Framework on Development Direction and Key Technology of Modern Smart Distribution Network

LOU Qihe, LI Yanbin, WANG Dengzheng, XIAO Zhihong, HAN Liu, GAO Xingle

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Framework on Development Direction and Key Technology of Modern Smart Distribution Network

  • LOU Qihe1, LI Yanbin1, WANG Dengzheng2, XIAO Zhihong3, HAN Liu3, GAO Xingle3,4
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Abstract

With the drive of the “dual carbon” goal and the deepening of the construction of new energy system, renewable sources and novel loads, such as distributed power supply, electric vehicles and controllable user-side resources, have developed rapidly and their proportion has reached new heights. The fluctuation and randomness of these new sources and loads pose new challenges to the safe operation and flexible regulation of the distribution networks, and it is urgent to upgrade the distribution network towards modernity and intelligence. In response to the requirements of the development of modern smart distribution networks, the connotation and characteristics of modern smart distribution networks are analyzed, and the intelligent demands and development priorities of distribution networks are elaborated. In view of the diversity and difference of distribution network construction, the key technologies for upgrading traditional distribution network to modernity and intelligence are preliminarily explored by combining five typical scenarios: coordinated development of micro-grid, efficient carrying capacity of charging facilities, efficient utilization of new energy storage, upgrading of urban and rural distribution network, and efficient coordination of generation, network, load and storage. Finally, based on the connotation, characteristics, and development priorities of modern smart distribution networks, the technical development direction and construction priorities of future distribution networks are prospected.

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modern smart distribution network / key technology / distributed power supply / coordination of generation, network, load and storage

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LOU Qihe, LI Yanbin, WANG Dengzheng, XIAO Zhihong, HAN Liu, GAO Xingle. Framework on Development Direction and Key Technology of Modern Smart Distribution Network[J]. Electric Power Construction. 0

References

[1] 李鹏, 王瑞, 冀浩然, 等. 低碳化智能配电网规划研究与展望[J].电力系统自动化, 2021, 45(24): 10-21.
LI Peng, WANG Rui, JI Haoran, et al.Research and Prospect of Planning for Low-carbon Smart Distribution Network[J]. Automation of Electric Power Systems, 2021, 45(24): 10-21.
[2] 滕贤亮, 谈超, 昌力, 等. 高比例新能源电力系统有功功率与频率控制研究综述及展望[J/OL].电力系统自动化[2023-05-25]. http://kns.cnki.net/kcms/detail/32.1180.TP.20230522.1943.004.html.
TENG Xianliang, TAN Chao, CHANG Li, et al. Review and Prospect of Research on Active Power and Frequency Control in Power System with High Proportion of Renewable Energy[J/OL]. Automation of Electric Power Systems[2023-05-25]. http://kns.cnki.net/kcms/detail/32.1180.TP.20230522.1943.004.html.
[3] 高红均, 郭明浩, 刘俊勇, 等. 从四川高温干旱限电事件看新型电力系统保供挑战与应对展望[J/OL].中国电机工程学报[2023-05-25]. DOI:10.13334/j.0258-8013.pcsee.222971.
GAO Hongjun, GUO Minghao, LIU Junyong, et al. Power supply challenges and prospects in new-generation power system from Sichuan electricity curtailment events caused by hightemperature drought weather[J/OL]. Proceedings of the CSEE[2023-05-25]. https://doi.org/10.13334/j.0258-8013.pcsee.222971.
[4] 马钊, 安婷, 尚宇炜. 国内外配电前沿技术动态及发展[J]. 中国电机工程学报, 2016, 36(06): 1552-1567.
MA Zhao, AN Ting, SHANG Yuwei.State of the Art and Development Trends of Power Distribution Technologies[J]. Proceedings of the CSEE, 2016, 36(06): 1552-1567.
[5] 宋璇坤, 韩柳, 鞠黄培, 等. 中国智能电网技术发展实践综述[J]. 电力建设, 2016, 37(07): 1-11.
SONG Xuankun, HAN Liu, JU Huangpei, et al.A Review on Development Practice of Smart Grid Technology in China[J]. Electric Power Construction, 2016, 37(07): 1-11.
[6] 谭泽富, 周正洋, 高树坤, 等. V2G应用进展综述[J]. 重庆理工大学学报, 2023, 37(03): 222-229.
TAN Zefu, ZHOU Zhengyang, GAO Shukun, et al.Literature review of Vehicle-to-Grid application progress[J]. Journal of Chongqing University of Technology, 2023, 37(03): 222-229.
