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1.四川大学电气工程学院,四川省成都市 610065
2.清华四川能源互联网研究院,四川省成都市 610042
石文超(1992—),男,硕士研究生,主要研究方向:配电网运行。E-mail:sipsclar@163.com
吕林(1963—),男,教授,硕士生导师,主要研究方向:配电网规划运行。E-mail:lvlin@scu.edu.cn
高红均(1989—),男,通信作者,博士,副教授,主要研究方向:配电网规划、经济调度、不确定优化在电力系统中的相关应用。E-mail:gaohongjun@scu.edu.cn
收稿日期:2019-06-03,
修回日期:2019-08-06,
网络出版日期:2020-04-22,
纸质出版日期:2020-06-10
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石文超,吕林,高红均等.考虑需求响应和电动汽车参与的主动配电网经济调度[J].电力系统自动化,2020,44(11):41-51.
SHI Wenchao,LYU Lin,GAO Hongjun,et al.Economic Dispatch of Active Distribution Network with Participation of Demand Response and Electric Vehicle[J].Automation of Electric Power Systems,2020,44(11):41-51.
石文超,吕林,高红均等.考虑需求响应和电动汽车参与的主动配电网经济调度[J].电力系统自动化,2020,44(11):41-51. DOI: 10.7500/AEPS20190603006.
SHI Wenchao,LYU Lin,GAO Hongjun,et al.Economic Dispatch of Active Distribution Network with Participation of Demand Response and Electric Vehicle[J].Automation of Electric Power Systems,2020,44(11):41-51. DOI: 10.7500/AEPS20190603006.
传统配电网主动管理设备容量有限,需充分挖掘用户侧调节作用,需求响应和电动汽车有序充电作为用户侧重要可调度资源,是主动配电网经济调度切实可行的调节手段。与此同时,风光出力的不确定性给主动配电网调度带来的风险不容忽视。基于此,考虑需求响应及电动汽车有序充电,提出基于信息间隙决策理论的主动配电网经济调度模型。该模型综合考虑网损、分布式发电弃电惩罚、上级电网购电和负荷峰谷差惩罚的调度成本,构建基于价格弹性系数矩阵的实时电价需求响应模型,利用蒙特卡洛模拟分析了电动汽车在有序充电和无序充电时的负荷需求,并考虑主动配电网的多种管理手段,针对不同风险偏好的决策者,制定机会模型与鲁棒模型,为主动配电网经济调度提供决策基础。最后通过改进的IEEE 33节点系统验证了所提经济调度模型的有效性。
Due to the limited capacity of active management equipment in traditional distribution network
the user-side adjustment needs to be fully considered. As important dispatchable resources
demand response and electric vehicles in coordinated charging mode are two kinds of feasible means for economic dispatch of active distribution network. At the same time
the challenges brought by the uncertainties of wind and solar power output cannot be ignored in the dispatch of active distribution network. Based on the above analysis
an economic dispatch model of active distribution network based on information gap decision theory is proposed by considering demand response and coordinated charging of electric vehicles. The power loss cost
penalty cost of distributed generation power curtailed
power purchasing cost from upper grid and penalty cost related to the peak-to-valley difference are considered simultaneously in the model. Besides
the demand response model of real-time electricity price based on the price elasticity coefficient matrix is constructed and the load demands of electric vehicles in coordinated charging and uncoordinated charging modes are analyzed by using Monte Carlo simulation.Various management means are also considered. Then
opportunity model and robustness model with different risk preference are formulated to provide decision-making basis for decision makers. Finally
the effectiveness of the proposed economic dispatch model is verified by the improved IEEE 33-bus system.
田世明 , 王蓓蓓 , 张晶 . 智能电网条件下的需求响应关键技术 [J]. 中国电机工程学报 , 2014 , 34 ( 22 ): 3576 - 3589 .
TIAN Shiming , WANG Beibei , ZHANG Jing . Key technologies for demand response in smart grid [J]. Proceedings of the CSEE , 2014 , 34 ( 22 ): 3576 - 3589 .
梁宁 , 邓长虹 , 谭津 , 等 . 计及电量电价弹性的主动配电网多时间尺度优化调度 [J]. 电力系统自动化 , 2018 , 42 ( 12 ): 44 - 50 .
LIANG Ning , DENG Changhong , TAN Jin , et al . Optimization scheduling with multiple time scale for active distribution network considering electricity price elasticity [J]. Automation of Electric Power Systems , 2018 , 42 ( 12 ): 44 - 50 .
孙舟 , 田贺平 , 王伟贤 , 等 . 含新能源接入的配电网中储能系统协调控制策略 [J]. 现代电力 , 2018 , 35 ( 1 ): 19 - 25 .
