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1.北方工业大学电气与控制工程学院,北京市 100144
2.国网浙江省电力有限公司杭州市富阳区供电公司,浙江省杭州市 311400
3.山西省能源互联网研究院,山西省太原市 030000
Received:02 November 2023,
Revised:2024-04-20,
Published Online:09 August 2024,
Published:25 October 2024
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巨云涛,康晓帆,刘文武等.基于分布鲁棒优化的分布式配-微协同日前调度方法[J].电力系统自动化,2024,48(20):48-58.
JU Yuntao,KANG Xiaofan,LIU Wenwu,et al.Distributed Coordinated Day-ahead Scheduling Method for Distribution Network and Microgrid Based on Distributionally Robust Optimization[J].Automation of Electric Power Systems,2024,48(20):48-58.
巨云涛,康晓帆,刘文武等.基于分布鲁棒优化的分布式配-微协同日前调度方法[J].电力系统自动化,2024,48(20):48-58. DOI: 10.7500/AEPS20231102003.
JU Yuntao,KANG Xiaofan,LIU Wenwu,et al.Distributed Coordinated Day-ahead Scheduling Method for Distribution Network and Microgrid Based on Distributionally Robust Optimization[J].Automation of Electric Power Systems,2024,48(20):48-58. DOI: 10.7500/AEPS20231102003.
微网是消纳新能源和提高配电网可靠性的重要形态,通常有独立的能量管理系统。含多微网的配电网需要协同各个微网,满足安全经济运行的约束。在进行配-微协同调度的过程中,需要采用考虑新能源不确定性、离散调节设备特性的分布式协同方法。针对以上需求,采用分布鲁棒优化建模的思想对新能源的不确定性进行建模,并基于单纯分解方法-非线性分块高斯-赛德尔方法-增广拉格朗日方法(SDM-GS-ALM)对离散调节设备进行处理。该算法通过凸包对整数变量进行逼近,理论上保证了每次计算问题都是凸问题。在凸问题的基础上,将列与约束生成(C&CG)作为外层算法、SDM-GS-ALM作为内层算法内嵌在C&CG的各阶段,实现配-微协同分布式计算框架的构建。最后,基于北美240节点实际工程系统,采用线路运行状态的聚合等值方法验证所提方法的有效性。
Microgrid is an important form to accommodate renewable energy and improve the reliability of distribution network
which usually has an independent energy management system. Distribution networks with multiple microgrids need to cooperate with each microgrid to meet the constraints of safe and economic operation. It is necessary to adopt the distributed coordinated method considering the uncertainty of renewable energy and the characteristics of discrete adjusting equipment in the coordinated scheduling process between distribution networks and microgrids. To meet the above requirements
the renewable energy uncertainty is modeled by using the idea of the distributionally robust optimization modeling. And the discrete adjusting equipment is processed based on the simplicial decomposition method-nonlinear block Gauss-Seidel method-augmented Lagrange method (SDM-GS-ALM). The algorithm approximates integer variables by convex hull
and theoretically ensures that every computation problem is convex. On the basis of convex problem
column-and-constraint generation (C&CG) as the outer algorithm and SDM-GS-ALM as the inner algorithm are embedded in each stage of C&CG
which realizes the construction of distributed coordinated computing framework for distribution networks and microgrids. Finally
based on a real 240-bus engineering system in North America
the aggregate equivalent method of line operation state is used to verify the effectiveness of the proposed method.
郭玲娟 , 魏斌 , 韩肖清 , 等 . 基于集合经验模态分解的交直流混合微电网混合储能容量优化配置 [J]. 高电压技术 , 2020 , 46 ( 2 ): 527 - 537 .
GUO Lingjuan , WEI Bin , HAN Xiaoqing , et al . Capacity optimal configuration of hybrid energy storage in hybrid AC/DC micro-grid based on ensemble empirical mode decomposition [J]. High Voltage Engineering , 2020 , 46 ( 2 ): 527 - 537 .
董晓峰 , 苏义荣 , 吴健 , 等 . 支撑城市能源互联网的主动配电网方案设计及工程示范 [J]. 中国电机工程学报 , 2018 , 38 ( 增刊1 ): 75 - 85 .
DONG Xiaofeng , SU Yirong , WU Jian , et al . Scheme design and engineering demonstration of active distribution network supporting urban energy Internet [J]. Proceedings of the CSEE , 2018 , 38 ( S1 ): 75 - 85 .
CHAUDHARY S K , GUERRERO J M , TEODORESCU R . Enhancing the capacity of the AC distribution system using DC interlinks—a step toward future DC grid [J]. IEEE Transactions on Smart Grid , 2015 , 6 ( 4 ): 1722 - 1729 .
