37 - 41 .
GAO Zonghe , TENG Xianliang , ZHANG Xiaobai . Solution of active power dispatch and control scheme for interconnected power grids with large-scale wind power integration [J]. Automation of Electric Power Systems , 2010 , 34 ( 17 ): 37 - 41 .
赵冬梅 , 宋原 , 王云龙 , 等 . 考虑柔性负荷响应不确定性的多时间尺度协调调度模型 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 21 - 30 .
ZHAO Dongmei , SONG Yuan , WANG Yunlong , et al . Coordinated scheduling model with multiple time scales considering response uncertainty of flexible load [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 21 - 30 .
唐程辉 , 张凡 , 张宁 , 等 . 考虑可再生能源随机性和需求响应的电力系统日前经济调度 [J]. 电力系统自动化 , 2019 , 43 ( 15 ): 18 - 25 .
TANG Chenghui , ZHANG Fan , ZHANG Ning , et al . Day-ahead economic dispatch of power system considering renewable power uncertainty and demand response [J]. Automation of Electric Power Systems , 2019 , 43 ( 15 ): 18 - 25 .
许周 , 孙永辉 , 谢东亮 , 等 . 计及电/热柔性负荷的区域综合能源系统储能优化配置 [J]. 电力系统自动化 , 2020 , 44 ( 2 ): 53 - 59 .
XU Zhou , SUN Yonghui , XIE Dongliang , et al . Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load [J]. Automation of Electric Power Systems , 2020 , 44 ( 2 ): 53 - 59 .
施云辉 , 王橹裕 , 陈玮 , 等 . 基于风电预测误差聚类的分布鲁棒含储能机组组合 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 3 - 12 .
SHI Yunhui , WANG Luyu , CHEN Wei , et al . Distributed robust unit commitment with energy storage based on forecasting error clustering of wind power [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 3 - 12 .
王淑云 , 娄素华 , 吴耀武 , 等 . 计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度 [J]. 电力系统自动化 , 2020 , 44 ( 1 ): 118 - 125 .
WANG Shuyun , LOU Suhua , WU Yaowu , et al . Robust optimal dispatch of large-scale wind power integration considering deep peak regulation cost of thermal power units [J]. Automation of Electric Power Systems , 2020 , 44 ( 1 ): 118 - 125 .
邓婷婷 , 娄素华 , 田旭 , 等 . 计及需求响应与火电深度调峰的含风电系统优化调度 [J]. 电力系统自动化 , 2019 , 43 ( 15 ): 34 - 41 .
DENG Tingting , LOU Suhua , TIAN Xu , et al . Optimal dispatch of power system integrated with wind power considering demand response and deep peak regulation of thermal power units [J]. Automation of Electric Power Systems , 2019 , 43 ( 15 ): 34 - 41 .
徐浩 , 李华强 . 火电机组灵活性改造规划及运行综合随机优化模型 [J/OL]. 电网技术 [ 2020-04-10 ]. https://kns.cnki.net/kcms/detail/11.2410.TM.20191231.1622.004.html https://kns.cnki.net/kcms/detail/11.2410.TM.20191231.1622.004.html . DOI: 10.13335/j.1000-3673.pst.2019.1585 http://dx.doi.org/10.13335/j.1000-3673.pst.2019.1585 .
XU Hao , LI Huaqiang . Planning and operation stochastic optimization model of power systems considering the flexibility reformation [J/OL]. Power System Technology [ 2020-04-10 ]. https://kns.cnki.net/kcms/detail/11.2410.TM.20191231.1622.004.html https://kns.cnki.net/kcms/detail/11.2410.TM.20191231.1622.004.html . DOI: 10.13335/j.1000-3673.pst.2019.1585 http://dx.doi.org/10.13335/j.1000-3673.pst.2019.1585 .
王蓓蓓 , 丛小涵 , 高正平 , 等 . 高比例新能源接入下电网灵活性爬坡能力市场化获取机制现状分析及思考 [J]. 电网技术 , 2019 , 43 ( 8 ): 2691 - 2701 .
WANG Beibei , CONG Xiaohan , GAO Zhengping , et al . Status analysis and thoughts of market-oriented acquisition mechanism on flexible ramp capability for power grid with high proportion of renewable energy [J]. Power System Technology , 2019 , 43 ( 8 ): 2691 - 2701 .
张亚超 , 黄张浩 , 郑峰 , 等 . 基于风电出力模糊集的电-气耦合系统分布鲁棒优化调度 [J]. 电力系统自动化 , 2020 , 44 ( 4 ): 44 - 53 .