[7] 王成山, 李鹏, 于浩. 智能配电网的新形态及其灵活性特征分析与应用[J]. 电力系统自动化, 2018, 42(10): 13-21.
WANG Chengshan, LI Peng, YU Hao.Development and Characteristic Analysis of Flexibility in Smart Distribution Network[J]. Automation of Electric Power Systems, 2018, 42(10): 13-21.
[8] 孙建军, 王灿, 陈业伟, 等. 新型配电网运行韧性综述与展望[J]. 武汉大学学报, 2022, 55(09): 919-929.
SUN Jianjun, WANG Can, CHEN Yewei, et al.Review and prospects of operation resilience in novel distribution network[J]. Engineering Journal of Wuhan University, 2022, 55(09): 919-929.
[9] 郭力, 李霞林, 王成山. 计及非线性因素的混合供能系统协调控制[J]. 中国电机工程学报, 2012, 32(25): 60-69.
Guo Li, Li Xialin, Wang Chengshan.Coordinated control of hybrid power supply systems considering non-linear factors[J]. Proceedings of the CSEE, 2012, 32(25): 60-69.
[10] 张明锐, 黎娜, 杜志超, 等.基于小信号模型的微网控制参数选择与稳定性分析[J]. 中国电机工程学报, 2012, 32(25): 9-19.
Zhang Mingrui. Li Na. Du Zhichao, et al.Control parameter selection and stability analysis of microgrid based on small-signal model[J]. Proceedings of the CSEE, 2012, 32(25): 9-19.
[11] Prodanovic M. Green T C.High-quality power generation through distributed control of a power park microgrid[J]. IEEE Transactions on Industrial Electronics, 2006, 53(5): 1471-1482.
[12] Muller H, Rudolf A, Aumayr G.Studies of distributed energy supply systems using an innovance energy management system[C]//Proceedings of 2001 IEEE Power Engineering Society Meeting. Sydney: Institute of Electrical and Electronics Engineers Inc.,2001: 87-90.
[13] 许莹, 陈卓, 郝正航, 等. 混合微电网并离网切换控制技术研究[J]. 电网与清洁能源, 2023, 39(04): 137-146.
XU Ying, CHEN Zhuo, HAO Zhenghang, et al.Research on Parallel Off-Grid Switching Control Technology of Hybrid Microgrid[J]. Power System and Clean Energy, 2023, 39(04): 137-146.
[14] 周龙, 齐智平. 微电网保护研究综述[J]. 电力系统保护与控制, 2015, 43(13): 147-154.
ZHOU Long, QI Zhiping.A review of the research on microgrid protection development[J]. Power System Protection and Control, 2015, 43(13): 147-154.
[15] Sortomme E, Venkata S S, Mitra J.Microgrid protection using communication-assisted digital relays[J]. IEEE Transactions on Power Delivery, 2010, 25(4): 2789-2796.
[16] 金鹏, 艾欣, 许佳佳. 基于序列运算理论的孤立微电网经济运行模型[J]. 中国电机工程学报, 2012, 32(25): 52-59.
Jin Peng, Ai Xin, Xu Jiajia, et al.An economic operation model for isolated microgrid based on sequence operation theory[J]. Proceedings of the CSEE, 2012, 32(25): 52-59.
[17] 徐立中, 杨光亚, 许昭, 等.考虑风电随机性的微电网热电联合调度[J]. 电力系统自动化, 2011, 35(09): 53-60.
Xu Lizhong, Yang Guangya, Xu Zhao, et al.Combined scheduling of electricity and heat in a microgrid with volatile wind power[J]. Automation of Electric Power Systems, 2011, 35(9): 53-60.
[18] 孟明, 陈世超, 赵树军, 等. 新能源微电网研究综述[J]. 现代电力, 2017, 34(01): 1-7.
MENG Ming, CHEN Shichao, ZHAO Shujun, et al.Overview on Research of Renewable Energy Microgrid[J]. Modern Electric Power, 2017, 34(01): 1-7.
[19] 王成山,武震,李鹏.微电网关键技术研究[J]. 电工技术学报, 2014, 29(02): 1-12.
WANG Chengshan, WU Zhen, LI Peng.Research on key technologies of microgrid[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 1-12.
[20] 王震坡, 张瑾, 刘鹏, 张照生. 电动汽车充电站规划研究综述[J]. 中国公路学报, 2022, 35(12): 230-252.
