考虑新能源不确定性的风光火储联合系统频率特性分析

张军华; 郭鑫溢; 赵振宇; 陈财福

doi:10.19912/j.0254-0096.tynxb.2024-1414

PDF(1270 KB)

太阳能学报 ›› 2025, Vol. 46 ›› Issue (12) : 437-447. DOI: 10.19912/j.0254-0096.tynxb.2024-1414

考虑新能源不确定性的风光火储联合系统频率特性分析

张军华¹, 郭鑫溢¹, 赵振宇², 陈财福²

作者信息 +

FREQUENCY CHARACTERISTIC ANALYSIS OF WIND SOLAR THERMAL STORAGE COMBINED SYSTEM CONSIDERING UNCERTAINTY OF NEW ENERGY

Zhang Junhua¹, Guo Xinyi¹, Zhao Zhenyu², Chen Caifu²

Author information +

文章历史 +

摘要

为解决传统频率特性分析方法无法准确捕捉新能源参与惯量支撑与一次调频对系统频率特性的影响,提出一种基于风光储多资源调频贡献度的电力系统频率动态模型。该模型通过引入新能源出力的不确定性及储能调节机制,全面描述新能源并网条件下系统频率的暂态和稳态特性;然后建立频率偏差、频率死区、一次调频系数与各机组功率容量之间的解析关系,推导储能机组有功出力不越限的可行性边界,并提出一种容量约束下的参数优化方法以确定最优的储能调频系数,有效提升了频率调控的精度和稳定性;最后,通过仿真验证所提方法在提升系统频率稳定性方面具有显著优势。

Abstract

In order to solve the problem that the traditional frequency characteristic analysis method cannot accurately capture the influence of new energy participation inertia support and primary frequency regulation on the frequency characteristics of the system, this paper proposes a power system frequency dynamic model based on the contribution of wind-solar-storage multi-resource frequency regulation. The model comprehensively describes the transient and steady-state characteristics of the system frequency under the conditions of new energy grid connection by introducing the uncertainty of new energy output and energy storage regulation mechanism. Then, an analytical relationship is established between frequency deviation, frequency dead zone, primary frequency modulation coefficient, and the power capacity of each unit. The feasibility boundary of the active output of the energy storage unit not exceeding the limit is derived, and a parameter optimization method under capacity constraints was proposed to determine the optimal energy storage frequency modulation coefficient, effectively improving the accuracy and stability of frequency regulation. Finally, simulation results verify that the proposed method has significant advantages in improving the frequency stability of the system.

导出引用

张军华, 郭鑫溢, 赵振宇, 陈财福. 考虑新能源不确定性的风光火储联合系统频率特性分析[J]. 太阳能学报. 2025, 46(12): 437-447 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1414

Zhang Junhua, Guo Xinyi, Zhao Zhenyu, Chen Caifu. FREQUENCY CHARACTERISTIC ANALYSIS OF WIND SOLAR THERMAL STORAGE COMBINED SYSTEM CONSIDERING UNCERTAINTY OF NEW ENERGY[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 437-447 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1414

