Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (2): 477-485.doi: 10.19799/j.cnki.2095-4239.2022.0439
• Energy Storage System and Engineering • Previous Articles Next Articles
Haidong CHEN1(), Fei MENG1, Qing WANG1, Feng HOU2, Yi WANG3, Zhihua ZHANG4
Received:
2022-08-08
Revised:
2022-09-30
Online:
2023-02-05
Published:
2023-02-24
Contact:
Haidong CHEN
E-mail:2022@163.com
CLC Number:
Haidong CHEN, Fei MENG, Qing WANG, Feng HOU, Yi WANG, Zhihua ZHANG. Influence of installed capacity of energy storage system and renewable energy power generation on power system performance[J]. Energy Storage Science and Technology, 2023, 12(2): 477-485.
1 | 孙翠清. 储能技术在新能源电力系统的应用研究[J]. 电子世界, 2022(1): 27-28. |
SUN C Q. Research on application of energy storage technology in new energy power system[J]. Electronics World, 2022(1): 27-28. | |
2 | 国家发展和改革委员会能源研究所可再生能源发展中心. 国际可再生能源发展报告—2019[M]. 北京: 中国环境出版集团, 2019. |
National Development and Reform Commission Energy Research Institute Renewable Energy Development Center. International renewable energy development report[M]. Beijing: China Environment Publishing Group, 2019. | |
3 | 中国科学院创新发展研究中心, 中国先进能源技术预见研究组. 中国先进能源2035技术预见[M]. 北京: 科学出版社, 2020. |
Innovation and Development Research Center, Chinese Academy of Sciences, China Advanced Energy Technology Foresight Research Group. China advanced energy 2035 technology foresight[M]. Beijing: Science Press, 2020. | |
4 | 张晋华, 朱悦榕, 李旭强, 等. 考虑风电不确定性的含海上风电场电力系统优化调度策略研究[J]. 分布式能源, 2021, 6(5): 33-43. |
ZHANG J H, ZHU Y R, LI X Q, et al. Optimization scheduling strategy of offshore wind farm power system considering wind power uncertainty[J]. Distributed Energy, 2021, 6(5): 33-43. | |
5 | 贺强, 晁海亮, 闫明, 等. 考虑风光不确定性的电力系统概率潮流计算[J]. 电网与清洁能源, 2021, 37(6): 113-119, 126. |
HE Q, CHAO H L, YAN M, et al. Probabilistic power flow calculation of the power system considering wind power and photovoltaic uncertainties[J]. Power System and Clean Energy, 2021, 37(6): 113-119, 126. | |
6 | 潘晓杰, 张文朝, 徐友平, 等. 考虑多源负荷不确定性的电力系统安稳风险优化[J]. 可再生能源, 2022, 40(3): 396-401. |
PAN X J, ZHANG W C, XU Y P, et al. The stability risk optimization for power system considering multi-source load uncertainty[J]. Renewable Energy Resources, 2022, 40(3): 396-401. | |
7 | 李峰, 高效海, 郑鹏飞, 等. 基于高斯过程回归与不确定性耦合关系的电力系统规划典型场景提取技术[J]. 电力科学与技术学报, 2022, 37(1): 64-73. |
LI F, GAO X H, ZHENG P F, et al. Extraction of typical scenarios for power system planning based on Gaussian process regression and uncertainty coupling relationship[J]. Journal of Electric Power Science and Technology, 2022, 37(1): 64-73. | |
8 | 崔杨, 周慧娟, 仲悟之, 等. 考虑源荷两侧不确定性的含风电电力系统低碳调度[J]. 电力自动化设备, 2020, 40(11): 85-93. |
CUI Y, ZHOU H J, ZHONG W Z, et al. Low-carbon scheduling of power system with wind power considering uncertainty of both source and load sides[J]. Electric Power Automation Equipment, 2020, 40(11): 85-93. | |
9 | 宋晓芳, 周海强, 薛峰, 等. 计及源荷不确定性及频率安全的电力系统区间优化调度方法[J]. 电力自动化设备, 2022, 42(7): 212-220. |
SONG X F, ZHOU H Q, XUE F, et al. Interval optimal dispatching method of power system considering source-load uncertainty and frequency security[J]. Electric Power Automation Equipment, 2022, 42(7): 212-220. | |
10 | 陈海东, 王鑫, 王勇, 等. 考虑源荷两侧不确定性及其相互影响的配电网低电压综合治理规划[J]. 电力电容器与无功补偿, 2021, 42(6): 173-183. |
CHEN H D, WANG X, WANG Y, et al. Comprehensive control plan for voltage drop of distribution network considering uncertainties on both sides of source and load and their mutual influence[J]. Power Capacitor & Reactive Power Compensation, 2021, 42(6): 173-183. | |
11 | 佘东, 严正, 王晗, 等. 基于含时序项代理模型的电力系统时域仿真不确定性分析[J]. 电力系统自动化, 2022, 46(20): 119-128. |
SHE D, YAN Z, WANG H, et al. Uncertainty analysis of time-domain simulation for power system based on surrogate model containing time series terms[J]. Automation of Electric Power Systems, 2022, 46(20): 119-128. | |
12 | 陟晶, 张高航, 邵冲, 等. 含大规模风电及光热电站的电力系统优化调度方法[J]. 电力工程技术, 2021, 40(1): 79-85. |