SUN Zhou , TIAN Heping , WANG Weixian , et al . Coordinated control strategy of energy storage systems in distribution network with the integration of new energy [J]. Modern Electric Power , 2018 , 35 ( 1 ): 19 - 25 .
何虹历 , 杨秀 , 劳长石 , 等 . 含需求响应的微网经济优化运行 [J]. 电网与清洁能源 , 2016 , 32 ( 12 ): 39 - 46 .
HE Hongli , YANG Xiu , LAO Changshi , et al . Optimal dispatching model for microgrid considering demand response [J]. Power System and Clean Energy , 2016 , 32 ( 12 ): 39 - 46 .
曾鸣 , 武赓 , 王昊婧 , 等 . 智能用电背景下考虑用户满意度的居民需求侧响应调控策略 [J]. 电网技术 , 2016 , 40 ( 10 ): 2917 - 2923 .
ZENG Ming , WU Geng , WANG Haojing , et al . Regulation strategies of demand response considering user satisfaction under smart power background [J]. Power System Technology , 2016 , 40 ( 10 ): 2917 - 2923 .
胡泽春 , 宋永华 , 徐智威 , 等 . 电动汽车接入电网的影响与利用 [J]. 中国电机工程学报 , 2012 , 32 ( 4 ): 1 - 10 .
HU Zechun , SONG Yonghua , XU Zhiwei , et al . Impacts and utilization of electric vehicles integration into power systems [J]. Proceedings of the CSEE , 2012 , 32 ( 4 ): 1 - 10 .
禹威威 , 刘世林 , 陈其工 , 等 . 考虑电动汽车充电和需求侧响应的光伏微电网多目标优化调度 [J]. 电力系统及其自动化学报 , 2018 , 30 ( 1 ): 88 - 97 .
YU Weiwei , LIU Shilin , CHEN Qigong , et al . Multi-objective optimization scheduling for PV microgrid considering electric vehicle charging and demand response [J]. Proceedings of the CSU-EPSA , 2018 , 30 ( 1 ): 88 - 97 .
侯建朝 , 胡群丰 , 谭忠富 . 计及需求响应的风电-电动汽车协同调度多目标优化模型 [J]. 电力自动化设备 , 2016 , 36 ( 7 ): 22 - 27 .
HOU Jianchao , HU Qunfeng , TAN Zhongfu . Multi-objective optimization model of collaborative WP-EV dispatch considering demand response [J]. Electric Power Automation Equipment , 2016 , 36 ( 7 ): 22 - 27 .
赵俊华 , 文福拴 , 薛禹胜 , 等 . 计及电动汽车和风电出力不确定性的随机经济调度 [J]. 电力系统自动化 , 2010 , 34 ( 20 ): 22 - 29 .
ZHAO Junhua , WEN Fushuan , XUE Yusheng , et al . Power system stochastic economic dispatch considering uncertain outputs from plug-in electric vehicles and wind generators [J]. Automation of Electric Power Systems , 2010 , 34 ( 20 ): 22 - 29 .
GAO Hongjun , LIU Junyong , WANG Lingfeng . Robust coordinated optimization of active and reactive power in active distribution systems [J]. IEEE Transactions on Smart Grid , 2018 , 9 5 ): 4436 - 4447 .
康重庆 , 姚良忠 . 高比例可再生能源电力系统的关键科学问题与理论研究框架 [J]. 电力系统自动化 , 2017 , 41 ( 9 ): 2 - 11 .
KANG Chongqing , YAO Liangzhong . Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy [J]. Automation of Electric Power Systems , 2017 , 41 ( 9 ): 2 - 11 .
李扬 , 韦钢 , 马钰 , 等 . 含电动汽车和分布式电源的主动配电网动态重构 [J]. 电力系统自动化 , 2018 , 42 ( 5 ): 102 - 110 .
LI Yang , WEI Gang , MA Yu , et al . Dynamic reconfiguration of active distribution network considering electric vehicles and distributed generations [J]. Automation of Electric Power Systems , 2018 , 42 ( 5 ): 102 - 110 .
刘继 , 徐箭 , 孙元章 , 等 . 考虑风电功率序列时间相关性的电力系统动态经济调度 [J]. 电力系统自动化 , 2019 , 43 ( 3 ): 43 - 50 .
LIU Ji , XU Jian , SUN Yuanzhang , et al . Dynamic economic dispatch of power system considering the temporal correlation of wind power sequence [J]. Automation of Electric Power Systems , 2019 , 43 ( 3 ): 43 - 50 .