中图分类号： TM712

参考文献

[1] 侯恺, 刘泽宇, 贾宏杰, 等. 含高比例可再生能源的电力系统运行可靠性解析评估方法综述[J]. 高电压技术, 2023, 49(7): 2697-2710.
HOU K, LIU Z Y, JIA H J, et al.Review of analytical methods for operation reliability assessment of power systems with high-penetration renewable energy[J]. High voltage engineering, 2023, 49(7): 2697-2710.
[2] 刘禹彤, 程孟增, 张明理, 等. 基于多重混合博弈的云储能市场优化运行策略[J]. 沈阳工业大学学报, 2024, 46(3): 270-276.
LIU Y T, CHENG M Z, ZHANG M L, et al.Optimal operation strategy for cloud energy storage market based on multiple mixed games[J]. Journal of Shenyang University of Technology, 2024, 46(3): 270-276.
[3] 张晶, 代攀, 吴天京, 等. 新一代智能电网技术标准体系架构设计及需求分析[J]. 电力系统自动化, 2020, 44(9): 12-20.
ZHANG J, DAI P, WU T J, et al.Architecture design and demand analysis of new generation technical standard system for smart grid[J]. Automation of electric power systems, 2020, 44(9): 12-20.
[4] 朱博, 吴水军, 黄柯昊, 等. 水风光互补系统一次调频方案研究[J]. 太阳能学报, 2024, 45(5): 412-421.
ZHU B, WU S J, HUANG K H, et al.Research on primary frequency regulation scheme of water-wind-solar complementary system[J]. Acta energiae solaris sinica, 2024, 45(5): 412-421.
[5] 田年杰, 王宁, 王永刚, 等. 考虑计划执行与新能源消纳的中长期调度优化方法[J]. 沈阳工业大学学报, 2023, 45(2): 133-138.
TIAN N J, WANG N, WANG Y G, et al.Optimization method for medium and long term dispatch schedule considering schedule execution and new energy consumption[J]. Journal of Shenyang University of Technology, 2023, 45(2): 133-138.
[6] 黄锡芳, 朱玲, 李兆伟, 等. 短时功率冲击下受端电网频率特性与对策[J]. 电力系统自动化, 2024, 48(17): 130-140.
HUANG X F, ZHU L, LI Z W, et al.Frequency characteristics and countermeasures of receiving-end power grid under short-term power impact[J]. Automation of electric power systems, 2024, 48(17): 130-140.
[7] 刘翔宇, 李晓明, 朱介北, 等. 新型电力系统的频率响应模型综述及展望[J]. 南方电网技术, 2022, 16(10): 38-47.
LIU X Y, LI X M, ZHU J B, et al.Review and prospect on frequency response models of new power system[J]. Southern power system technology, 2022, 16(10): 38-47.
[8] 盛四清, 宋嘉炜, 吴坤轩, 等.高比例新能源电力系统惯量响应与一次调频功能的匹配关系研究[J/OL]. 现代电力, 2024: 1-9.(2024-07-04). https://link.cnki.net/doi/10.19725/j.cnki.1007-2322.2023.0251.
SHENG S Q, SONG J W, WU K X, et al.Matching relationship of inertia response and primary frequency modulation function for high-proportion new energy power system[J/OL]. Modern electric power, 2024: 1-9.(2024-07-04). https://link.cnki.net/doi/10.19725/j.cnki.1007-2322.2023.0251.
[9] 朱更辉, 陈国振, 韩耀飞. 基于虚拟同步发电机的光伏并网逆变器控制策略[J]. 沈阳工业大学学报, 2017, 39(4): 366-370.
ZHU G H, CHEN G Z, HAN Y F.Control strategy of photovoltaic grid-connected inverter based on virtual synchronous generator[J]. Journal of Shenyang University of Technology, 2017, 39(4): 366-370.
[10] 杨黎, 兰怡希, 林玲, 等. 风储系统中储能虚拟惯量评估与频率支撑技术[J]. 浙江电力, 2024, 43(6): 52-60.
YANG L, LAN Y X, LIN L, et al.A virtual inertia assessment and frequency support technology for wind-storage power generation system[J]. Zhejiang electric power, 2024, 43(6): 52-60.
[11] 李世春, 宋秋爽, 薛臻瑶, 等. 含风电虚拟惯性响应的新能源电力系统惯量估计[J]. 电力工程技术, 2023, 42(2): 84-93.
LI S C, SONG Q S, XUE Z Y, et al.Inertia estimation of new energy power system with virtual inertia response of wind power[J]. Electric power engineering technology, 2023, 42(2): 84-93.
[12] 马燕峰, 李金媛, 王子建, 等. 基于量测数据的新能源电力系统区域等效惯量评估方法[J]. 电工技术学报, 2024, 39(17): 5406-5421.
MA Y F, LI J Y, WANG Z J, et al.Assessment method of regional equivalent inertia of new energy power system based on measured data[J]. Transactions of China Electrotechnical Society, 2024, 39(17): 5406-5421.