ZHANG Yachao , HUANG Zhanghao , ZHENG Feng , et al . Distributionally robust optimal dispatch for power-gas coupled system [J]. Automation of Electric Power Systems , 2020 , 44 ( 4 ): 44 - 53 .
RONG Shuang , CHEN Xiaoguang , GUAN Wanlin , et al . Coordinated dispatching strategy of multiple energy sources for wind power consumption [J]. Journal of Modern Power Systems and Clean Energy , 2019 , 7 ( 6 ): 1461 - 1471 .
任建文 , 许英强 . 考虑风电不确定性的互联电力系统分散协调调度模型 [J]. 电力系统自动化 , 2018 , 42 ( 16 ): 41 - 47 .
REN Jianwen , XU Yingqiang . Decentralized coordinated scheduling model of interconnected power systems considering wind power uncertainty [J]. Automation of Electric Power Systems , 2018 , 42 ( 16 ): 41 - 47 .
吕凯 , 唐昊 , 王珂 , 等 . 计及源荷双侧不确定性的跨区互联电网源网荷协同调度 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 38 - 45 .
LYU Kai , TANG Hao , WANG Ke , et al . Coordinated dispatching of source-grid-load for inter-regional power grid considering uncertainties of both source and load sides [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 38 - 45 .
许丹 , 梁访 , 黄国栋 , 等 . 考虑多级调度的跨省区大电网安全约束经济调度模型 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 94 - 100 .
XU Dan , LIANG Fang , HUANG Guodong , et al . Security constrained economic dispatch model of inter-provincial power grid considering multi-level dispatch [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 94 - 100 .
张玉敏 , 韩学山 , 杨明 , 等 . 基于狄利克雷模型的分布鲁棒机组组合 [J]. 中国电机工程学报 , 2019 , 39 ( 17 ): 5074 - 5084 .
ZHANG Yumin , HAN Xueshan , YANG Ming , et al . Distributionally robust unit commitment based on imprecise Dirichlet model [J]. Proceedings of the CSEE , 2019 , 39 ( 17 ): 5074 - 5084 .
ZHANG Gang , LI Zhixuan , ZHANG Kaoshe , et al . Multi-objective interval prediction of wind power based on conditional copula function [J]. Journal of Modern Power Systems and Clean Energy , 2019 , 7 ( 4 ): 802 - 812 .
周玮 , 钟佳成 , 孙辉 , 等 . 基于隐马尔可夫模型的日内风电功率预测误差区间滚动估计 [J]. 电力系统自动化 , 2018 , 42 ( 21 ): 90 - 95 .
ZHOU Wei , ZHONG Jiacheng , SUN Hui , et al . An interval rolling estimation method for daily wind power forecast errors based on hidden Markov model [J]. Automation of Electric Power Systems , 2018 , 42 ( 21 ): 90 - 95 .
TENG Yun , HUI Qian , LI Yan , et al . Availability estimation of wind power forecasting and optimization of day-ahead unit commitment [J]. Journal of Modern Power Systems and Clean Energy , 2019 , 7 ( 6 ): 1675 - 1683 .
袁泉 , 吴云亮 , 李豹 , 等 . 计及源荷不确定性的多时间尺度滚动调度计划模型与方法 [J]. 电力系统保护与控制 , 2019 , 47 ( 16 ): 8 - 16 .
YUAN Quan , WU Yunliang , LI Bao , et al . Multi-timescale coordinated dispatch model and approach considering generation and load uncertainty [J]. Power System Protection and Control , 2019 , 47 ( 16 ): 8 - 16 .
晋宏杨 , 孙宏斌 , 牛涛 , 等 . 考虑风电与高载能负荷调度不确定性的鲁棒机组组合 [J]. 电力系统自动化 , 2019 , 43 ( 22 ): 13 - 20 .
JIN Hongyang , SUN Hongbin , NIU Tao , et al . Robust unit commitment considering uncertainties of wind and energy intensive load dispatching [J]. Automation of Electric Power Systems , 2019 , 43 ( 22 ): 13 - 20 .
路朋 , 叶林 , 汤涌 , 等 . 基于模型预测控制的风电集群多时间尺度有功功率优化调度策略研究 [J]. 中国电机工程学报 , 2019 , 39 ( 22 ): 6572 - 6582 .
LU Peng , YE Lin , TANG Yong , et al . Multi-time scale active power optimal dispatch in wind power cluster based on model predictive control [J]. Proceedings of the CSEE , 2019 , 39 ( 22 ): 6572 - 6582 .
