基于变权值自适应滤波的风光储协调优化控制

doi:10.3969/j.issn.1000－7229.2015.04.006

电力建设 ›› 2015, Vol. 36 ›› Issue (4): 32-37.doi: 10.3969/j.issn.1000－7229.2015.04.006

基于变权值自适应滤波的风光储协调优化控制

李德鑫1，董添1，常学飞1，陈跃燕2，韩晓娟3

1. 国网吉林省电力有限公司电力科学研究院，长春市 130021；2. 中船重工（重庆）海装风电设备有限公司，重庆市 401122； 3. 华北电力大学控制与计算机工程学院，北京市 1022061

出版日期:2015-04-01
作者简介:李德鑫（1985）,男，工学硕士，工程师，主要从事新能源并网技术和大电网仿真方面的研究工作；董添（1986），男，工学硕士，工程师，主要从事调度自动化、智能变电站监控系统调试与运维方面的研究工作；常学飞（1984），男，工学硕士，工程师，主要从事新能源并网检测、电能质量治理方面的研究工作；陈跃燕（1987），女，硕士，研究方向为新能源发电控制技术、储能技术；韩晓娟（1970），女，工学博士，副教授，研究方向为新能源发电控制技术、储能及检测技术。
基金资助:
国家自然科学青年基金（51107126）

Optimal Control of PV-Wind-Storage Hybrid Power System Based on Variable Weight Adaptive Filtering

LI Dexin1, DONG Tian1, CHANG Xuefei1, CHEN Yueyan2, HAN Xiaojuan

. Electric Power Research Institute, State Grid Jilin Electric Power Co., Ltd., Changchun 130021, China；2. CSIC （Chongqing） Haizhuang Wind power Equipment Co., Ltd., Chongqing 401122, China；
3. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Online:2015-04-01
Supported by:
Project Supported by National Natural Science Foundation for Young Scholars of China（51107126）

摘要/Abstract

摘要：

针对平抑风光储联合发电系统输出功率波动问题，提出一种具有变权值自适应滤波的风光储协调优化控制策略。在传统的加权移动滤波算法基础上，分析了储能出力、波动率以及滤波带宽的关系，以储能系统的荷电状态（state of charge，SOC）平衡度指标和并网功率波动率作为约束条件实时调整加权移动滤波算法的权值与滤波带宽。在给定的波动率约束下，实现风光储联合发电系统协调优化控制。算例表明，所提出的变权值自适应滤波算法优于传统的一阶低通滤波风光功率平滑效果，在保证SOC合理水平前提下，有效平抑了风光联合输出功率的波动，降低了储能系统充放电次数，提高了储能系统的使用寿命。

关键词: 波动率约束, 加权移动滤波, 荷电状态（SOC）, 储能成本, 滤波带宽

Abstract:

This paper proposed an optimal control strategy for photovoltaic （PV）-wind-storage coordination based on variable weight adaptive filtering to smooth the fluctuations of the output power in the PV-wind-storage hybrid power system. Based on traditional weighted moving filtering algorithm, the relationship of the output of energy storage system, the fluctuation rates and the filtering bandwidth was analyzed； the balance index of the state of charge （SOC） of energy storage system and the fluctuation rates of the output power connected to the grid were used as constraint conditions to optimize the weight of the weighted moving filtering algorithm and the filtering bandwidth. Under the given constraint of fluctuation rate, the coordination optimal control of hybrid power system including PV, wind power and energy storage system was achieved. The example results show that the smoothing performance of PV-wind power of the proposed variable weight adaptive filtering method is better than that of traditional first-order low-pass filtering method. Under the premise of maintaining a reasonable level of SOC, the fluctuation of PV-wind output power is smoothed significantly, the charging or discharging times of energy storage system are reduced and the service life of energy storage system is improved.

Key words: fluctuation rate constraint, weighted moving filtering, state of charge （SOC）, energy storage cost, filtering bandwidth

中图分类号:

TM 73

李德鑫，董添，常学飞，陈跃燕，韩晓娟. 基于变权值自适应滤波的风光储协调优化控制[J]. 电力建设, 2015, 36(4): 32-37.

