为应对风电场出力波动,保证电力系统稳定运行,兼顾各类储能装置的特性,提出一种基于飞轮-电化学混合储能平抑-调频策略。首先,根据典型日风功率数据,利用完全自适应噪声集合经验模态分解将其分解得到风电功率直接并网分量以及混合储能功率任务;其次,综合考虑储能系统多类型约束,以风储系统的年均整体净收益最大为目标函数,建立一种计及风功率平抑-调频的飞轮-电化学混合储能的容量优化配置模型;最后,通过自适应粒子群算法迭代求解得到混合储能最优容量配置方案。结果表明：相比较混合储能仅平抑,虽然混合储能投资成本有所增加,同时也会产生较高的调频收益,可有效发挥储能平抑-调频的优势,系统的年均整体净收益得到提升,进而证明该文所提策略具有较好的经济性与可行性。
Abstract
In order to deal with the fluctuation of wind farm output, ensure the stable operation of power system, and take into account the characteristics of various energy storage devices, a stabilization-frequency modulation strategy based on flywheel-electrochemical hybrid energy storage is proposed. Firstly, according to the typical daily wind power data, the fully adaptive noise ensemble empirical mode decomposition is used to decompose it to obtain the direct grid-connected component of wind power and the hybrid energy storage power task. Secondly, considering the multi-type constraints of the energy storage system, taking the maximum annual overall net income of the wind storage system as the objective function, a capacity optimization configuration model of flywheel-electrochemical hybrid energy storage considering wind power stabilization and frequency modulation is established. Finally, the optimal capacity configuration scheme of hybrid energy storage is obtained by iterative solution of adaptive particle swarm optimization algorithm. The results show that compared with the traditional hybrid energy storage system that only stabilizes the fluctuations of wind power, although the investment cost of this hybrid energy storage system has increased, it will also generate higher frequency regulation benefits, which can effectively give full play to the advantages of energy storage stabilization-frequency regulation, and the average annual overall net income of the system is improved, which proves that the strategy proposed in this paper has better economy and feasibility.
关键词
混合储能 /
风电场 /
平抑波动 /
调频 /
模态分解 /
容量配置
Key words
hybrid energy storage /
wind farm /
fluctuation smoothing /
frequency regulation /
modal decomposition /
capacity configuration
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 国家能源局. 完善供应体系确保能源安全为高质量发展提供坚强能源保障 [EB/OL].https://www.nea.gov.cn/2023-04/17/c_1310711256.htm.
National Energy Administration.Improve the supply system to ensure energy security and provide strong energy security for high-quality development[EB/OL]. https://www.nea.gov.cn/2023-04/17/c_1310711256.htm.
[2] 国家能源局. 国家能源局公布2024年上半年风电建设和运行情况[EB/OL].https://www.nea.gov.cn/2024-07/31/c_1310783380.
National Energy Administration. National Energy Administration announced the construction and operation of wind power in the first half of2024[EB/OL]. https://www.nea.gov.cn/2024-07/31/c_1310783380.htm.
[3] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[4] 王苏蓬, 张新慧, 吴文浩, 等. 用于风电平抑的混合储能选型和容量优化配置方法[J]. 智慧电力, 2021, 49(9): 16-23.
WANG S P, ZHANG X H, WU W H, et al.Hybrid energy storage selection and capacity optimization configuration method for wind power smoothing[J]. Smart power, 2021, 49(9): 16-23.
[5] RIGO-MARIANI R, SARENI B, ROBOAM X.Integrated optimal design of a smart microgrid with storage[J]. IEEE transactions on smart grid, 2017, 8(4): 1762-1770.
[6] 张宋杰, 秦文萍, 任春光, 等. 双极性直流微电网混合储能系统协调控制策略[J]. 高电压技术, 2018, 44(8): 2761-2768.
ZHANG S J, QIN W P, REN C G, et al.Control strategy for hybrid energy storage system in bipolar-type DC micro-grid[J]. High voltage engineering, 2018, 44(8): 2761-2768.
[7] 赵靖英, 乔珩埔, 姚帅亮, 等. 考虑储能SOC自恢复的风电波动平抑混合储能容量配置策略[J]. 电工技术学报, 2024, 39(16): 5206-5219.
ZHAO J Y, QIAO H P, YAO S L, et al.Hybrid energy storage system capacity configuration strategy for stabilizing wind power fluctuation considering SOC self-recovery[J]. Transactions of China Electrotechnical Society, 2024, 39(16): 5206-5219.
[8] 雷勇, 林晓冬. 超导磁储能-蓄电池混合储能系统在平抑风电场功率波动中的应用[J]. 高电压技术, 2019, 45(3): 983-992.
LEI Y, LIN X D.Application of hybrid energy storage system based on SMES and BESS in smoothing the power fluctuations of wind farms[J]. High voltage engineering, 2019, 45(3): 983-992.
[9] 洪烽, 贾欣怡, 梁璐, 等. 面向风电场频率支撑的混合储能层次化容量优化配置[J]. 中国电机工程学报, 2024, 44(14): 5596-5607.
HONG F, JIA X Y, LIANG L, et al.Hierarchical capacity optimization configuration of hybrid energy storage for wind farm frequency support[J]. Proceedings of the CSEE, 2024, 44(14): 5596-5607.
[10] 王力, 胡佳成, 曾祥君, 等. 基于混合储能的交直流混联微电网功率分级协调控制策略[J]. 电工技术学报, 2024, 39(8): 2311-2324.
