基于改进p-有效点法的多风电场共享储能联合参与一次调频的容量优化

石俊逸, 贾燕冰, 韩肖清, 刘佳婕, 郭强, 孙亮

太阳能学报 ›› 2024, Vol. 45 ›› Issue (8) : 503-512.

PDF(1212 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1212 KB)
太阳能学报 ›› 2024, Vol. 45 ›› Issue (8) : 503-512. DOI: 10.19912/j.0254-0096.tynxb.2023-0542

基于改进p-有效点法的多风电场共享储能联合参与一次调频的容量优化

  • 石俊逸1,2, 贾燕冰1,2, 韩肖清1,2, 刘佳婕1,2, 郭强3, 孙亮3
作者信息 +

CAPACITY OPTIMIZATION OF MULTI-WIND FARM SHARING ENERGY STORAGE JOINT PARTICIPATION IN PRIMARY FREQUENCY REGULATION BASED ON IMPROVED p-EFFECTIVE POINT METHOD

  • Shi Junyi1,2, Jia Yanbing1,2, Han Xiaoqing1,2, Liu Jiajie1,2, Guo Qiang3, Sun Liang3
Author information +
文章历史 +

摘要

以大规模多风电场接入电力系统的一次调频备用容量为研究对象,首先通过引入风电出力预测误差的概率分布描述系统的不确定性因素,考虑风储一次调频备用总成本最小为目标;然后建立基于机会约束规划的多风电场联合共享储能参与一次调频的容量优化模型;最后提出基于快速傅里叶变换快速求解联合变量概率分布的改进p-有效点法通过数学解析将机会约束规划从形式上转化为确定性规划,再通过Yalmip调用Cplex实现模型的快速求解。算例结果表明,所提模型和方法可有效提高风储调频效果和收益,且具有更高的求解效率。

Abstract

The primary frequency regulation reserve capacity of large-scale multi-wind farms connected to the power system is taken as the research object. Firstly, the uncertainty factors of the system are described by introducing the probability distribution of wind power output prediction error, and the minimum total cost of primary frequency regulation reserve of wind power and energy storage is considered as the goal. Then, a capacity optimization model of multi-wind farms joint sharing energy storage participating in primary frequency regulation based on chance-constrained programming is established. Finally, an improved p-effective point method based on a fast Fourier transform to quickly solve the probability distribution of joint variables is proposed to transform the chance-constrained programming into deterministic programming through mathematical analysis. Then Cplex is called by Yalmip to realize the fast solution of the model. The results of the example show that the proposed model and method can effectively improve the effect and benefit of wind-storage frequency regulation, and have higher solution efficiency.

关键词

风电场 / 调频 / 储能 / 机会约束规划 / 快速傅里叶变换 / p-有效点法

Key words

wind farm / frequency modulation / energy storage / chance-constrained programming / fast Fourier transform / p-effective point method

引用本文

导出引用
石俊逸, 贾燕冰, 韩肖清, 刘佳婕, 郭强, 孙亮. 基于改进p-有效点法的多风电场共享储能联合参与一次调频的容量优化[J]. 太阳能学报. 2024, 45(8): 503-512 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0542
Shi Junyi, Jia Yanbing, Han Xiaoqing, Liu Jiajie, Guo Qiang, Sun Liang. CAPACITY OPTIMIZATION OF MULTI-WIND FARM SHARING ENERGY STORAGE JOINT PARTICIPATION IN PRIMARY FREQUENCY REGULATION BASED ON IMPROVED p-EFFECTIVE POINT METHOD[J]. Acta Energiae Solaris Sinica. 2024, 45(8): 503-512 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0542
中图分类号: TM614   