张亚超 , 刘开培 , 廖小兵 , 等 . 含大规模风电的电力系统多时间尺度源荷协调调度模型研究 [J]. 高电压技术 , 2019 , 45 ( 2 ): 600 - 608 .
ZHANG Yachao , LIU Kaipei , LIAO Xiaobing , et al . Multi-time scale source-load coordination dispatch model for power system with large-scale wind power [J]. High Voltage Engineering , 2019 , 45 ( 2 ): 600 - 608 .
BAKIRTZIS E A , BISKAS P N , LABRIDIS D P , et al . Multiple time resolution unit commitment for short-term operations scheduling under high renewable penetration [J]. IEEE Transactions on Power Systems , 2014 , 29 ( 1 ): 149 - 159 .
DEANE J P , DRAYTON G , Ó GALLACHÓIR B P . The impact of sub-hourly modelling in power systems with significant levels of renewable generation [J]. Applied Energy , 2014 , 113 : 152 - 158 .
EMMANOUIL A B , PANDELIS N B . Multiple time resolution stochastic scheduling for systems with high renewable penetration [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 2 ): 1030 - 1040 .
VOM STEIN D , VAN BRACHT N , MAAZ A , et al . Development of adaptive time patterns for multi-dimensional power system simulations [C]// 14th International Conference on the European Energy Market (EEM) , June 6 - 9 , 2017 , Dresden, Germany: 1 - 5 .
何海 , 胡姝博 , 张建华 , 等 . 基于样本熵的新能源电力系统净负荷分时段调度 [J]. 电力系统自动化 , 2019 , 43 ( 24 ): 77 - 86 .
HE Hai , HU Shubo , ZHANG Jianhua , et al . Sample entropy based divided-period dispatch of net load in new energy power system [J]. Automation of Electric Power Systems , 2019 , 43 ( 24 ): 77 - 86 .
顾洁 , 杨熠娟 , 施伟国 . 基于粒计算的电力系统中长期负荷动态聚类预测模型 [J]. 电网技术 , 2009 , 33 ( 20 ): 120 - 124 .
GU Jie , YANG Yijuan , SHI Weiguo . Dynamic clustering model for medium-and long-term power load forecasting based on granular computing [J]. Power System Technology , 2009 , 33 ( 20 ): 120 - 124 .
ZHANG Min , CHENG Jiaxing . Pattern classification with granular computing [C]// 2005 IEEE International Conference on Systems , Man and Cybernetics, October 12 , 2005 , Waikoloa , USA: 336 - 340 .
YANG Mao , YANG Chunlin . Uncertainty analysis of wind power prediction based on granular computing [C]// 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) , October 16 - 20 , 2016 , Beijing, China: 1 - 5 .
梁吉业 , 钱宇华 , 李德玉 , 等 . 面向大数据的粒计算理论与方法研究进展 [J]. 大数据 , 2016 , 2 ( 4 ): 13 - 23 .
LIANG Jiye , QIAN Yuhua , LI Deyu , et al . Research development on granular computing theory and method for big data [J]. Big Data Research , 2016 , 2 ( 4 ): 13 - 23 .
PEDRYCZ W . Granular computing for data analytics: a manifesto of human-centric computing [J]. IEEE/CAA Journal of Automatica Sinica , 2018 , 5 ( 6 ): 1025 - 1034 .
周志华 . 机器学习 [M]. 北京 : 清华大学出版社 , 2016 .
ZHOU Zhihua . Machine learning [M]. Beijing : Tsinghua University Press , 2016 .
WANG Yang , XIA Qing , KANG Chongqing . Unit commitment with volatile node injections by using interval optimization [J]. IEEE Transactions on Power Systems , 2011 , 26 ( 3 ): 1705 - 1713 .
Bonneville Power Administration , BPA . Balancing authority load & total wind , hydro , thermal generation , and net interchange chart & data , rolling 7 days [EB/OL]. [ 2020-04-10 ]. http://transmission.bpa.gov/business/operations/wind http://transmission.bpa.gov/business/operations/wind .
覃华 , 韦化 . 大规模机组组合问题的量子近似动态规划 [J]. 中国电机工程学报 , 2015 , 35 ( 19 ): 4918 - 4929 .
QIN Hua , WEI Hua . A quantum-inspired approximate dynamic programming algorithm for large-scale unit commitment problems [J]. Proceedings of the CSEE , 2015 , 35 ( 19 ): 4918 - 4929 .
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