考虑小水电时空耦合特性的虚拟电厂低碳运行策略A Low-carbon Operation Strategy for Virtual Power Plant Considering Spatial-temporal Coupling Characteristics of Small Hydropower Plants
夏翔,吴晓刚,陶毓锋,杜倩昀,叶杰阳,陈雨鸽,杨莉
XIA Xiang,WU Xiaogang,TAO Yufeng,DU Qianyun,YE Jieyang,CHEN Yuge,YANG Li
摘要(Abstract):
为充分调动虚拟电厂各小水电资源协同运行,提高运行可控性,减少碳排放,提出一种考虑小水电时空耦合特性的虚拟电厂低碳运行策略。首先,基于节点参数建模的电网络理论,提出表征多个水电站间时空耦合特性的矩阵集合,便于信息的高效存储和便捷调用。其次,以考虑运行方式调节因子的虚拟电厂日前等效碳排放量为目标,构建考虑时空耦合特性的虚拟电厂小水电低碳运行模型,通过聚合小水电的协同调度,实现各水电站库容调节能力的共享。最后,采用浙江省某县域小水电作为算例,验证所提方法的有效性和实用性。
To fully mobilize small hydropower resources in the virtual power plants to operate collaboratively,improve operational controllability,and reduce carbon emissions,a low-carbon operation strategy of virtual power plants(VPPs)considering the spatiotemporal coupling characteristics of small hydropower is proposed. Firstly,based on the network theory of node parameter modeling,a matrix collection characterizing the spatiotemporal coupling characteristics among multiple hydropower plants is proposed to facilitate efficient storage and convenient recall of information. Secondly,a low-carbon operation model of VPPs considering the spatiotemporal coupling characteristics is constructed with the objective of their day-ahead equivalent carbon emissions that take account of the regulation factor of the operation mode. The sharing of each hydropower plant's reservoir capacity regulation is realized through aggregating coordinated scheduling of small hydropower. Finally,a small hydropower plant in a county of Zhejiang is used as an example to verify the effectiveness and practicality of the proposed method.
关键词(KeyWords):
虚拟电厂;运行方式调节因子;共享库容;时空耦合特性矩阵;低碳运行
virtual power plant(VPP);operation mode regulation factor;shared reservoir capacity;matrix of spatiotemporal coupling characteristics;low-carbon operation
基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211LS2000JS)
作者(Author):
夏翔,吴晓刚,陶毓锋,杜倩昀,叶杰阳,陈雨鸽,杨莉
XIA Xiang,WU Xiaogang,TAO Yufeng,DU Qianyun,YE Jieyang,CHEN Yuge,YANG Li
DOI: 10.19585/j.zjdl.202206004
参考文献(References):
- [1]杨塞特,喻洁,陈谦.考虑低碳竞价的分布式源荷交易策略[J].浙江电力,2019,38(9):8-15.
- [2]罗静,孙伟卿.计及需求响应的促进风能消纳电能交易模式研究[J].浙江电力,2020,39(12):50-57.
- [3]鞠文韬,崔承刚,杨锦成,等.考虑柔性负荷响应的综合能源系统多尺度优化调度研究[J].浙江电力,2020,39(12):12-19.
- [4]陈张宇,刘东,刘浩文,等.基于精细化需求响应的虚拟电厂优化调度[J].电网技术,2021,45(7):2542-2550.
- [5]LE L,AI X,FANG J,et al.Coordinated demand response of power-to-gas and Flex Gas technologies in integrated power and gas system to accommodate wind energy[J].IET Renewable Power Generation,2020,14(17):3300-3308.
- [6]牛壮壮,刘三明,刘扬.基于能源路由器的多区域虚拟电厂优化调度[J].电测与仪表,2020,57(24):84-92.
- [7]ALAHYARI A,EHSAN M,MOUSAVIZADEH M S.A hybrid storage-wind virtual power plant(VPP)participation in the electricity markets:A self-scheduling optimization considering price,renewable generation,and electric vehicles uncertainties[J].Journal of Energy Storage,2019,25:100812.
- [8]ZHOU B,LIU X,CAO Y,et al.Optimal scheduling of virtual power plant with battery degradation cost[J].IETGeneration Transmission&Distribution,2016,10(3):712-725.
- [9]夏依莎,刘俊勇,刘继春,等.基于电量共享的梯级水光蓄联合发电系统优化调度策略[J].电力自动化设备,2021,41(9):118-125.
- [10]JU L,LI P,TAN Q,et al.A CVa R-robust risk aversion scheduling model for virtual power plants connected with wind-photovoltaic-hydropower-energy storage systems,conventional gas turbines and incentive-based demand responses[J].Energies,2018,11(11):2903.
- [11]夏永洪,吴虹剑,辛建波,等.考虑风/光/水/储多源互补特性的微网经济运行评价方法[J].电力自动化设备,2017,37(7):63-69.
- [12]魏勤,陈仕军,谭政宇,等.基于SA-LSTM的水电站站间流量动态滞时关系[J].水电能源科学,2021,39(6):16-19.
- [13]许欣慧,舒征宇,陈锴,等.减少弃水的风-光-梯级水电站双层优化模型[J].可再生能源,2020,38(11):1500-1507.
- [14]刘杰,廖胜利,刘本希,等.峰谷时段模糊识别的一库多级式梯级水电站群短期调度方法[J].电网技术,2019,43(11):4080-4086.
- [15]王亮,陈刚,苗树敏,等.梯级水光联合发电系统短期优化调度模型[J].水力发电,2020,46(3):94-98.
- [16]孙惠娟,蒙锦辉,彭春华.风-光-水-碳捕集多区域虚拟电厂协调优化调度[J].电网技术,2019,43(11):4040-4051.
- [17]周任军,孙洪,唐夏菲,等.双碳量约束下风电-碳捕集虚拟电厂低碳经济调度[J].中国电机工程学报,2018,38(6):1675-1683,1904.
- [18]ZHANG X,HUANG W,CHEN S,et al.Grid-source coordinated dispatching based on heterogeneous energy hybrid power generation[J].Energy,2020,205:117908.
- [19]智丹,余熙,朱燕梅,等.新电改下发电偏差最小的水电中长期调度模型研究[J].四川电力技术,2019,42(1):37-40.