Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (6): 52-58.doi: 10.3969/j.issn.2097-0706.2022.06.006
• Integrated Energy System • Previous Articles Next Articles
WANG Xin1(), CHEN Zucui2(
), BIAN Zaiping1(
), WANG Yeyao1(
), WU Yumiao2(
)
Received:
2022-03-11
Revised:
2022-05-13
Published:
2022-06-25
CLC Number:
WANG Xin, CHEN Zucui, BIAN Zaiping, WANG Yeyao, WU Yumiao. Optimal allocation of a wind‒PV‒battery hybrid system in smart microgrid based on particle swarm optimization algorithm[J]. Integrated Intelligent Energy, 2022, 44(6): 52-58.
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URL: https://www.hdpower.net/EN/10.3969/j.issn.2097-0706.2022.06.006
[1] | 詹天津, 谢玉荣. 国内分布式光伏发展形势分析及思考[J]. 华电技术, 2021, 43(12):60-65. |
ZHAN Tianjin, XIE Yurong. Development status analysis and consideration on domestic distributed PV energy[J]. Huadian Technology, 2021, 43(12):60-65. | |
[2] | 卞在平, 王鑫, 王小明. 区域微电网离网转并网改造方案设计[J]. 华电技术, 2018, 40(10):19-21,76-77. |
BIAN Zaiping, WANG Xin, WANG Xiaoming. The design of reginal microgrid switched from island to grid-connected[J]. Huadian Technology, 2018, 40(10):19-21,76-77. | |
[3] | 朱燕梅, 陈仕军, 黄炜斌, 等. 一定弃风光率下的水光风互补发电系统容量优化配置研究[J]. 水电能源科学, 2018, 36(7):215-218. |
ZHU Yanmei, CHEN Shijun, HUANG Weibin, et al. Optimal capacity configuration of hydro-photovoltaic-wind complementary power generation system under wind and photovoltaic curtailment[J]. Water Resources and Power, 2018, 36(7):215-218. | |
[4] | 周磊, 董学育, 朱建忠, 等. 基于改进蜂群算法的微电网优化调度[J]. 电气自动化, 2020, 42(5):45-47. |
ZHOU Lei, DONG Xueyu, ZHU Jianzhong, et al. Optimal micro-grid scheduling based on the improved bee colony algorithm[J]. Electrical Automation, 2020, 42(5):45-47. | |
[5] | 张程翔, 汪科, 陆莹, 等. 微电网中储能运行模式自发切换的对策研究[J]. 电气传动, 2021, 51(23):70-75. |
ZHANG Chengxiang, WANG Ke, LU Ying, et al. Research on countermeasures for spontaneously mode switching of energy storage system in microgrid[J]. Electric Drive, 2021, 51(23):70-75. | |
[6] | 吴倩, 王洋, 王琳媛, 等. 计及波动平抑与经济性的风光储系统中混合储能容量优化配置[J]. 电测与仪表, 2020, 59(4):112-119. |
WU Qian, WANG Yang, WANG Linyuan, et al. Optimal capacity allocation of hybrid energy storage system in wind-solar-battery system considering fluctuation smoothing and economy[J]. Electrical Measurement & Instrumentation, 2020, 59(4):112-119. | |
[7] | 文旭, 陈鑫, 张爱枫, 等. 含可调节负荷的风光互补微电网随机调度市场风险管控方法[J]. 电网技术, 2021, 45(11):4308-4318. |
WEN Xu, CHEN Xin, ZHANG Aifeng, et al. Stochastic dispatching market risk control for wind and photovoltaic microgrid integrated with adjustable load[J]. Power System Technology, 2021, 45(11):4308-4318. | |
[8] | 李彦哲, 郭小嘉, 董海鹰, 等. 风/光/储微电网混合储能系统容量优化配置[J]. 电力系统及其自动化学报, 2020, 32(6):123-128. |
LI Yanzhe, GUO Xiaojia, DONG Haiying, et al. Optimal capacity configuration of wind/PV/storage hybrid energy storage system in microgrid[J]. Proceedings of the CSU-EPSA, 2020, 32(6):123-128. | |
[9] | 李延和, 杨立滨, 郝丽丽, 等. 基于改进样板机法的风光互补新能源电站容量配比优化[J]. 电力工程技术, 2022, 41(2):224-233. |
LI Yanhe, YANG Libin, HAO Lili, et al. Capacity ratio optimization of wind-solar hybrid new energy power station based on improved model-generator method[J]. Electric Power Engineering Technology, 2022, 41(2):224-233. | |
[10] | 李湃, 方保民, 祁太元, 等. 基于源-荷匹配的区域电网风/光/储容量配比优化方法[J]. 中国电力, 2022, 55(1):46-54. |
LI Pai, FANG Baomin, QI Taiyuan, et al. Capacity proportion optimization of wind,solar power and battery energy storage system for regional power grid based on source-load matching[J]. Electric Power, 2022, 55(1):46-54. | |
[11] | 胡林静, 刘彤, 侯梦梦. 基于免疫粒子群算法的风/光/柴/储容量优化配置[J]. 科学技术与工程, 2020, 20(36):14967-14973. |
