含风光储岸电供电系统的分布鲁棒优化运行策略An operating strategy for wind-solar-storage hybrid shore power supply systems based on distributionally robust optimization
黄梦旗,李勇汇,杨军,廖菲,彭勇,林毅
HUANG Mengqi,LI Yonghui,YANG Jun,LIAO Fei,PENG Yong,LIN Yi
摘要(Abstract):
可再生能源机组和电动船舶出力的不确定性及冲击特性会给岸电供电系统的安全稳定运行带来挑战。因此,提出了一种含风光储岸电供电系统的分布鲁棒优化运行策略。首先,不考虑风光出力不确定性以及冲击负荷的影响,以总费用最低为目标,建立确定性的含风光储岸电供电系统的运行模型。其次,以上述模型为基础,构建基于分布鲁棒优化的两阶段含风光储的岸电供电系统模型,采用组合范式来描述风光出力的不确定性,以减少因预测误差、出力波动性导致的弃风弃光。最后,使用C&CG(列与约束生成)算法来求解模型。利用某岸电供电系统数据,验证了所提策略可有效提升风光资源的消纳能力,降低运行成本。
The output of renewable energy units and electric vessels, characterized by its uncertainty and impact, pose challenges to the safe and stable operation of shore power supply systems. To address this, an operating strategy for wind-solar-storage hybrid shore power supply systems based on distributionally robust optimization(DRO) is proposed. First, a deterministic operating model of the shore power supply systems is established with the objective of minimizing total costs, without considering the uncertainty of wind-solar power output and impact loads. Building on this model, a two-stage wind-solar-storage hybrid shore power supply system model based on DRO is developed.This model uses a combinatorial approach to describe the uncertainty of wind-solar power output, aiming to reduce the wind and solar power curtailment caused by prediction errors and output fluctuations. Finally, the column-andconstraint generation(C&CG) method is employed to solve the model. Using data from a specific shore power supply system, the proposed strategy is validated to effectively enhance the consumption capacity of wind-solar resources and reduce operational costs.
关键词(KeyWords):
风光储;不确定性;运行策略;分布鲁棒;岸电供电系统
wind-solar-storage;uncertainty;operating strategy;distributionally robust;shore power supply system
基金项目(Foundation): 国家电网有限公司总部科技项目(5108-202218280A-2-390-XG)
作者(Author):
黄梦旗,李勇汇,杨军,廖菲,彭勇,林毅
HUANG Mengqi,LI Yonghui,YANG Jun,LIAO Fei,PENG Yong,LIN Yi
DOI: 10.19585/j.zjdl.202409001
参考文献(References):
- [1]郭元战,魏云冰,李长庆,等.大容量岸电系统接入电网的影响及优化策略研究[J].电力系统保护与控制,2020,48(8):155-162.GUO Yuanzhan,WEI Yunbing,LI Changqing,et al.Research on the influence and optimization strategy of a large capacity shore power system connecting to power grid[J].Power System Protection and Control,2020,48(8):155-162.
- [2]王金旺.船舶岸电技术应用研究[D].北京:华北电力大学,2015.WANG Jinwang. Research on application of ship shore power technology[D]. Beijing:North China Electric Power University,2015.
- [3]肖振锋,辛培哲,凌明娟,等.我国能源互联网发展模式及规划方案探索[J].分布式能源,2018,3(5):1-10.XIAO Zhenfeng,XIN Peizhe,LING Mingjuan,et al.Development model and planning scheme exploration of energy Internet in China[J].Distributed Energy,2018,3(5):1-10.
- [4] KUMAR J,KUMPULAINEN L,KAUHANIEMI K.Technical design aspects of harbour area grid for shore to ship power:state of the art and future solutions[J].International Journal of Electrical Power&Energy Systems,2019,104:840-852.
- [5]缪新招,黎洪光,彭灵利,等.基于虚拟同步机技术的船舶岸电电源控制策略[J].港工技术,2019,56(6):62-66.MIAO Xinzhao,LI Hongguang,PENG Lingli,et al.Strategy of control of shore-power source for ships based on virtual synchronous generator technology[J].Port Engineering Technology,2019,56(6):62-66.
- [6]丁明,杨向真,苏建徽.基于虚拟同步发电机思想的微电网逆变电源控制策略[J].电力系统自动化,2009,33(8):89-93.DING Ming,YANG Xiangzhen,SU Jianhui.Control strategies of inverters based on virtual synchronous generator in a microgrid[J].Automation of Electric Power Systems,2009,33(8):89-93.
- [7]宋艳琼,陈灵超,高海波,等.岸电对接靠港船舶无缝供电控制方法的改进[J].船海工程,2020,49(3):101-105.SONG Yanqiong,CHEN Lingchao,GAO Haibo,et al.Improvement of the control method of seamless shore power supply for berthing ships in port[J].Ship&Ocean Engineering,2020,49(3):101-105.
- [8]侯珏.船舶与岸电并网控制策略研究[J].船舶工程,2017,39(1):86-90.HOU Jue.Research on grid connected control strategy of ship and shore power[J].Ship Engineering,2017,39(1):86-90.
- [9]王利猛,刘雪梦,李扬,等.阶梯式碳交易机制下考虑需求响应的综合能源系统低碳优化调度[J].电力建设,2024,45(2):102-114.WANG Limeng,LIU Xuemeng,LI Yang,et al. Lowcarbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism[J].Electric Power Construction,2024,45(2):102-114.
- [10]韩雪茹,杨德昌,Payman Dehghanian,等.考虑AA-CAES季节效率优化的建筑微网群多能协同优化策略[J].电力建设,2023,44(9):94-107.HAN Xueru,YANG Dechang,DEHGHANIAN P,et al.Multi-energy cooperative scheduling of building microgrid group considering AA-CAES seasonal efficiency optimization[J].Electric Power Construction,2023,44(9):94-107.
