异构温控负荷群模型优化及联合调控策略
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TM73

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国家自然科学基金(51777068);国家电网公司科技项目(52110418001C)


Model optimization and joint control strategy for heterogeneous thermostatically controlled loads
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    摘要:

    针对需求侧负荷资源调控中存在的异构特性影响问题,提出一种基于泛化指标的异构温控负荷群联合调控策略。该策略首先通过考虑偏差修正及行为分析,在温控负荷等效热电模型基础上进一步提升其精细化程度及适用性;然后综合考虑可调控能量空间及可转移时间,建立泛化评价指标,实现对异构温控负荷态势的标准化评估分析,进而指导异构负荷群组合优化调控;最后通过实验仿真验证所述方法能够良好适用于异构温控负荷调控需求, 并保证异构负荷协同下的调控精度,同时亦提升温度分布合理性。

    Abstract:

    Considering the influence of heterogeneous characteristics on the demand side load resource regulation, a joint control strategy based on generalization index is proposed for heterogeneous thermostatically controlled loads (TCLs). The error correction and the behavior analysis is taken into account firstly, and the degree of refinement and applicability of the equivalent thermoelectric model for TCLs is further improved. Consequently, a generalization index is proposed with the consideration of the controllable energy space and the transferable time, which realizes the standard evaluation of the operating state of heterogeneous TCLs, and can be further utilized to guide the combinatorial optimization of heterogeneous load groups. Finally, the experimental simulation indicates that the proposed method can perfectly match the demand for the control of heterogeneous TCLs, and can maintain the control accuracy and improve the temperature distribution at the same time.