WANG Zhenpo, ZHANG Jin, LIU Peng, et al.Overview of Planning of Electric Vehicle Charging Stations[J]. China Journal of Highway and Transport, 2022, 35(12): 230-252.
[21] Wang Z P, Liu P, Han H B, et al. A Distribution Model of Electric Vehicle Charging Station[J]. Applied Mechanics & Materials, 2011, 44-47: 1543-1548.
[22] 刘自发, 张伟, 王泽黎. 基于量子粒子群优化算法的城市电动汽车充电站优化布局[J]. 中国电机工程学报, 2012, 32(22): 39-45.
Liu Zifa, Zhang Wei, Wang Zeli.Optimal Planning of Charging Station for Electric Vehicle Based on Quantum PSO Algorithm[J]. Proceedings of the CSEE, 2012, 32(22):39-45.
[23] Schmidt M, Staudt P, Weinhardt C.Evaluating the importance and impact of user behavior on public destination charging of electric vehicles[J]. Applied Energy, 2020, 258: 114061.
[24] Liu A, Zhao Y, Meng X, et al.A three-phase fuzzy multi-criteria decision model for charging station location of the sharing electric vehicle[J]. International Journal of Production Economics, 2020, 225: 107572.
[25] Harris C B, Webber M E.An empirically- validated methodology to simulate electricity demand for electric vehicle charging[J]. Applied Energy, 2014, 126: 172-181.
[26] Schuble J, Kaschub T, Ensslen A, et al.Generating electric vehicle load profiles from empirical data of three EV fleets in Southwest Germany[J]. Journal of Cleaner Production, 2017, 150: 253-266.
[27] Wolbertus R, Kroesen M, Robert V, et al.Fully charged: An empirical study into the factors that influence connection times at EV-charging stations[J]. Energy Policy, 2018, 123: 1-7.
[28] Chen T, Kockelman K, Khan M.Locating Electric Vehicle Charging Stations[J]. Transportation Research Record Journal of the Transportation Research Board, 2014, 2385: 28-36.
[29] He J, Yang H, Tang T Q, et al.An optimal charging station location model with the consideration of electric vehicle's driving range[J]. Transportation Research Part C: Emerging Technologies, 2018, 86: 641-654.
[30] Sylvia Y, Kuo Y H, Yong-Hong, et al.Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China[J]. Transportation research, Part C. Emerging technologies, 2016, 67: 131-148.
[31] Upchurch C, Kuby M, Lim S.A Model for Location of Capacitated Alternative-Fuel Stations[J]. Geographical Analysis, 2009, 41(1): 85-106.
[32] Liu H, Wang D.Locating multiple types of charging facilities for battery electric vehicles[J]. Transportation Research Part B Methodological, 2017, 103: 30-55.
[33] Xiang Y, Liu J, Li R, et al.Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates[J]. Applied Energy, 2016, 178: 647-659.
[34] 侯慧, 王逸凡, 赵波, 等.价格与激励需求响应下电动汽车负荷聚集商调度策略[J]. 电网技术, 2022, 46(04): 1259-1269.
HOU Hui, WANG Yifan, ZHAO Bo, et al.Dispatching strategy of electric vehicle aggregator under price and incentive demand response[J]. Power System Technology, 2022, 46(04): 1259-1269.
[35] 张聪, 张祥文, 夏俊荣, 等.电动汽车实时可调度容量评估方法研究[J].电力系统保护与控制, 2015, 43(22): 99-106.
ZHANG Cong, ZHANG Xiangwen, XIA Junrong, et al.Research on estimation of electric vehicles real- time schedulable capacity[J]. Power System Protection and Control, 2015, 43(22): 99-106.
[36] 邓艺璇, 黄玉萍, 黄周春. 基于随机森林算法的电动汽车充放电容量预测[J]. 电力系统自动化, 2021, 45(21): 181-188.
DENG Yixuan, HUANG Yuping, HUANG Zhouchun.Charging and discharging capacity forecasting of electric vehicles based on random forest algorithm[J]. Automation of Electric Power Systems, 2021, 45(21): 181-188.
[37] Clement-Nyns K, Haesen E, Driesen J.The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid[J]. IEEE Transactions on Power Systems, 2010, 25(1): 371-380.
[38] 吴雨, 王育飞, 张宇, 等. 基于改进免疫克隆选择算法的电动汽车充电站选址定容方法[J].电力系统自动化, 2021, 45(07): 95-103.