LI Dexin, DONG Tian, CHANG Xuefei, CHEN Yueyan, HAN Xiaojuan. Optimal Control of PV-Wind-Storage Hybrid Power System Based on Variable Weight Adaptive Filtering[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(4): 32-37.

参考文献

［1］刘琦.中国新能源发展研究［J］.电网与清洁能源，2010,26（1）:47-51.
Liu Qi. Studies on China’s new energy development［J］. Power System and Clean Energy,2010,26（1）:47-51.
［2］宋洪磊,吴俊勇,冀鲁豫，等.风光互补独立供电系统的多目标优化设计［J］.电工技术学报,2011,26（7）:104-111.
Song Honglei，Wu Junyong，Ji Luyu，et al. Multi-objective optimal sizing of stand-alone hybrid wind/PV system［J］.Transactions of China Electrotechnical Society,26（7）:104-111.
［3］姚勇,朱桂萍,刘秀成. 电池储能系统在改善微电网电能质量中的应用［J］.电工技术学报,2012,27（1）:85-89.
Yao Yong, Zhu Guiping, Liu Xiucheng. Improvement of power quality of micro-grids by battery energy storage system［J］. Transactions of China Electrotechnical Society, 2012,27（1）:85-89.
［4］徐娟,孙大伟.智能电网—大规模风、光电并网瓶颈问题的解决方案［J］.宁夏电力,2012（1）:11-14.
Xu Juan, Sun Dawei. The smart grid-the best of all scheme to solve the bottleneck problems of wind power and photoelectric power generation connected with power network on a large scale［J］. Ningxia Electric Power, 2012（1）:11-14.
［5］王成山,于波,肖峻，等. 平滑可再生能源发电系统输出波动的储能系统容量优化方法［J］.中国电机工程学报,2012,32（16）:1-8.
Wang Chengshan, Yu Bo, Xiao Jun, et al. Sizing of energy storage systems for output smoothing of renewable energy systems［J］. Proceedings of the CSEE,2012,32（16）:1-8.
［6］米增强,苏勋文,杨奇逊,等. 风电场动态等值模型的多机表征方法［J］.电工技术学报,2010,25（5）:162-169.
Mi Zengqiang, Su Xunwen, Yang Qixun, et al. Multi-machine representation method for dynamic equivalent model of wind farms［J］. Transactions of China Electrotechnical Society, 2010,25（5）:162-169.
［7］宇航.利用储能系统平滑风电功率波动的仿真研究［D］.吉林:东北电力大学,2010.
YU Hang. Simulation research on smoothing the wind power fluctuation by using energy storage system［D］. Jilin: Northeast Dianli University,2010.
［8］Li X J, Li Y, Han X J, et al. Application of fuzzy wavelet transform to smooth wind/PV hybrid power system output with battery energy storage system［J］. Energy Procedia, 2011（12）:994-1001.
［9］Li X J,Li N,Jia X C,et al.Fuzzy logic based smoothing control of wind/PV generation output fluctuations with battery energy storage system［C］//The 14th International Conference on Electrical Machines and Systems（ICEMS2011）.Beijing：IEEE，2011: 1-5.
［10］Tesfahunegn S G, Ulleberg , Vie P J S, et al. Optimal shifting of photovoltaic and load fluctuations from fuel cell and electrolyzer to lead acid battery in a photovoltaic/hydrogen standalone power system for improved performance and life time［J］. Journal of Power Sources, 2011:10401-10414.
［11］Teleke S，Baran M E，Bhattacharya S，et al. Optimal control of battery energy storage for wind farm dispatching［J］. IEEE Transaction on Energy Conversion, 2010,25（3）:787-794.
［12］黄羚,蔡涛,陈天锦,等.基于SOC调整的光伏电站储能系统调控策略［J］. 电力系统保护与控制,2013,41（16）:66-70.
Huang Ling, Cai Tao, Chen Tianjin, et al. Control strategy of battery energy storage system for large-scale pv system based on SOC adjustment［J］. Power System Protection and Control,2013,41（16）:66-70.
［13］齐志远,王生铁,田桂珍.风光互补发电系统的协调控制［J］.太阳能学报,2010,31（5）:654-660.
Qi Zhiyuan, Wang Shengtie, Tian Guizhen. Coordination control of wind/pv hybrid system［J］.Acta Energiae Solaris Sinica,2010,31（5）:654-660.
［14］戚永志,刘玉田.风光储联合系统输出功率滚动优化与实时控制［J］.电工技术学报,2014,29（8）:265-273.
Qi Yongzhi, Liu Yutian. Output power rolling optimization and real-time control in wind-photovoltaic-storage hybrid system［J］. Transactions of China Electrotechnical Society, 2014,29（8）:265-273.
［15］陈跃燕，李相俊，韩晓娟,等.基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略［J］.电力建设，2013,34（7）：1-5.
Chen Yueyan, Li Xiangjun, Han Xiaojuan, et al. Control strategy of smoothing wind power output using battery energy storage based on moving average method and wind power volatility rate constraint［J］. Electric Power Construction,2013,34（7）:1-5.
［16］赵圣占,谷阳阳.基于加权移动平均的遥测数据量化误差修正方［J］.仪器仪表用户,2011,18 （4） :94-96.
Zhao Shengzhan, Gu Yangyang. Square quantization error correction based on the weighted moving average of telemetry data［J］. Electronic Instrumentation Customer,2011,18（4）:94-96.
［17］靳文涛，马会萌，谢志佳.电池储能系统平滑风电功率控制策略［J］.电力建设，2012,33（7）：7-11.
Jin Wentao, Ma Huimeng, Xie Zhijia. Windpower smoothing control strategy of battery energy storage system［J］. Electric Power Construction,2012,33（7）:7-11.
［18］杨水丽，惠东，李建林，等.适用于风电场的最佳电池容量选取方法［J］.电力建设，2010,31（9）：1-4.
Yang Shuili, Hui Dong, Li Jianlin, et al. Selection of the optimal battery capacity for wind farm［J］. Electric Power Construction,2010,31（9）:1-4.
［19］丁明,吴建锋,朱承治,等.具备荷电状态调节功能的储能系统实时平滑控制策略［J］. 中国电机工程学报,2013,33（1）:22-29.
Ding Ming, Wu Jianfeng, Zhu Chengzhi, et al. A real-time smoothing control strategy with SOC adjustment function of storage systems［J］. Proceedings of the CSEE,2013,33（1）:22-29.
［20］陈峦,黄琦,陈池.基于目标参数和储能容量约束的风电功率平滑策略［J］.中国电力,2013,46（6）:63-69.
Chen Luan, Huang Qi, Chen Chi.Strategy on wind power smoothing subject to target parameters and energy-storage capacity［J］.Electric power,2013,46（6）:63-69.