    参考文献
    [1] 杨青润,丁涛,文亚,等.计及碳排约束的跨国电力互联网新能源消纳分析[J].智慧电力,2019,47(10):1-6+30.YANG Qingrun,DING Tao,WEN Ya,et al.Analysis ofn renewable energy integration in transnational power interconnection considering carbon emissionconstraints[J].Smart Power,2019,47(10):1-6+30.
    [2] 陈志杰,李凤婷,黄蓉.计及需求响应的含风电电力系统旋转备用优化配置策略[J].电力系统保护与控制,2020,48(13):117-122.CHEN Zhijie,LI Fengting,HUANG Rong.Spinning reserve optimal configuration strategy of a wind power system with demand response[J].Power System Protection and Control,2020,48(13):117-122.
    [3] 张晶,张松涛,陈宋宋,等.智能电网需求响应互动业务信息建模[J].供用电,2019,36(3):68-75.ZHANG Jing,ZHANG Songtao,CHEN Songsong,et al.Information modelling of demand response interactivebusiness for smart grid[J].Distribution & Utilization,2019,36(3):68-75.
    [4] Cui Q,Wang XL,Wang XF,et al.Residential appliances direct load control in real-time using cooperative game[J].IEEE Transactions on Power Systems,2016,31(1):226-233.
    [5] 许鹏,孙毅,石墨,等.负荷态势感知:概念、架构及关键技术[J].中国电机工程学报,2018,38(10):2918-2926+3142.XU Peng,SUN Yi,SHI Mo,et al.Load situation awareness:concept,frameworkand key technologies[J].Proceedings of the CSEE,2018,38(10):2918-2926+3142.
    [6] 王丹,兰宇,贾宏杰,等.基于弹性温度可调裕度的中央空调集群需求响应双层优化[J].电力系统自动化,2018,42(22):118-127.WANG Dan,LAN Yu,JIA Hongjie,et al.Double-layer optimization strategy of cluster central air-conditioner demand response based on elastic temperature adjustable margin[J].Automation of Electric Power Systems,2018,42(22):118-127.
    [7] Zeng L K,Sun Y,Ye Q Z,et al.A centralized demand response control strategy for domestic electric water heater group based on appliance cloud platform[J].IEEE Transactions on Electrical and Electronic Engineering,2017,12(S2):16-22.
    [8] 卫文婷,王丹,贾宏杰,等.一种基于模型预测的城市园区分层分布式温控负荷需求响应控制策略[J].中国电机工程学报,2016,36(8):2049-2056.WEI Wenting,WANG Dan,JIA Hongjie,et al.A hierarchical and distributed control strategy of thermostatically controlled appliances for city park based on load model prediction[J].Proceedings of the CSEE,2016,36(8):2049-2056.
    [9] 余洋,谢仁杰,卢健斌,等.平抑新能源功率波动的集群温控负荷建模及控制[J].智慧电力,2020,48(3):69-75.YU Yang,XIE Renjie,LU Jianbin,et al.Modeling and control of aggregated thermostatically controlled loads for smoothing power fluctuation of renewable energy sources[J].Smart Power,2020,48(3):69-75.
    [10] 李丹.集中热水系统参与电网负荷调节的控制方法研究[J].电网与清洁能源,2020,36(8):50-54.LI Dan.Research on the control method of centralized hot water system participating in power grid load regulation[J].Power System and Clean Energy,2020,36(8):50-54.
    [11] 杨玉龙,王彤,赵磊洋,等.分布式电采暖负荷群建模及备用优化[J].电测与仪表,2020,57(2):81-87.YANG Yulong,WANG Tong,ZHAO Leiyang,et al.Distributed electric heating load group modeling and standby optimization[J].Electrical Measurement & Instrumentation,2020,57(1):81-87.
    [12] 刘萌,梁雯,张晔,等.温控负荷群Fokker-Planck方程聚合模型的数值拉普拉斯反变换求解方法[J].电力系统保护与控制,2017,45(23):17-23.LIU Meng,LIANG Wen,ZHANG Ye,et al.Numerical inverse Laplace transform solving method of thermostatically controlled load group’s Fokker-Planck equation aggregation model[J].Power System Protection and Control,2017,45(23):17-23.
    [13] Malhame R,Chong C Y.Electric load model synthesis by diffusion approximation of a high-order hybrid-state stochastic system[J].IEEE Transactions on Automatic Control,1985,30(9):854-860.
    [14] Liu M,Shi Y.Model predictive control of aggregated heterogeneous second-order thermostatically controlled loads for ancillary services[J].IEEE Transactions Power System,2016,31(3):1963-1971.
    [15] Mathieu J L,Koch S,Callaway D S.State estimation and control of electric loads to manage real-time energy imbalance[J].IEEE Transactions Power System,2013,28(1):430-440.
    [16] Iacovella S,Ruelens F,Vingerhoets P,et al.Cluster control of heterogeneous thermostatically controlled loads using tracer devices[J].IEEE Transactions Smart Grid,2015,8(2):528-536.
    [17] Hu J Q,Cao J D,Michael Z,et al.Load following of multiple heterogeneous TCL aggregators by centralized control[J].IEEE Transactions on Power Systems,2017,32(4):3157-3167.
    [18] 孙毅,许鹏,单葆国,等.售电侧改革背景下互联网+电能替代发展路线研究[J].电网技术,2016,40(12):3648-3654.SUN Yi,XU Peng,SHAN Baoguo,et al.Road map for “internet plus” energy substitution in electricity retail market reform in china[J].Power System Technology,2016,40(12):3648-3654.
    [19] BAO Yuqing,HU Minqiang,HONG Yingyi,et al.Accuracy analysis and improvement of the state-queuing model for the thermostatically controlled loads[J].IET Generation,Transmission & Distribution,2017,11(5):1303-1310.
    [20] Mei H,Eisner J.The neural hawkes process:a neurally self-modulating multivariate point process[C]//Neural Information Processing Systems(NIPS),Long Beach,USA,2017.
    [21] 许鹏,孙毅,杨万清,等.计及离散控制偏差的典型温控负荷态势感知及调控策略[J].中国电机工程学报,2018,38(21):6205-6213+6482.XU Peng,SUN Yi,YANG Wanqing,et al.Awareness and control strategy for TCLs considering discrete control deviation[J].Proceedings of CSEE,2018,38(21):6205-6213+6482.
    [22] Elghitani F,Zhuang W.Aggregating a large number of residential appliances for demand response applications[J].IEEE Transactions on Smart Grid,2018,9(5):5092-5100.
    [23] Pirkul H.A heuristic solution procedure for the multiconstraint zero-one knapsack problem[J].Naval Research Logistics,1987,34(2):161-172.
    [24] Chen C,Wang J H,Kishore S.A distributed direct load control approach for large-scale residential demand response[J].IEEE Transactions on Power Systems,2014,29(5):2219-2228.
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引用本文

许鹏,孙毅,谢祥颖,等.异构温控负荷群模型优化及联合调控策略[J].电力科学与技术学报,2021,36(5):120-128.
Xu Peng, Sun Yi, Xie Xiangying, et al. Model optimization and joint control strategy for heterogeneous thermostatically controlled loads[J]. Journal of Electric Power Science and Technology,2021,36(5):120-128.

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  • 在线发布日期: 2021-11-16
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