WU Yu, WANG Yufei, ZHANG Yu, et al.Siting and sizing method of electric vehicle charging station based on improved immune clonal selection algorithm[J]. Automation of Electric Power Systems, 2021, 45(7): 95-103.
[39] 董龙昌, 陈民铀, 李哲, 等. 基于V2G的电动汽车有序充放电控制策略[J]. 重庆大学学报, 2019, 42(01): 1-15.
DONG Longchang, CHEN Minyou, LI Zhe, et al.Order edcharging and discharging control strategy of EVs based on V2G[J]. Journal of Chongqing University, 2019, 42(1): 1-15.
[40] 肖冰, 吴晓丹, 尹宏学, 等.蒙东地区适应新能源消纳的储能系统配置效果分析[J]. 热力发电, 2020, 49(07): 13-20.
XIAO Bing, WU Xiaodan, YIN Hongxue, et al.Configuration effect of energy storage system in Mengdong grid for new energy consumption[J]. Thermal Power Generation, 2020, 49(7): 13-20.
[41] 鄂志君, 王桂林, 李振斌, 等. 提升新能源电网消纳水平的混合储能系统优化控制方法[J]. 电力系统及其自动化学报, 2021, 33(03): 132-137.
E Zhijun, WANG Guilin, LI Zhenbin, et al. Optimization control method for hybrid energy storage system to enhance the renewable energy absorption level of power grid[J]. Proceedings of the CSU-EPSA, 2021, 33(3): 132-137.
[42] 王晓东, 苗宜之, 卢奭瑄, 等. 基于SCM-ANFIS负荷预测的储能电站调峰控制策略[J]. 太阳能学报, 2018, 39(06): 1651-1657.
WANG Xiaodong, MIAO Yizhi, LU Shixuan, et al.Peak regulation control strategy of energy storage power station based on scm-anfis load forecast[J].Acta Energiae Solaris Sinica, 2018, 39(6): 1651-1657.
[43] 张智, 周明, 武昭原, 等. 考虑动态频率支撑的储能选址定容规划方法[J]. 中国电机工程学报, 2023, 43(07): 2708-2721.
ZHANG Zhi, ZHOU Ming, WU Zhaoyuan, et al.Energy storage location and capacity planning method considering dynamic frequency support[J]. Proceedings of the CSEE, 2023, 43(07): 2708-2721.
[44] 柴文化. 抑制直流系统连续换相失败的储能电站控制策略[D]. 北京: 华北电力大学, 2021.
[45] Li J, Ma X Y, Liu C C, et al.Distribution System Restoration With Microgrids Using Spanning Tree Search[J]. IEEE Transactions on Power Systems, 2014, 29(6):3021-3029.
[46] 宋天昊, 李柯江, 韩肖清, 等.储能系统参与多应用场景的协同运行策略[J]. 电力系统自动化, 2021, 45(19): 43-51.
SONG Tianhao, LI Kejiang, HAN Xiaoqing, et al.Coordinated operation strategy of energy storage system participating in multiple application scenarios[J]. Automation of Electric Power Systems, 2021, 45(19): 43-51.
[47] 李煜阳, 李相俊, 刘国静, 修晓青. 适应多功能需求的储能系统优化运行研究[J]. 供用电, 2021, 38(06): 29-34.
LI Yuyang, LI Xiangjun, LIU Guojing, et al.Research on distributed energy storage operation majorization under multiple application scenarios[J]. Distribution & Utilization, 2021, 38(6): 29-34, 42.
[48] 熊雄, 杨仁刚, 叶林, 等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报, 2013, 28(09): 224-230.
XIONG Xiong, YANG Rengang, YE Lin, et al.Economic Evaluation of Large-Scale Energy Storage Allocation in Power Demand Side[J]. Transactions of China Electrotechnical Society, 2013, 28(09): 224-230.
[49] 张志华, 刘健, 张小庆, 等. 面向供电可靠性的城市配电网单相接地故障处理配置策略研究[J]. 供用电, 2022, 39(09): 27-34.
ZHANG Zhihua, LIU Jian, ZHANG Xiaoqing, et al.Research on strategy of single-phase grounding fault treatment in urban distribution network for power supply reliability[J]. Distribution & Utilization, 2022, 39(9): 27-34.
[50] 雷敏, 魏务卿, 曾进辉, 等. 考虑需求响应的负荷控制对供电可靠性影响分析[J]. 电力系统自动化, 2018, 42(10): 59-65.
LEI Min, WEI Wuqing, ZENG Jinhui, et al.Effect of load control on power supply reliability considering demand response[J]. Automation of Electric Power Systems, 2018, 42(10): 53-59.