KHODAEI A , SHAHIDEHPOUR M , BAHRAMIRAD S . SCUC with hourly demand response considering intertemporal load characteristics [J]. IEEE Transactions on Smart Grid , 2011 , 2 ( 2 ): 564 - 571 .
巨云涛 , 李子怡 . 城市应急微网群管控关键技术综述 [J]. 山东电力技术 , 2024 , 51 ( 3 ): 8 - 17 .
JU Yuntao , LI Ziyi . Review of key technologies for urban emergency microgrid cluster management and control [J]. Shandong Electric Power , 2024 , 51 ( 3 ): 8 - 17 .
BERTSIMAS D , PACHAMANOVA D , SIM M . Robust linear optimization under general norms [J]. Operations Research Letters , 2004 , 32 ( 6 ): 510 - 516 .
BEN-TAL A , GORYASHKO A , GUSLITZER E , et al . Adjustable robust solutions of uncertain linear programs [J]. Mathematical Programming , 2004 , 99 ( 2 ): 351 - 376 .
PAPAVASILIOU A , OREN S S , O’NEILL R P . Reserve requirements for wind power integration: a scenario-based stochastic programming framework [J]. IEEE Transactions on Power Systems , 2011 , 26 ( 4 ): 2197 - 2206 .
SAHIN C , SHAHIDEHPOUR M , ERKMEN I . Allocation of hourly reserve versus demand response for security-constrained scheduling of stochastic wind energy [J]. IEEE Transactions on Sustainable Energy , 2013 , 4 ( 1 ): 219 - 228 .
黎静华 , 宋骏凤 , 林立成 . 含多区域差异特性新能源的多随机变量联合机会约束改进求解方法 [J/OL]. 中国电机工程学报 [ 2024-03-08 ]. http://kns.cnki.net/kcms/detail/11.2107.TM.20240306.1726.003.html http://kns.cnki.net/kcms/detail/11.2107.TM.20240306.1726.003.html .
LI Jinghua , SONG Junfeng , LIN Licheng . An improved solution method for multi-area systems with different characteristics of renewable energy based on multiple stochastic variables joint chance constraints [J/OL]. Proceedings of the CSEE [ 2024-03-08 ]. http://kns.cnki.net/kcms/detail/11.2107.TM.20240306.1726.003.html http://kns.cnki.net/kcms/detail/11.2107.TM.20240306.1726.003.html .
葛少云 , 杜咏梅 , 郭玥 , 等 . 基于分布鲁棒优化的车-站-网日前能量管理与交易 [J]. 电力系统自动化 , 2024 , 48 ( 5 ): 11 - 20 .
GE Shaoyun , DU Yongmei , GUO Yue , et al . Day-ahead energy management and trading of electric vehicles, charging stations and distribution networks based on distributionally robust optimization [J]. Automation of Electric Power Systems , 2024 , 48 ( 5 ): 11 - 20 .
向月 , 刘俊勇 , 魏震波 , 等 . 考虑可再生能源出力不确定性的微电网能量优化鲁棒模型 [J]. 中国电机工程学报 , 2014 , 34 ( 19 ): 3063 - 3072 .
XIANG Yue , LIU Junyong , WEI Zhenbo , et al . Robust model of microgrid energy optimization with uncertain renewable energy sources [J]. Proceedings of the CSEE , 2014 , 34 ( 19 ): 3063 - 3072 .
刘一欣 , 郭力 , 王成山 . 微电网两阶段鲁棒优化经济调度方法 [J]. 中国电机工程学报 , 2018 , 38 ( 14 ): 4013 - 4022 .
LIU Yixin , GUO Li , WANG Chengshan . Economic dispatch of microgrid based on two stage robust optimization [J]. Proceedings of the CSEE , 2018 , 38 ( 14 ): 4013 - 4022 .
乐健 , 郎红科 , 廖小兵 , 等 . 基于广义线性多面体的有源配电网仿射可调鲁棒优化方法 [J]. 电力系统自动化 , 2023 , 47 ( 22 ): 138 - 148 .
LE Jian , LANG Hongke , LIAO Xiaobing , et al . Affinely adjustable robust optimization method for active distribution network based on generalized linear polyhedral [J]. Automation of Electric Power Systems , 2023 , 47 ( 22 ): 138 - 148 .
AHMED H M A , ELTANTAWY A B , SALAMA M M A . A planning approach for the network configuration of AC-DC hybrid distribution systems [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 3 ): 2203 - 2213 .
