深圳供电局有限公司,广东,深圳,518000
[ "肖俊阳,1988-,男,高级工程师,学士,主要从事电网基建相关工作(e-mail)920455877@qq.com" ]
[ "罗金阁,(e-mail)809241401@qq.com" ]
纸质出版:2026
移动端阅览
肖俊阳, 罗金阁, 马伟哲, 等. 考虑不确定性的光储直流配电网储能优化定容[J]. 南方能源建设, 2026, 13(2): 44-52.
.
肖俊阳, 罗金阁, 马伟哲, 等. 考虑不确定性的光储直流配电网储能优化定容[J]. 南方能源建设, 2026, 13(2): 44-52. DOI: 10.16516/j.ceec.2024-210.
. DOI: 10.16516/j.ceec.2024-210.
目的
2
方法
2
结果
2
结论
2
Objective
2
Methods
2
Result
2
Conclusion
2
YUAN Y B, LI J, LYU P P, et al. Fault characterization for AC/DC distribution networks considering the control strategy of photovoltaic and energy storage battery [J]. Batteries, 2024, 10(7): 259. DOI: 10.3390/batteries10070259.
CAO W J, ZHANG Y, ZHANG A B, et al. Resonance mechanism and influence characteristics of distributed photovoltaic grid-connected system under weak grid conditions [J]. Electric power construction, 2024, 45(3): 149-159. DOI: 10.12204/j.issn.1000-7229.2024.03.014.
XIE T, SUN D Y, ZHANG G, et al. Optimal capacity configuration of thermal storage within CSP plant in wind-PV-CSP hybrid power generation system considering uncertainty of wind and photovoltaic power [J]. Smart power, 2024, 52(2): 32-39. DOI: 10.3969/j.issn.1673-7598.2024.02.005.
ZHANG X D, WANG J L, WANG J, et al. Enhanced LSTM-based robotic agent for load forecasting in low-voltage distributed photovoltaic power distribution network [J]. Frontiers in neurorobotics, 2024, 18: 1431643. DOI: 10.3389/FNBOT.2024.1431643.
LI J, XU T Q, LI Y, et al. Profitability study of multi-market coupled integrated renewable energy generation projects [J]. Power system protection and control, 2024, 52(6): 65-76. DOI: 10.19783/j.cnki.pspc.231210.
ALAHMAD A K. Voltage regulation and power loss mitigation by optimal allocation of energy storage systems in distribution systems considering wind power uncertainty [J]. Journal of energy storage, 2023, 59: 106467. DOI: 10.1016/j.est.2022.106467.
YANG H J, WANG J Y, MA Y H, et al. Joint planning of energy storage systems for multi-area grids considering power interconnection [J]. Electric power construction, 2024, 45(2):79-89. DOI: 10.12204/j.issn.1000-7229.2024.02.007.
CHEN J W, ZHOU Y, LI X F, et al. Hybrid energy storage control strategy of optical storage DC microgrid [J]. Smart power, 2022, 50(1): 14-20,87. DOI: 10.3969/j.issn.1673-7598.2022.01.003.
WANG Z H, JIA Y B, LI Y C, et al. Optimal capacity configuration of photovoltaic and energy storage system in active distribution network considering influence of power quality [J]. Power system technology, 2024, 48(2): 607-617. DOI: 10.13335/j.1000-3673.pst.2023.0076.
GONG J F, ZHOU Z C, JIN P L, et al. Two-level planning of ESS in AC/DC hybrid distribution network considering flexibility [J]. Electric power construction, 2022, 43(7): 48-56. DOI: 10.12204/j.issn.1000-7229.2022.07.005.
CHEN S, GUO Z W, ZHOU B X, et al. Coordinated optimization scheduling for active distribution networks considering schedulable capacity of energy storage for 5G base stations [J]. Power system technology, 2023, 47(12): 5225-5237. DOI: 10.13335/j.1000-3673.pst.2023.1753.
NASROLLAHI M, ARANDIAN B, BAHARIZADEH M. Robust optimum distribution network scheduling with distributed generations, electric vehicles, and storage units [J]. International journal of energy research, 2022, 46(7): 9431-9443. DOI: 10.1002/er.7815.
WEN C J, CHEN F, CHEN Y Y, et al. Improved iterative local search grey wolf algorithm and its application [J]. Electronic measurement technology, 2023, 46(23): 30-42. DOI: 10.19651/j.cnki.emt.2313837.
YE L H, SHEN Z, XU F, et al. Distributionally robust collaborative optimal allocation method of photovoltaic and energy storage considering photovoltaic uncertainty and temporal correlation [J]. Southern power system technology, 2023, 17(4): 132-143. DOI: 10.13648/j.cnki.issn1674-0629.2023.04.013.
LIU K Y, SHENG W X, ZHAN H Y, et al. Bi-level optimization scheduling of mid-low-voltage AC/DC hybrid distribution network considering interconnection between networks [J]. Electric power construction, 2024, 45(1): 33-44. DOI: 10.12204/j.issn.1000-7229.2024.01.004.
HUANG W D, LI Y, LI J Y, et al. Multi-time scale joint optimal scheduling for wind-photovoltaic-electrochemical energy storage-pumped storage considering renewable energy uncertainty [J]. Electric power automation equipment, 2023, 43(4): 91-98. DOI: 10.16081/j.epae.202210002.
LI J L, TAN Y L, WANG H, et al. Research on configuration optimization of energy storage system in distribution network and optical storage microgrid [J]. High voltage engineering, 2022, 48(5): 1893-1902. DOI: 10.13336/j.1003-6520.hve.20201333.
ZHANG H, ZHOU B, JIANG K T, et al. Comparison of energy efficiency of photovoltaic storage charging station between AC and DC power distribution modes [J]. Proceedings of the CSU-EPSA, 2022, 34(1): 84-92,136. DOI: 10.19635/j.cnki.csu-epsa.000599.
WAN Q Z, LIU W N. Direct power purchase by large consumers considering wind load uncertainty robust interval optimal scheduling [J]. Acta energiae solaris sinica, 2022, 43(7): 347-355. DOI: 10.19912/j.0254-0096.tynxb.2020-1169.
XU Y C, WANG H Y. Research on microgrid optimal dispatching based on improved gray wolf algorithm [J]. Computer simulation, 2023, 40(3): 96-102. DOI: 10.3969/j.issn.1006-9348.2023.03.019.
ZHANG Y, DU C H, CHEN X Y, et al. Simulation of micro grid operation mode switching control with improved acceleration factor [J]. Computer simulation, 2023, 40(9): 76-80. DOI: 10.3969/j.issn.1006-9348.2023.09.015.
XIAO J S, ZHAO T, ZHOU J, et al. Small target detection network based on context augmentation and feature refinement [J]. Journal of computer research and development, 2023, 60(2): 465-474. DOI: 10.7544/issn1000-1239.202110956.
OU Y, ZHOU K Q, YIN P F, et al. Improved grey wolf optimizer algorithm based on dual convergence factor strategy [J]. Journal of computer applications, 2023, 43(9): 2679-2685. DOI: 10.11772/j.issn.1001-9081.2022091389.
LIANG R P. Improving the particle swarm algorithm and its application in multi-power grid connection [D]. Taiyuan: Taiyuan University of Science and Technology, 2023. DOI: 10.27721/d.cnki.gyzjc.2023.000684.
CHEN T. Research on short-term prediction method of photovoltaic power based on learning mechanism [D]. Wuxi: Jiangnan University, 2022. DOI: 10.27169/d.cnki.gwqgu.2022.000696.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621