参考文献

[1] 张程铭, 柳璐, 程浩忠, 等. 考虑频率安全的电力系统规划与运行优化研究综述与展望[J]. 电网技术, 2022, 46(1): 250-264.
ZHANG C M, LIU L, CHENG H Z, et al.Review and prospects of planning and operation optimization for electrical power systems considering frequency security[J]. Power system technology, 2022, 46(1): 250-264.
[2] DL/T1870—2018, 电力系统网源协调技术规范[S].
DL/T1870—2018, Technical specification for power grid and source coordination[S].
[3] GB/T 40594—2021, 电力系统网源协调技术导则[S].
GB/T 40594—2021, Technical guide for power grid and source coordination[S].
[4] GB/T 40595—2021, 并网电源一次调频技术规定及试验导则[S].
GB/T 40595—2021, Guide for technology and test on primary frequency control of grid-connected power resource[S].
[5] 彭海涛, 何山, 袁至, 等. 基于改进转子转速和桨距角协调控制的变速风电机组一次调频策略[J]. 电力自动化设备, 2023, 43(9): 87-94.
PENG H T, HE S, YUAN Z, et al.Primary frequency regulation strategy for variable-speed wind turbines based on improved coordinated control of rotor speed and pitch angle[J]. Electric power automation equipment, 2023, 43(9): 87-94.
[6] 颜湘武, 孙雪薇, 崔森, 等. 基于转子动能与超级电容器储能的双馈风电机组惯量和一次调频改进控制策略[J]. 电工技术学报, 2021, 36(增刊1): 179-190.
YAN X Y, SUN X W, CUI S, et al.Improved control strategy for inertia and primary frequency regulation of doubly fed induction generator based on rotor kinetic energy and supercapacitor energy storage[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 179-190.
[7] 马德智, 栗文义, 温彩凤, 等. 基于双馈发电机组调频参与度的风/储协调一次调频控制策略[J]. 电网技术, 2023, 47(3): 968-977.
MA D Z, LI W Y, WEN C F, et al.Wind/storage coordinated primary frequency regulation control strategy based on participation level of DFIG units[J]. Power system technology, 2023, 47(3): 968-977.
[8] 刘洪波, 彭晓宇, 张崇, 等. 风电参与电力系统调频控制策略综述[J]. 电力自动化设备, 2021, 41(11): 81-92.
LIU H B, PENG X Y, ZHANG C, et al.Overview of wind power participating in frequency regulation control strategy for power system[J]. Electric power automation equipment, 2021, 41(11): 81-92.
[9] CHEN C Q, LI X R, LIU X L, et al.Reliability improvement of wind power frequency modulation based on look-ahead control strategy and stage of charge optimization of energy storage[J]. International journal of energy research, 2022, 46(4): 4739-4753.
[10] 冀肖彤, 柳丹, 江克证, 等. 储能型风电场一次调频容量优化与风电功率协调分配[J]. 电力自动化设备, 2023, 43(7): 58-65.
JI X T, LIU D, JIANG K Z, et al.Primary frequency regulation capacity optimization and wind power coordinated allocation of energy storage-based wind farm[J]. Electric power automation equipment, 2023, 43(7): 58-65.
[11] 马昱欣, 胡泽春, 刁锐. 新能源场站共享储能提供调频服务的日前优化策略[J]. 电网技术, 2022, 46(10): 3857-3868.
MA Y X, HU Z C, DIAO R.Day-ahead optimization strategy for shared energy storage of renewable energy power stations to provide frequency regulation service[J]. Power system technology, 2022, 46(10): 3857-3868.
[12] 朱瑛, 秦立宽, 颜全椿, 等. 考虑频率响应过程的风储联合调频策略及储能系统优化配置方法[J]. 电力自动化设备, 2021, 41(10): 28-35.
ZHU Y, QIN L K, YAN Q C, et al.Wind-storage combined frequency regulation strategy and optimal configuration method of energy storage system considering process of frequency response[J]. Electric power automation equipment, 2021, 41(10): 28-35.
[13] 黎静华, 谢育天, 曾鸿宇, 等. 不确定优化调度研究综述及其在新型电力系统中的应用探讨[J]. 高电压技术, 2022, 48(9): 3447-3464.
LI J H, XIE Y T, ZENG H Y, et al.Research review of uncertain optimal scheduling and its application in new-type power systems[J]. High voltage engineering, 2022, 48(9): 3447-3464.
[14] 苗福丰, 唐西胜, 齐智平. 储能参与风电一次调频的容量优化[J]. 电工电能新技术, 2016, 35(4): 23-29, 42.
MIAO F F, TANG X S, QI Z P.Capacity optimization of energy storage participating to wind plant primary frequency regulation[J]. Advanced technology of electrical engineering and energy, 2016, 35(4): 23-29, 42.
[15] 赵晶晶, 徐传琳, 吕雪, 等. 微电网一次调频备用容量与储能优化配置方法[J]. 中国电机工程学报, 2017, 37(15): 4324-4332, 4572.
ZHAO J J, XU C L, LYU X, et al.Optimization of micro-grid primary frequency regulation reserve capacity and energy storage system[J]. Proceedings of the CSEE, 2017, 37(15): 4324-4332, 4572.
[16] 刘颖明, 王瑛玮, 王晓东, 等. 基于蚁狮算法的风电集群储能容量配置优化方法[J]. 太阳能学报, 2021, 42(1): 431-437.
LIU Y M, WANG Y W, WANG X D, et al.Optimization of storage capacity allocation in wind farm cluster based on ant lion optimization algorithm[J]. Acta energiae solaris sinica, 2021, 42(1): 431-437.
[17] 李志伟, 赵书强, 李东旭, 等. 基于改进ε-约束与采样确定性转化的电力系统日前调度机会约束模型快速求解技术[J]. 中国电机工程学报, 2018, 38(16): 4679-4691, 4973.
LI Z W, ZHAO S Q, LI D X, et al.Fast solving of day-ahead power system scheduling chance-constrained model based on improved ε-constrained and deterministic transform by sampling[J]. Proceedings of the CSEE, 2018, 38(16): 4679-4691, 4973.
[18] 黎静华, 文劲宇, 程时杰, 等. 基于p-有效点理论的含大规模风电电力系统最小储能功率配置方法[J]. 中国电机工程学报, 2013, 33(13): 45-52.
LI J H, WEN J Y, CHENG S J, et al.Method of minimum energy storage power allocation for electric power systems with large-scale wind power based on p-efficient point theory[J]. Proceedings of the CSEE, 2013, 33(13): 45-52.
[19] LI J H, LIN L C, XU Y F, et al.Probability efficient point method to solve joint chance-constrained unit commitment for multi-area power systems with renewable energy[J]. IEEE transactions on power systems,2023, 38(3): 2120-2133.
[20] 刘燕华, 李伟花, 刘冲, 等.短期风电功率预测误差的混合偏态分布模型[J]. 中国电机工程学报, 2015, 35(10): 2375-2382.
LIU Y H, LI W H, LIU C, et al.Mixed skew distribution model of short-term wind power prediction error[J]. Proceedings of the CSEE, 2015, 35(10): 2375-2382.
[21] 沃克. 风-储调频系统的控制与容量配置策略研究[D]. 济南: 山东大学, 2020.
WO K.Research on control and capacity allocation strategy of wind-storage frequency modulation system[D]. Jinan: Shandong University, 2020.
[22] WANG Y, ZHAO S Q, ZHOU Z, et al.Risk adjustable day-ahead unit commitment with wind power based on chance constrained goal programming[J]. IEEE transactions on sustainable energy, 2017, 8(2): 530-541.

基金

国家自然科学基金联合基金重点项目(U1910216); 国家自然科学基金青年项目(51807129)

PDF(1212 KB)

Accesses

Citation

Detail

段落导航
相关文章

/