朱正 , 廖清芬 , 刘涤尘 , 等 . 考虑新能源与电动汽车接入下的主动配电网重构策略 [J]. 电力系统自动化 , 2015 , 39 ( 14 ): 82 - 88 .
ZHU Zheng , LIAO Qingfen , LIU Dichen , et al . Strategy of distribution network reconfiguration considering wind power and electric vehicle integration [J]. Automation of Electric Power Systems , 2015 , 39 ( 14 ): 82 - 88 .
肖远兵 , 程浩忠 , 杨卫红 , 等 . 含光伏随机出力的配电网两阶段无功优化 [J]. 现代电力 , 2016 , 33 ( 4 ): 38 - 43 .
XIAO Yuanbing , CHENG Haozhong , YANG Weihong , et al . Two-stage reactive power optimization of distribution network with random PV output [J]. Modern Electric Power , 2016 ,
33 ( 4 ): 38 - 43 . [16] DING T , LI C , YANG Y , et al . A two-stage robust optimization for centralized-optimal dispatch of photovoltaic inverters in active distribution networks [J]. IEEE Transactions on Sustainable Energy , 2017 , 8 ( 2 ): 744 - 754 .
BEN-HAIM Y . Info-gap decision theory: decisions under severe uncertainty [M]. New York, USA : Academic Press , 2006 .
汪超群 , 韦化 , 吴思缘 . 基于信息间隙决策理论的多源联合优化机组组合 [J]. 中国电机工程学报 , 2018 , 38 ( 12 ): 3431 - 3440 .
WANG Chaoqun , WEI Hua , WU Siyuan . Multi-power combined unit commitment based on information gap decision theory [J]. Proceedings of the CSEE , 2018 , 38 ( 12 ): 3431 - 3440 .
SOROUDI A , RABIEE A , KEANE A . Information gap decision theory approach to deal with wind power uncertainty in unit commitment [J]. Electric Power Systems Research , 2017 , 145 : 137 - 148 .
MURPHY C , SOROUDI A , KEANE A . Information gap decision theory based congestion and voltage management in the presence of uncertain wind power [J]. IEEE Transactions on Sustainable Energy , 2016 , 7 ( 2 ): 841 - 849 .
O CONNELL A , SOROUDI A , KEANE A . Distribution network operation under uncertainty using information gap decision theory [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 3 ): 1848 - 1858 .
周楠 , 樊玮 , 刘念 , 等 . 基于需求响应的光伏微网储能系统多目标容量优化配置 [J]. 电网技术 , 2016 , 40 ( 6 ): 1709 - 1716 .
ZHOU Nan , FAN Wei , LIU Nian , et al . Battery storage multi-objective optimization for capacity configuration of PV-based microgrid considering demand response [J]. Power System Technology , 2016 , 40 ( 6 ): 1709 - 1716 .
杨丽君 , 李健强 , 李学平 , 等 . 考虑需求响应的含风电电力系统日前经济调度 [J]. 电工电能新技术 , 2015 , 34 ( 11 ): 29 - 36 .
YANG Lijun , LI Jianqiang , LI Xueping , et al . Day-ahead dispatching for wind power integrated system considering demand response [J]. Advanced Technology of Electrical Engineering and Energy , 2015 , 34 ( 11 ): 29 - 36 .
高红均 , 刘俊勇 , 沈晓东 , 等 . 主动配电网最优潮流研究及其应用实例 [J]. 中国电机工程学报 , 2017 , 37 ( 6 ): 1634 - 1644 .
GAO Hongjun , LIU Junyong , SHEN Xiaodong , et al . Optimal power flow research in active distribution network and its application examples [J]. Proceedings of the CSEE , 2017 ,
37 ( 6 ): 1634 - 1644 .
CHEN S , HU W , CHEN Z . Comprehensive cost minimization in distribution networks using segmented-time feeder reconfiguration and reactive power control of distributed generators [J]. IEEE Transactions on Power Systems , 2016 , 31 ( 2 ): 983 - 993 .
刘剑 . 基于信息间隙决策理论的风电电力系统优化调度研究 [D]. 上海 : 上海电机学院 , 2018 .
LIU Jian . Research on optimal dispatch of power system with wind power based on IGDT [D]. Shanghai : Shanghai Dianji University , 2018 .
吴丽珍 , 蒋力波 , 郝晓弘 . 基于最优场景生成算法的主动配电网无功优化 [J]. 电力系统保护与控制 , 2017 , 45 ( 15 ): 152 - 159 .
WU Lizhen , JIANG Libo , HAO Xiaohong . Reactive power optimization of active distribution network based on optimal scenario generation algorithm [J]. Power System Protection and Control , 2017 , 45 ( 15 ): 152 - 159 .
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