- [11]易宇琴,许加柱,张伟明,等.考虑两阶段鲁棒优化配置的多微网合作博弈[J].电力系统自动化,2023,47(22):149-156.YI Yuqin,XU Jiazhu,ZHANG Weiming,et al. Multimicrogrid cooperative game considering two-stage robust optimal configuration[J]. Automation of Electric Power Systems,2023,47(22):149-156.
- [12]朱振山,刘秉庚,郭磊.考虑动态氢价机制的综合能源多微网系统分布式优化调度[J].电网技术,2023,47(12):5036-5045.ZHU Zhenshan,LIU Binggeng,GUO Lei.Distributed optimal dispatch of integrated energy multi-microgrid system considering dynamic hydrogen price mechanism[J].Power System Technology,2023,47(12):5036-5045.
- [13]方晓涛,严正,王晗,等.考虑“路-车-源-荷”多重不确定性的交通网与配电网概率联合流分析[J].电力系统自动化,2022,46(12):76-87.FANG Xiaotao,YAN Zheng,WANG Han,et al.Analysis on probabilistic joint flow for transportation network and distribution network considering multiple uncertainties of road-vehicle-source-load[J].Automation of Electric Power Systems,2022,46(12):76-87.
- [14]张祥宇,舒一楠,付媛.基于虚拟储能的直流微电网源荷储多时间尺度能量优化与分区协调控制[J].电工技术学报,2022,37(23):6011-6024.ZHANG Xiangyu,SHU Yinan,FU Yuan. Multi-timescale energy optimization and zone coordinated control of DC microgrid source-load-storage based on virtual energy storage[J]. Transactions of China Electrotechnical Society,2022,37(23):6011-6024.
- [15]邱革非,何超,骆钊,等.考虑新能源消纳及需求响应不确定性的配电网主从博弈经济调度[J].电力自动化设备,2021,41(6):66-72.QIU Gefei,HE Chao,LUO Zhao,et al.Economic dispatch of Stackelberg game in distribution network considering new energy consumption and uncertainty of demand response[J].Electric Power Automation Equipment,2021,41(6):66-72.
- [16]李东东,王啸林,沈运帷,等.考虑多重不确定性的含需求响应及电碳交易的虚拟电厂优化调度策略[J].电力自动化设备,2023,43(5):210-217.LI Dongdong,WANG Xiaolin,SHEN Yunwei,et al.Optimal scheduling strategy of virtual power plant with demand response and electricity-carbon trading considering multiple uncertainties[J]. Electric Power Automation Equipment,2023,43(5):210-217.
- [17]高海淑,张玉敏,吉兴全,等.基于场景聚类的主动配电网分布鲁棒综合优化[J].电力系统自动化,2020,44(21):32-41.GAO Haishu,ZHANG Yumin,JI Xingquan,et al. Scenario clustering based distributionally robust comprehensive optimization of active distribution network[J].Automation of Electric Power Systems,2020,44(21):32-41.
- [18]陈星宇,张亚超,黄张浩,等.考虑节点边际电价的配电网与多微电网双层鲁棒经济调度[J].电力自动化设备,2023,43(11):51-58.CHEN Xingyu,ZHANG Yachao,HUANG Zhanghao,et al. Bi-level robust economic dispatch of distribution network and multiple microgrids considering locational marginal price[J]. Electric Power Automation Equipment,2023,43(11):51-58.
- [19]吴晗,欧阳森,梁炜焜,等.基于自适应步长ADMM的柔性配电网光-储协同分布鲁棒优化配置[J].电力自动化设备,2023,43(7):35-43.WU Han,OUYANG Sen,LIANG Weikun,et al.Distributionally robust optimization configuration of photovoltaicenergy storage coordination in flexible distribution network based on adaptive step size ADMM[J]. Electric Power Automation Equipment,2023,43(7):35-43.
- [20]杨贺钧,王井寅,马英浩,等.考虑功率互济的多区域电网储能系统联合优化配置[J].电力建设,2024,45(2):79-89.YANG Hejun,WANG Jingyin,MA Yinghao,et al.Joint planning of energy storage systems for multi-area grids considering power interconnection[J].Electric Power Construction,2024,45(2):79-89.
- [21]臧云帆,夏晟,李嘉文,等.含共享储能的微电网群分布鲁棒博弈优化调度方法[J].电力系统保护与控制,2023,51(24):90-101.ZANG Yunfan,XIA Sheng,LI Jiawen,et al. A robust game optimization scheduling method for shared energy storage micro electric network group distribution[J].Power System Protection and Control,2023,51(24):90-101.
- [22]李东东,陈天旭,沈运帷,等.基于联合虚拟储能系统的海岛微电网协同优化策略[J].中国电机工程学报,2023,43(20):7842-7855.LI Dongdong,CHEN Tianxu,SHEN Yunwei,et al.Collaborative optimization of island microgrid based on joint virtual energy storage system strategy[J].Proceedings of the CSEE,2023,43(20):7842-7855.
- [23]朱祥兵.船舶岸电故障诊断方法研究[D].镇江:江苏科技大学,2018.ZHU Xiangbing. Research on fault diagnosis method of ship shore power[D].Zhenjiang:Jiangsu University of Science and Technology,2018.
- [24] ZHAO C Y,GUAN Y P.Data-driven stochastic unit commitment for integrating wind generation[J].IEEE Transactions on Power Systems,2016,31(4):2587-2596.
- 风光储
- 不确定性
- 运行策略
- 分布鲁棒
- 岸电供电系统
wind-solar-storage - uncertainty
- operating strategy
- distributionally robust
- shore power supply system