HU Linjing, LIU Tong, HOU Mengmeng. Optimal allocation of wind/photovoltaic/diesel/storage capacity based on immune particle swarm optimization[J]. Science Technology and Engineering, 2020, 20(36):14967-14973. | |
[12] | 杨颖, 刘友波, 黄媛, 等. 电能替代下考虑需求响应的综合园区风光储配置方法[J]. 电力建设, 2021, 42(10):9-18. |
YANG Ying, LIU Youbo, HUANG Yuan, et al. Allocation of wind-solar-battery under electric energy substitution in integrated park considering demand response[J]. Electric Power Construction, 2021, 42(10):9-18. | |
[13] | 罗星岩, 马少华. 考虑经济性的大规模风光储系统容量优化配置[J]. 东北电力技术, 2021, 42(9):13-17,25. |
LUO Xingyan, MA Shaohua. Optimal configuration of large-scale wind and solar storage system capacity considering economy[J]. Northeast Electric Power Technology, 2021, 42(9):13-17,25. | |
[14] | 陈志峰, 梁海锋, 张紫凡, 等. 楼宇光储直流微电网结构及控制[J]. 电气自动化, 2022, 44(2):41-44. |
CHEN Zhifeng, LIANG Haifeng, ZHANG Zifan, et al. Structure and control of DC microgrid for building optical storage[J]. Electrical Automation, 2022, 44(2):41-44. | |
[15] | 吴小涛, 谭超, 王国博. 基于自适应PI控制器的直流微电网电压控制策略研究[J]. 华电技术, 2021, 43(9):14-22. |
WU Xiaotao, TAN Chao, WANG Guobo. Voltage control strategy for DC microgrid based on adaptive PI controller[J]. Huadian Technology, 2021, 43(9):14-22. | |
[16] | ZHANG S S, YANG W J, LI X D, et al. Economic evaluation of wind-PV-pumpedstorage hybrid system considering carbon emissions[J]. Energy Reports, 2022, 8(S5):1249-1258. |
[17] | 郝晓弘, 王锐, 裴婷婷, 等. 基于改进鲸鱼算法的微电网系统容量优化研究[J]. 自动化与仪表, 2022, 37(3):11-16. |
HAO Xiaohong, WANG Rui, PEI Tingting, et al. Research on microgrid system capacity optimization based on improved whale algorithm[J]. Automation & Instrumentation, 2022, 37(3):11-16. | |
[18] | 李彬, 杜亚彬, 曹望璋, 等. 考虑风光储互补与工作负载分配的数据中心优化调度[J]. 现代电力, 2022, 39(3):356-363. |
LI Bin, DU Yabin, CAO Wangzhang, et al. Optimal scheduling of data center considering wind-solar-storage complementary and workload distribution[J]. Modern Electric Power, 2022, 39(3):356-363. | |
[19] | 程韧俐, 梁顺, 傅强, 等. 基于虚拟储能的微电网风光储容量优化配置方法研究[J]. 可再生能源, 2021, 39(3):372-379. |
CHENG Renli, LIANG Shun, FU Qiang, et al. Research on optimal configuration method of microgrid storage capacity based on virtual energy storage[J]. Renewable Energy Resources, 2021, 39(3):372-379. | |
[20] | 汪希玥, 徐箭, 廖思阳, 等. 考虑虚拟储能特性的柔性负荷调控裕度评估方法[J]. 华电技术, 2021, 43(9):37-45. |
WANG Xiyue, XU Jian, LIAO Siyang, et al. DFlexible load regulation margin evaluation method considering virtual energy storage characteristics[J]. Huadian Technology, 2021, 43(9):37-45. | |
[21] | 郝晓弘, 郝雪君, 周强, 等. 风光气储联合发电最优容量配比问题研究[J]. 自动化与仪表, 2020, 35(2):90-94. |
HAO Xiaohong, HAO Xuejun, ZHOU Qiang, et al. Research on optimal capacity ratio of wind,solar and natural gas storage combined generation[J]. Automation & Instrumentation, 2020, 35(2):90-94. | |
[22] | 肖白, 刘健康, 张博, 等. 考虑阶梯碳交易和需求响应的含氢储能的并网型微电网优化配置[J/OL]. 电力自动化设备, 2022.(2022-04-25) [2022-05-11]. https://doi.org/10.16081/j.epae.202204074. |
XIAO Bai, LIU Jiankang, ZHANG Bo, et al. Optimal configuration ofgrid-connected microgrid with hydrogen energy storage considering ladder-type carbon trading and demand response[J/OL]. Electric Power Automation Equipment, 2022.(2022-04-25) [2022-05-11].DOI: 10.16081/j.epae.202204074.
doi: 10.16081/j.epae.202204074 |
|
[23] | 王少林, 王刚, 王晓磊, 等. 基于改进蜂群算法的电动汽车微电网优化调度[J]. 电气应用, 2022, 41(4):63-70,13-14. |
WANG Shaolin, WANG Gang, WANG Xiaolei, et al. Optimal scheduling of electric vehicle microgrid based on improved bee colony algorithm[J]. Electrotechnical Application, 2022, 41(4):63-70,13-14. |
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