[51] 廖一茜, 张静, 王主丁, 等. 中压架空线开关配置三阶段优化算法[J]. 电网技术, 2018, 42(10): 3413-3419.
LIAO Yixi, ZHANG Jing, WANG Zhuding, et al.Three-stage optimization algorithm for the sectionalizing switch placement of a medium voltage overhead line[J]. Power System Technology, 2018, 42(10): 3413-3419.
[52] 陈碧云, 郑瑜. 计及模糊聚类的配电网可靠性多指标定价方法[J]. 电网与清洁能源, 2018, 34(11): 15-21.
CHEN Biyun, ZHENG Yu.Multi-index pricing method for distribution network reliability with fuzzy clustering considered[J]. Power System and Clean Energy, 2018, 34(11): 15-21.
[53] 苏韵掣, 刘俊勇, 刘友波, 等. 大规模中压配电网可靠性建设改造措施优选模型及求解方法[J]. 电网技术, 2017, 41(1): 201-210.
SU Yunche, LIU Junyong, LIU Youbo, et al.Optimization model of selecting power supply reliability reconstruction measures in large-scale MV distribution network and its solution method[J]. Power System Technology, 2017, 41(1): 201-210.
[54] 谢义苗, 熊颖杰, 赖永萍, 等. 城市配电网高可靠性网架设计方案[J]. 供用电, 2019, 36(12): 55-61.
XIE Yimiao, XIONG Yingjie, LAI Yongping, et al.High-reliability grid design scheme for urban distribution network[J]. Distribution & Utilization, 2019, 36(12): 55-61.
[55] 宋若晨, 袁明瀚, 仇成. 上海城市配电网分层架构中应用“开关站链”模式的可靠性优化策略[J]. 电网技术, 2022, 46(11): 4466-4472.
SONG Ruochen, YUAN Minghan, QIU Cheng.Reliability Upgrade Strategy With Application of Switch Station Chain Mode in Layered Architecture of Shanghai Electricity Distribution Network[J]. Power System Technology, 2022, 46(11): 4466-4472.
[56] 郁海彬,董烨,翁锦德,胡忻晨,严威,吴迪凡.电力5G切片在城市配电网中的应用及经济效益研究[J/OL]. 综合智慧能源, 1-9[2023-05-23].
YU Haibin, DONG Ye, WENG Jinde, et al.Research on the application and economic benefits of 5G slice in the urban distribution network[J/OL]. Integrated Intelligent Energy, 1-9[2023-05-23].
[57] 于洋, 孙辉, 方照, 等. 配电网保护通信时延需求约束的5G通信切片接入优化研究[J]. 供用电, 2021, 38(05): 29-34.
YU Yang, SUN Hui, FANG Zhao, et al.Research on 5G communication slice access optimization with communication delay demand constraint of distribution network protection[J]. Distribution & Utilization, 2021, 38(5): 29-34.
[58] 杨金东, 吴万军, 孙文静, 王哲. 含高渗透率光伏的农村配电网三相不平衡治理[J]. 供用电, 2023, 40(01): 65-72.
YANG Jindong, WU Wanjun, SUN Wenjing, et al.Three-phase imbalance control of rural distribution network with high-penetration photovoltaic[J]. Distribution & Utilization, 2023, 40(1): 65-72.
[59] 詹琪, 李鹏丽, 孟晓丽, 等. 考虑经济性最优的农村配电网储能调压策略[J]. 农村电气化, 2023(2): 18-23.
ZHAN Qi, LI Pengli, MENG Xiaoli, et al.Energy Storage and Voltage Regulation Strategy for Rural Distribution Network Considering Economic optimization[J]. Rural Electrification, 2023(2): 18-23.
[60] 易春磊, 柴良明, 王世友, 等. 基于改进型混沌遗传算法的农村配电网无功补偿研究[J]. 电气自动化, 2022, 44(04): 40-43.
Yi Chunlei, Chai Liangming, Wang Shiyou, et al.Research on reactive power compensation of rural distribution network based on improved chaotic genetic algorithm[J]. Electrical Automation, 2022, 44(04): 40-43.
[61] 刘佳男, 李业行, 张董, 等.基于风光储一体化的新型农村配电网研究[J]. 山东电力技术, 2021, 48(11): 42-49.
LIU Jianan, LI Yehang, ZHANG Dong, et al.Study on new rural distribution network based on the integration of wind solar energy and storage[J]. Shandong Electric Power, 2021, 48(11): 42-49.