WANG L, HU J C, ZENG X J, et al.Hierarchical coordinated power control strategy for AC-DC hybrid microgrid with hybrid energy storage[J]. Transactions of China Electrotechnical Society, 2024, 39(8): 2311-2324.
[11] 田博文, 张志禹, 杨梦飞. 基于多次滑动均值滤波的混合储能功率分配与定容研究[J]. 电工技术学报, 2024, 39(5): 1548-1564.
TIAN B W, ZHANG Z Y, YANG M F.Research on hybrid energy storage power allocation and capacity determination based on multiple moving average filtering[J]. Transactions of China Electrotechnical Society, 2024, 39(5): 1548-1564.
[12] 宋杰, 耿林霄, 桑永福, 等. 基于EMD分解的混合储能辅助火电机组一次调频容量规划[J]. 储能科学与技术, 2023, 12(2): 496-503.
SONG J, GENG L X, SANG Y F, et al.Study on primary frequency modulation capacity planning of thermal power unit assisted by hybrid energy storage based on EMD decomposition[J]. Energy storage science and technology, 2023, 12(2): 496-503.
[13] 徐雷. 混合储能辅助风电平滑功率和一次调频的控制策略研究[D]. 北京: 华北电力大学, 2023.
XU L.Research on control strategy of smoothing power and primary frequency modulation of hybrid energy storage assisted wind power[D]. Beijing: North China Electric Power University, 2023.
[14] 袁满. “飞轮+锂电” 混合储能系统辅助新能源电站一次调频控制方法研究[D]. 济南: 山东大学, 2023.
YUAN M.Research on primary frequency modulation control method of Flywheel+Lithium battery hybrid energy storage system auxiliary new energy power station[D]. Ji’nan: Shandong University, 2023.
[15] 梁继业, 袁至, 王维庆, 等. 基于储能系统多重约束的一次调频策略[J]. 高电压技术, 2024,50(6):2478-2489.
LIANG J Y, YUAN Z, WANG W Q, et al.Primary frequency control strategy based on multiple constraint of energy storage system[J]. High voltage engineering, 2024, 50(6): 2478-2489.
[16] 蔡婷婷, 薛文东. 基于VMD的电力系统一次调频混合储能系统容量优化研究[J]. 东北电力大学学报, 2024, 44(1): 61-71.
CAI T T, XUE W D.Optimal configuration of hybrid energy storage system for primary frequency regulation based on VMD[J]. Journal of Northeast Electric Power University, 2024, 44(1): 61-71.
[17] GB/T 19963.1—2021, 风电场接入电力系统技术规定第1部分: 陆上风电[S].
GB/T 19963.1—2021, Technical specification for connecting wind farm to power system: part 1: on shore wind power[S].
[18] 袁铁江, 郭建华, 杨紫娟, 等. 平抑风电波动的电-氢混合储能容量优化配置[J]. 中国电机工程学报, 2024, 44(4): 1397-1406.
YUAN T J, GUO J H, YANG Z J, et al.Optimal allocation of power electric-hydrogen hybrid energy storage of stabilizing wind power fluctuation[J]. Proceedings of the CSEE, 2024, 44(4): 1397-1406.
[19] 魏震波, 姚怡欣, 张雯雯, 等. 基于完备集合经验模态分解的含抽蓄微电网混合储能容量优化配置[J]. 储能科学与技术, 2023, 12(11): 3414-3424.
WEI Z B, YAO Y X, ZHANG W W, et al.Capacity-based optimal configuration of microgrid hybrid energy-storage system with pumped storage based on CEEMDAN[J]. Energy storage science and technology, 2023, 12(11): 3414-3424.
[20] 刘秋华, 王明康, 杨圣城. 基于全寿命周期内经济收益最大化的退役电池储能容量配置方法研究[J]. 太阳能学报, 2024, 45(7): 143-152.
LIU Q H, WANG M K, YANG S C.Research on configuration method of energy storage capacity for retired batteries based on maximizing economic benefits throughout life cycle[J]. Acta energiae solaris sinica, 2024, 45(7): 143-152.
[21] 赵文会, 李阮. 考虑碳交易收益的风电项目价值评估[J]. 生态经济, 2018, 34(8): 19-24.
ZHAO W H, LI R.Research on value evaluation of wind power project considering carbon transaction revenue[J]. Ecological economy, 2018, 34(8): 19-24.
[22] 匡生, 王蓓蓓. 考虑储能寿命和参与调频服务的风储联合运行优化策略[J]. 发电技术, 2020, 41(1): 73-78.
KUANG S, WANG B B.Optimization strategy of wind storage joint operation considering energy storage life and participating in frequency modulation service[J]. Power generation technology, 2020, 41(1): 73-78.
[23] 夏向阳, 吕崇耿, 吴小忠, 等. 基于混合模型的储能用锂离子电池剩余寿命预测方法研究[J]. 太阳能学报, 2024, 45(10): 726-735.
XIA X Y, LYU C G, WU X Z, et al.Research on remaining life prediction method of lithium-ion battery for energy storage based on hybrid model[J]. Acta energiae solaris sinica, 2024, 45(10): 726-735.
[24] 杨帆, 王维庆, 王海云, 等. 计及储能放电折损的风储一次调频配置优化方法研究[J]. 太阳能学报, 2022, 43(10): 416-423.
YANG F, WANG W Q, WANG H Y, et al.Research on optimization method of primary frequency regulation configuration of wind-storage system considering discharge loss of energy storage[J]. Acta energiae solaris sinica, 2022, 43(10): 416-423.
基金
国网上海市科技项目（52091123000B）
PDF(1322 KB)