WU C T , KARGARIAN A , JEON H W . Data-driven nonparametric joint chance constraints for economic dispatch with renewable generation [J]. IEEE Transactions on Industry Applications , 2021 , 57 ( 6 ): 6537 - 6546 .
孙国强 , 陈晓东 , 周亦洲 , 等 . 基于分布鲁棒机会约束的多类型楼宇电-碳联合分布式交易方法 [J]. 电网技术 , 2023 , 47 ( 8 ): 3078 - 3089 .
SUN Guoqiang , CHEN Xiaodong , ZHOU Yizhou , et al . Electricity-carbon joint distributed trading for multi-type buildings based on distributional robust chance constraint [J]. Power System Technology , 2023 , 47 ( 8 ): 3078 - 3089 .
SHI Z C , LIANG H , HUANG S J , et al . Distributionally robust chance-constrained energy management for islanded microgrids [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 2 ): 2234 - 2244 .
赵毅 , 吴志 , 钱仲豪 , 等 . 计及源-荷时空相关性的主动配电网分布式优化调度 [J]. 电力系统自动化 , 2019 , 43 ( 19 ): 68 - 76 .
ZHAO Yi , WU Zhi , QIAN Zhonghao , et al . Distributed optimal dispatch of active distribution network considering source-load temporal and spatial correlations [J]. Automation of Electric Power Systems , 2019 , 43 ( 19 ): 68 - 76 .
乐健 , 周谦 , 赵联港 , 等 . 基于一致性算法的电力系统分布式经济调度方法综述 [J]. 电力自动化设备 , 2020 , 40 ( 3 ): 44 - 54 .
LE Jian , ZHOU Qian , ZHAO Liangang , et al . Overview of distributed economic dispatch methods for power system based on consensus algorithm [J]. Electric Power Automation Equipment , 2020 , 40 ( 3 ): 44 - 54 .
李翔宇 , 赵冬梅 . 分散架构下多虚拟电厂分布式协同优化调度 [J]. 电工技术学报 , 2023 , 38 ( 7 ): 1852 - 1863 .
LI Xiangyu , ZHAO Dongmei . Distributed coordinated optimal scheduling of multiple virtual power plants based on decentralized control structure [J]. Transactions of China Electrotechnical Society , 2023 , 38 ( 7 ): 1852 - 1863 .
赵波 , 倪筹帷 , 李志浩 , 等 . 基于自适应步长ADMM的电-气混联系统多时间尺度优化调度 [J]. 电力自动化设备 , 2019 , 39 ( 8 ): 294 - 299 .
ZHAO Bo , NI Chouwei , LI Zhihao , et al . Multi-time scale optimal scheduling of electricity-gas hybrid system based on adaptive step size ADMM [J]. Electric Power Automation Equipment , 2019 , 39 ( 8 ): 294 - 299 .
巨云涛 , 杨明友 , 吴文传 . 适用于配电网三相优化潮流的数据物理融合驱动线性化方法 [J]. 电力系统自动化 , 2022 , 46 ( 13 ): 43 - 52 .
JU Yuntao , YANG Mingyou , WU Wenchuan . Hybrid data-physical-driven linearization method for three-phase optimal power flow in distribution network [J]. Automation of Electric Power Systems , 2022 , 46 ( 13 ): 43 - 52 .
GUO L , LIU W J , LI X L , et al . Energy management system for stand-alone wind-powered-desalination microgrid [J]. IEEE Transactions on Smart Grid , 2016 , 7 ( 2 ): 1079 - 1087 .
DING T , YANG Q R , YANG Y H , et al . A data-driven stochastic reactive power optimization considering uncertainties in active distribution networks and decomposition method [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 5 ): 4994 - 5004 .
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 .
BOLAND N , CHRISTIANSEN J , DANDURAND B , et al . A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems [J]. Mathematical Programming , 2019 , 175 ( 1 ): 503 - 536 .
CHEN Y W , GUO Q L , SUN H B . Decentralized unit commitment in integrated heat and electricity systems using SDM-GS-ALM [J]. IEEE Transactions on Power Systems , 2019 , 34 ( 3 ): 2322 - 2333 .
宋靓云 . 考虑风电不确定性的风储联合系统分布鲁棒优化调度 [D]. 北京 : 华北电力大学 , 2021 .
SONG Jingyun . Distributionally robust optimization dispatch model for wind farms and storage units jointly system considering wind power uncertainty [D]. Beijing : North China Electric Power University , 2021
HUANG W J , ZHENG W Y , HILL D J . Distributionally robust optimal power flow in multi-microgrids with decomposition and guaranteed convergence [J]. IEEE Transactions on Smart Grid , 2021 , 12 ( 1 ): 43 - 55 .
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