[62] 何启晨, 阮浩洁, 王劲松. 台区低压柔性互联技术在新农村配电网的实践应用[J]. 农村电气化, 2023(03): 32-38.
HE Qichen, RUAN Haojie, WANG Jingsong.Practical Application of Low-voltage Flexible Interconnection Technology of Station Area for New Rural Distribution Network[J]. Rural Electrification, 2023(03): 32-38.
[63] Liu X Z, Mancarella P.Modelling, assessment and sankey diagrams of integrated electricity- heat-gas networks in multivector district energy systems[J]. Applied Energy, 2016, 167: 336-352.
[64] 张新, 杨建华, 王维洲, 等. 面向农村微能网的评价指标构建及应用[J]. 农业工程学报, 2020, 36(06): 196-205.
Zhang Xin, Yang Jianhua, Wang Weizhou, et al.Construction and application of evaluation indexes for rural micro-energy-grid[J]. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(6): 196-205.
[65] 金秋龙, 刘文霞, 成锐, 等. 基于完全信息动态博弈理论的光储接入网源协调规划[J]. 电力系统自动化, 2017, 41(21): 112-118.
JIN Qiulong, LIU Wenxia, CHENG Rui, et al.Coordinated planning model for photovoltaic station, storage battery and grid based on complete information dynamic game[J]. Automation of Electric Power Systems, 2017, 41(21): 112-118.
[66] 李逐云, 雷霞, 邱少引, 等.考虑“源-网-荷”三方利益的主动配电网协调规划[J]. 电网技术, 2017, 41(02): 378-387.
LI Zhuyun, LEI Xia, QIU Shaoyin, et al.Coordinated planning of active distribution network considering “source-grid-load” benefits[J]. Power System Technology, 2017, 41(2): 378-387.
[67] 刘自发, 张子腾. 考虑多主体博弈的配电网源网荷储协同规划[J/OL]. 电网技术: 1-13[2023-05-24].DOI:10.13335/j.1000-3673.
LIU Zifa, ZHANG Ziteng.Collaborative planning of distribution network source-network- load-storage considering multi-agent game[J]. Power System Technology: 1-13[2023-05-24]. DOI:10.13335/j.1000-3673.
[68] 徐韵, 颜湘武, 李若瑾, 等. 电力市场环境下含“源-网-荷-储”互动的主动配电网有功/无功联合优化[J]. 电网技术, 2019, 43(10): 3778-3789.
XU Yun, YAN Xiangwu, LI Ruojin, et al.Joint optimization of active and reactive powers in active distribution network with “generation-grid -load-energy storage’’ interaction in power market environment[J]. Power System Technology, 2019, 43(10): 3778-3788.
[69] Guo Y, Wu Q, Gao H, et al.MPC-based coordinated voltage regulation for distribution networks with distributed generation and energy storage system[J]. IEEE Transactions on Sustainable Energy, 2019, 10(4): 1731-1739.
[70] 柴园园, 赵晓波, 吕超贤, 等. 基于Fisher时段划分的配电网源网荷储多时间尺度协调优化调控策略[J/OL].电网技术:1-14[2023-05-24]. DOI:10.13335/j.1000-3673.
CHAI Yuanyuan, ZHAO Xiaobo1, LÜ Chaoxian, et al. Coordinated Multi-time Scale Optimal Regulation Strategy for Source-Grid-Load- Storage of Distribution Network Based on Fisher Period Division[J/OL].Power System Technology:1-14[2023-05-24].DOI:10.13335/j.1000-3673.
[71] 黄慧, 李永刚, 刘华志. 基于改进Nash-Q均衡迁移算法的源网荷储协同优化策略[J/OL]. 电力自动化设备:1-15[2023-05-24]. DOI: 10.16081/j.epae.202303039.
HUANG Hui, LI Yonggang, LIU Huazhi.Collaborative optimization strategy of source-grid-load-energy storage based on improved Nash-Q equalization transfer algorithm[J/OL]. Electric Power Automation Equipment: 1-15[2023-05-24]. DOI: 10.16081/j.epae.202303039.
[72] 刘敦楠, 徐尔丰, 许小峰. 面向园区微网的“源-网-荷-储”一体化运营模式[J]. 电网技术, 2018, 42(03): 681-689.
LIU Dunnan, XU Erfeng, XU Xiaofeng.“Source -Network-Load-Storage” Integrated Operation Model for Microgrid in Park[J]. Power System Technology, 2018, 42(03): 681-689.
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