ZHI J, ZHANG G H, SHAO C, et al. Optimal dispatching method for power system with large scale wind power and concentrated solar power plant[J]. Electric Power Engineering Technology, 2021, 40(1): 79-85. | |
13 | 郭琛良, 张德虎, 许昌, 等. 配合风电消纳的综合储能系统经济容量优化研究[J]. 可再生能源, 2022, 40(5): 660-666. |
GUO C L, ZHANG D H, XU C, et al. Study on economic capacity optimization of comprehensive energy storage system combined with wind power consumption[J]. Renewable Energy Resources, 2022, 40(5): 660-666. | |
14 | 陈晓光, 杨秀媛, 卜思齐, 等. 考虑经济功能性的风电场储能系统容量配置[J]. 发电技术, 2022, 43(2): 341-352. |
CHEN X G, YANG X Y, BU S Q, et al. Capacity allocation of wind farm energy storage system considering economic function[J]. Power Generation Technology, 2022, 43(2): 341-352. | |
15 | 余全全, 谢丽蓉. 风电并网多目标混合储能系统优化配置[J]. 现代电子技术, 2021, 44(22): 111-115. |
YU Q Q, XIE L R. Optimal configuration of multi-objective hybrid energy storage system for wind power grid-connection[J]. Modern Electronics Technique, 2021, 44(22): 111-115. | |
16 | 杨晓雷, 丁磊明, 李逸鸿, 等. 计及风电不确定性的混合储能系统优化配置研究[J]. 电力需求侧管理, 2021, 23(6): 69-74. |
YANG X L, DING L M, LI Y H, et al. Study on optimal allocation of hybrid energy storage system considering wind power uncertainty[J]. Power Demand Side Management, 2021, 23(6): 69-74. | |
17 | 杨文强, 常彬. 计及多影响因素的发电侧混合储能系统容量配置方法及配置工具[J]. 储能科学与技术, 2022, 11(10): 3246-3256. |
YANG W Q, CHANG B. Research on the configuration method & tool for the hybrid energy storage system on the power generation side[J]. Energy Storage Science and Technology, 2022, 11(10): 3246-3256. | |
18 | 张昊. 提高配电网新能源消纳比例的分布式储能系统优化配置方法[J]. 电气应用, 2022, 41(3): 56-63. |
ZHANG H. Optimized configuration method of distributed energy storage for improving renewable energy accomodation in distribution network[J]. Electrotechnical Application, 2022, 41(3): 56-63. | |
19 | 张雪菲, 孙阔, 张章, 等. 考虑源荷不确定性与碳减排的复合储能系统优化配置模型[J]. 电测与仪表, 2022, 59(5): 42-49. |
ZHANG X F, SUN K, ZHANG Z, et al. An optimal configuration model of composite energy storage system considering source-load uncertainty and carbon emission reduction[J]. Electrical Measurement & Instrumentation, 2022, 59(5): 42-49. | |
20 | 唐雨薇. 分布式化学储能系统数据分析模型构建研究[J]. 储能科学与技术, 2022, 11(2): 737-738. |
TANG Y W. Research on data analysis model construction of distributed chemical energy storage system[J]. Energy Storage Science and Technology, 2022, 11(2): 737-738. | |
21 | 丁志勇. 风电场短期功率预测方法研究[D]. 广州: 华南理工大学, 2012. |
DING Z Y. Study of short-term prediction of wind power[D]. Guangzhou: South China University of Technology, 2012. | |
22 | 刘昊, 柳亦兵, 辛卫东, 等. 基于运行数据的风力发电机组功率特性分析[J]. 电网与清洁能源, 2009, 25(7): 53-56. |
LIU H, LIU Y B, XIN W D, et al. Wind turbine power performance based on the operation data[J]. Power System and Clean Energy, 2009, 25(7): 53-56. | |
23 | 王航臣, 曹宇露, 赵迪. 一种基于蒙特卡洛模拟的航空公司机票超售数量确定方法[J]. 民用飞机设计与研究, 2021(2): 130-136. |
WANG H C, CAO Y L, ZHAO D. A method to determine the overbooking quantity of airline tickets based on Monte Carlo simulation[J]. Civil Aircraft Design & Research, 2021(2): 130-136. | |
24 | 荆涛, 田锡天. 基于蒙特卡洛-自适应差分进化算法的飞机容差分配多目标优化方法[J]. 航空学报, 2022, 43(3): 577-588. |
JING T, TIAN X T. Multi-objective optimization method for aircraft tolerance allocation based on Monte Carlo-adaptive differential evolution algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(3): 577-588. | |
25 | 殷勤, 缪继东, 张晓明, 等. 基于马尔科夫链蒙特卡洛的台区可靠性评估方法[J]. 电工电气, 2021(5): 7-11. |
YIN Q, MIAO J D, ZHANG X M, et al. A method for evaluating the reliability of transformer area based on Markov chain Monte Carlo[J]. Electrotechnics Electric, 2021(5): 7-11. | |
26 | 曹瑞, 刘燕斌, 陆宇平. 基于马尔可夫蒙特卡洛法的系统辨识方法研究及应用[J]. 宇航学报, 2022, 43(4): 423-433. |
CAO R, LIU Y B, LU Y P. Research and application of system identification method based on Markov chain Monte Carlo method[J]. Journal of Astronautics, 2022, 43(4): 423-433. | |