[13] 张祥宇, 朱永健, 付媛. 基于系统惯量需求的风储协同快速频率响应技术[J]. 中国电机工程学报, 2023, 43(14): 5415-5429.
ZHANG X Y, ZHU Y J, FU Y.Wind-storage cooperative fast frequency response technology based on system inertia demand[J]. Proceedings of the CSEE, 2023, 43(14): 5415-5429.
[14] MALEKPOUR M, KIYOUMARSI A, GHOLIPOUR M.Analytical system frequency response model with virtual synchronous wind turbines[J]. IET generation, transmission & distribution, 2021, 15(18): 2618-2631.
[15] 李国庆, 刘先超, 辛业春, 等. 含高比例新能源的电力系统频率稳定研究综述[J]. 高电压技术, 2024, 50(3): 1165-1181.
LI G Q, LIU X C, XIN Y C, et al.Research on frequency stability of power system with high penetration renewable energy: a review[J]. High voltage engineering, 2024, 50(3): 1165-1181.
[16] 周年光, 谢欣涛, 马俊杰, 等. 风电场配套储能的自适应虚拟惯性: 阻尼控制[J]. 电力科学与技术学报, 2024, 39(3): 150-158.
ZHOU N G, XIE X T, MA J J, et al.An adaptive virtual inertial damping control for wind farm integrated energy storage system[J]. Journal of electric power science and technology, 2024, 39(3): 150-158.
[17] 彭海涛, 何山, 程静, 等. 考虑虚拟惯性时间常数和频率二次跌落的风电频率综合控制策略[J]. 太阳能学报, 2023, 44(8): 509-517.
PENG H T, HE S, CHENG J, et al.Wind power integrated frequency control strategy considering virtual inertia time constants and frequency secondary drop[J]. Acta energiae solaris sinica, 2023, 44(8): 509-517.
[18] 武鸿鑫, 李爱魁, 董存, 等. 计及调频备用的储能平抑风电功率波动控制策略[J]. 储能科学与技术, 2023, 12(4): 1194-1203.
WU H X, LI A K, DONG C, et al.Control strategy for wind power fluctuation stabilization with energy storage and frequency modulation reserve[J]. Energy storage science and technology, 2023, 12(4): 1194-1203.
[19] DAI J C, TAN Y Y, SHEN X B.Investigation of energy output in mountain wind farm using multiple-units SCADA data[J]. Applied energy, 2019, 239: 225-238.
[20] 金都, 刘广忱, 孙博文, 等. 计及风电场的飞轮储能一次调频控制策略[J]. 储能科学与技术, 2024, 13(6): 1911-1920.
JIN D, LIU G C, SUN B W, et al.Primary frequency modulation control strategy for flywheel energy storage counting and wind farms[J]. Energy storage science and technology, 2024, 13(6): 1911-1920.
[21] 马覃峰, 安甦, 刘明顺, 等. 考虑风光储调频贡献度的新型电力系统频率特性[J]. 南方电网技术, 2024, 18(11): 129-140.
MA Q F, AN S, LIU M S, et al.Frequency characteristics of new power system considering the frequency modulation contribution of wind power-photovoltaic-energy storage[J]. Southern power system technology, 2024, 18(11): 129-140.
[22] 赵熙临, 马艺菡, 付波, 等. 考虑风电不确定性的自适应MPC负荷频率控制方法[J]. 华侨大学学报(自然科学版), 2021, 42(1): 113-120.
ZHAO X L, MA Y H, FU B, et al.Adaptive MPC load frequency control method considering wind power uncertainty[J]. Journal of Huaqiao University (natural science), 2021, 42(1): 113-120.
[23] 刘军福, 张怀鹏, 马耀东, 等. 计及可再生能源不确定性的储能系统优化配置方法研究[J]. 电气自动化, 2024, 46(3): 8-11, 17.
LIU J F, ZHANG H P, MA Y D, et al.Research on optimization configuration method of energy storage system considering uncertainty of renewable energy[J]. Electrical automation, 2024, 46(3): 8-11, 17.
[24] 胡英杰, 李强, 李群. 考虑容量限制的构网型光储系统惯量与一次调频参数优化配置方法[J]. 中国电力, 2024, 57(10): 115-122.
HU Y J, LI Q, LI Q.Co-optimization of inertia and droop control coefficient for grid-forming photovoltaic-storage system considering capacity limits[J]. Electric power, 2024, 57(10): 115-122.
[25] MONTAZERI A, SEDIGHI A, AREF S.Optimal technical and economical operation of microgrids through the implementation of sequential quadratic programming algorithm[C]//2020 10th Smart Grid Conference (SGC). Kashan, Iran, 2020: 1-6.