计算机科学 ›› 2021, Vol. 48 ›› Issue (2): 23-32.doi: 10.11896/jsjkx.200900209
所属专题: 物联网技术 虚拟专题
王锡龙, 李鑫, 秦小麟
WANG Xi-long, LI Xin, QIN Xiao-lin
摘要: 随着新型发电、直流输电、电能存储等技术的发展,新能源发电、电动汽车等柔性负荷以及可充放电的储能装置不断并入电网中,使得传统配电网架构发生了巨大变化。由于新型源网荷储存在较大的不稳定性,给配电网调度带来了巨大挑战,尤其是难以控制调度的额外电损。借助泛在电力物联网的建设,可实现对源网荷储的实时信息采集与分析,为实时数据驱动的源网荷储协同调度提供了契机。配电网中的源网荷储协同具有天然的分布式特性,因此可以利用电力物联网的感知能力构建一个分布式状态实时感知系统,使得协同调度具有更高的调度精度。文中分析了泛在电力物联网背景下的配电网架构,对分布式环境下的源网荷储及其交互方式进行了建模,并据此提出了一种电力物联网下分布式状态感知的源网荷储协同调度机制,明确了源网荷储各端的响应策略,实现了削峰填谷、降低调度损耗的目标。基于部分电网真实数据,设计了模拟验证实验,其结果验证了源网荷储协同调度机制的有效性。
中图分类号:
[1] State Grid Corporation of China.White paper Internet of things in electricity[R].Beijing:State Grid Corporation of China,T.R.,2019. [2] CHEN M F,XIA M C,CHEN Q F,et al.Review on coordination control of generation-grid-load-storage[J].Electric Power Construction,2018,39(11):109-118. [3] YANG T,ZHAI F,ZHAO Y J,et al.Definition and researchprospect of ubiquitous power Internet of things[J].Automation of Electric Power Systems,2019,43(13):9-20,53. [4] LI Q H,ZHANG Y J,CHEN J Q,et al.Development forms and challenges of ubiquitous power Internet of things[J].Automation of Electric Power Systems,2020,44(1):13-22. [5] XIAO Z F,XIN P Z,LIU Z G,et al.An overview of planning technology for active distribution network under the situation of ubiquitous power Internet of things[J].Power System Protection and Control,2020,48(3):43-48. [6] LU W,DU H W,DING Q,et al.Optimal dispatching design and key technology of intelligent distribution network[J].Automation of Electric Power Systems,2017,41(3):121-127. [7] LI H C,LIU,YUAN H W,et al.Large-scale source-grid-load friendly interactive system introduction and real load shedding verification test technology[J].The Journal of Engineering,2019,2019(16):2649-2653. [8] ZENG M,YANG Y Q,XIANG H W.Optimal dispatch model based on coordination between “generation-grid-load-energy storage” and demand-side resource[J].Electric Power Automation Equipment,2016,36(2):102-111. [9] ZHONG M,JIN L,XIA J Y,et al.Coordinated control of coa-stal multi-source multi-load system with desalination load:a review[J].Global Energy Interconnection,2019,4(2):300-309. [10] DENG F,ZHANG T,ZHANG H.Research on multi-source fusion energy management and control system for regional energy internet[C]//International Conference on Manufacturing Construction and Energy Engineering.Hong Kong:DEStech Publications,2017:257-262. [11] LI H,LI W,MIAO B,et al.Research on the operation mode of intelligent-town energy internet based on source-load interaction[C]//IOP Conference Series:Earth and Environmental Science.2018:45-52. [12] YANG G,QIAN A,MUHAMMAD Y,et al.Source-load-sto-rage consistency collaborative optimization control of flexibleDCdistribution network considering multi-energy complementarity[J].International Journal of Electrical Power and Energy Systems,2019,107:273-281. [13] ZENG M,YANG Y Q,LIU D N,et al.Generation-Grid-Load-Storage coordinative optimal operation mode of energy internet and key technologies[J].Power System Technology,2016,40(1):114-124. [14] SHA Y,QIU X Y,NING X J,et al.Multi-Objective optimization of active distribution network bycoordinating energy storage system and flexible load[J].Power System Technology,2016,40(5):1394-1399. [15] YU T,LIU G Y,PU T J,et al.Multiple coordinated optimization control of active distribution network considering flexible load[J].Automation of Electric Power Systems,2015,39(9):95-100. [16] CHEN Z,LIU Y,CHEN X,et al.Charging and discharging dispatching strategy for electric vehicles considering characteristics of mobile energy storage[J].Automation of Electric Power Systems,2020,44(2):77-88. [17] SONG Q P,SHI Y,HAN Z L,et al.Research on typical configuration mode of distribution network under ubiquitous powerInternet of things[J].Distribution & Utilization,2020,37(1):15-20. [18] BAI Y Y,HUANG Y H,CHEN S Y,et al.Cloud-edge Intelligence:Status Quo and Future Prospective of Edge Computing Approaches and Applications in Power System Operation and Control[J].Acta Automatica Sinica,2020,46(3):397-410. |
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