27 | 刘晓静. 基于蒙特卡洛方法的可靠性灵敏度分析[J]. 机械管理开发, 2021, 36(11): 53-55. |
LIU X J. Reliability sensitivity analysis based on Monte Carlo method[J]. Mechanical Management and Development, 2021, 36(11): 53-55. | |
28 | 席英杰, 张崇兴, 董明, 等. 基于蒙特卡洛模拟的声电联合局部放电定位阵列设计及快速定位方法研究[J/OL]. 电网技术. [2022-12-28]. http://kns.cnki.net/kcms/detail/11.2410.tm.20220701.1328.003.html. |
[1] | Xin WU, Wenju SHANG, Zhiyong MA, Wei TENG, Shuang ZHANG, Hairong LUO. Coordinated control method for pumped and flywheel hybrid energy storage system [J]. Energy Storage Science and Technology, 2023, 12(2): 468-476. |
[2] | Meiqian HOU, Qifan NIU, Jie XING, Yinghao SHAN. Optimal configuration of energy storage system in active distribution network with the consideration of reliability [J]. Energy Storage Science and Technology, 2023, 12(2): 504-514. |
[3] | Huamin ZHANG. Development, cost analysis considering various durations, and advancement of vanadium flow batteries [J]. Energy Storage Science and Technology, 2022, 11(9): 2772-2780. |
[4] | Yulei LI, Wei LIU, Binqi DONG, Dingguo XIA. Green hydrogen ammonia synthesis in China under double carbon target:Research on development basis and route [J]. Energy Storage Science and Technology, 2022, 11(9): 2891-2899. |
[5] | Congjia ZHANG, Minda SHI, Chen XU, Zhenyu HUANG, Song CI. Intrinsic safety mechanism and case analysis of energy storage systems based on dynamically reconfigurable battery network [J]. Energy Storage Science and Technology, 2022, 11(8): 2442-2451. |
[6] | Jianmin HAN, Feiyu XUE, Shuangyin LIANG, Tianshu QIAO. Hybrid energy storage system assisted frequency modulation simulation of the coal-fired unit under fuzzy control optimization [J]. Energy Storage Science and Technology, 2022, 11(7): 2188-2196. |
[7] | Yuhan GUO, Dan YU, Peng YANG, Ziji WANG, Jintao WANG. Optimal capacity allocation method of a distributed energy storage system based on greedy algorithm [J]. Energy Storage Science and Technology, 2022, 11(7): 2295-2304. |
[8] | JIANG Han, XU Xinzhi, LIU Zhe, ZHANG Rui, HU Xu. Energy transition and hydrogen development prospects in Saudi Arabia [J]. Energy Storage Science and Technology, 2022, 11(7): 2354-2365. |
[9] | Tian WU, Mincheng LIN, Hao HAI, Haiyu SUN, Zhaoyin WEN, Fuyuan MA. Development of high-power Ni-MH battery system for primary frequency modulation [J]. Energy Storage Science and Technology, 2022, 11(7): 2213-2221. |
[10] | Feng TIAN, Zhijiang CHENG, Handi YANG, Tianxiang YANG. Fault-tolerant control strategy for modular multi-level hybrid converter battery energy storage system [J]. Energy Storage Science and Technology, 2022, 11(5): 1583-1591. |
[11] | Jianlin LI, Zedong ZHANG, Yaxin LI, Yi ZHOU, Yunli YUE. Research on key technologies of mobile energy storage system under the target of carbon neutrality [J]. Energy Storage Science and Technology, 2022, 11(5): 1523-1536. |
[12] | Hao LI, Chang LIU, Bo MIAO, Jing ZHANG. Coordinative optimal dispatch of multi-park integrated energy system considering complementary cooling, heating and power and energy storage systems [J]. Energy Storage Science and Technology, 2022, 11(5): 1482-1491. |
[13] | Fulin FAN, Junhui LI, CAMPOS-GAONA David, Gangui YAN. Energy storage-friendly frequency response service markets: The UK perspective [J]. Energy Storage Science and Technology, 2022, 11(4): 1278-1288. |
[14] | Bin GUO, Jie XING, Fei YAO, Xiaomin JING. Optimal configuration of user-side hybrid energy storage based on bi-level programming model [J]. Energy Storage Science and Technology, 2022, 11(2): 615-622. |
[15] | Di LIU, Tiantian ZHANG, Yuwei PENG, Xiaomei TANG, Dan WANG, Chengxiong MAO. Shaft modeling and oscillation analysis for expansion process of compressed air energy storage system [J]. Energy Storage Science and Technology, 2022, 11(2): 563-572. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||