[1]	李泓青，周建萍，茅大钧，李欣煜，胡成奕，邓玉君. 混合储能系统二次功率分配及交互控制策略在直流微网中的应用[J]. 电力建设, 2019, 40(5): 13-19.
[2]	宋振浩，陆立民，胥峥，吕志鹏，吴鸣，赵婷. VSG虚拟惯量动态区间控制策略[J]. 电力建设, 2019, 40(2): 45-53.
[3]	曹弘飞，朱新坚. BP神经网络在线优化卡尔曼滤波算法在钒电池SOC估算中的应用[J]. 电力建设, 2018, 39(4): 9-.
[4]	李大勇1，都明亮2，田春光2，韩晓娟3. 基于总体平均经验模态分解的混合储能系统协调优化控制[J]. 电力建设, 2018, 39(4): 83-.
[5]	邵丽华, 章竹耀,张春龙,赵青,黄国平,严飞. 储能电池荷电状态与平抑风电出力波动协调运行策略[J]. 电力建设, 2017, 38(1): 84-.
[6]	杨锡运，曹超，李相俊,任杰,高峰,吴子晗. 基于模糊经验模态分解的电池储能系统平滑风电出力控制策略[J]. 电力建设, 2016, 37(8): 134-.
[7]	陈跃燕，李相俊，韩晓娟，梁廷婷，惠东. 基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略[J]. 电力建设, 2013, 34(7): 1-5.

基于变权值自适应滤波的风光储协调优化控制

Optimal Control of PV-Wind-Storage Hybrid Power System Based on Variable Weight Adaptive Filtering

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价