考虑涉网一次调频考核要求面向风储联合系统收益优化的储能容量配置
Optimal
Allocation of Energy Storage for Profit Optimization in Wind-storage Systems
Considering Primary Frequency Regulation Examinations
丁杨*,唐培全,张文奎,王福晶,王俊杰
DING Yang*,TANG Peiquan,ZHANG Wenkui,WANG Fujing,WANG Junjie
1.华能山东发电有限公司滨州公司,山东滨州256800
2.华能山东发电有限公司,山东济南250014
摘要(Abstract):
针对风电场储能配置的经济优化问题,考虑风储联合系统涉网标准中的一次调频考核与补偿机制,提出计及涉网考核要求的风储联合系统收益最大化的储能配置双层优化模型。应用典型周内的风电功率数据,上层基于长时间尺度(日前)风电并网分时电价,以电价驱动下储能套利最大为目标,给出储能最佳荷电状态(state of charge,SOC)计划;下层基于上层模型确定的SOC计划,针对短时间尺度(日内)风电功率波动特性,考虑涉网要求下的一次调频补偿与考核机制,建立风电场储能动作收益最大化模型,优化储能充放电策略。采用遗传算法生成储能配置容量种群,调用构建的双层优化模型,进行种群的选择-交叉-变异迭代,综合考虑不同类型储能特性,确定风储联合系统净收益最大下的储能配置容量。算例分析表明,针对不同年利用小时数的应用场景,风电场通过配置锂离子电池储能系统开展一次调频辅助服务具有良好的收益性,所提出的风电场储能容量优化配置方法可有效提升风储联合系统的经济效益。The economic optimization problem of energy storage
allocation for wind farms is addressed by considering the primary frequency
regulation assessment and compensation mechanism within the grid-connected
standards for wind-storage hybrid systems.A bi-level
optimization model for maximizing the profits of the wind-storage hybrid system,which
considers the grid-connected assessment requirements,is
proposed.Using typical weekly wind power data,the
upper-level model,based on a long-term time scale,aims
to maximize energy storage arbitrage driven by time-of-use electricity prices
and determines the optimal State of Charge(SOC)plan.The lower-level model,based
on the SOC plan determined by the upper-level model,
targets the short-term wind power fluctuation characteristics and considers the
primary frequency regulation compensation and assessment mechanism to establish
a model for maximizing the profits from energy storage actions in the wind farm.The genetic algorithm is used to generate a population
of energy storage capacity configurations,and the constructed
bi-level optimization model is called to perform selection,crossover,and
mutation iterations on the population.By
comprehensively considering the characteristics of different types of energy
storage,the energy storage capacity
configuration that maximizes the net profit of the wind-storage hybrid system
is determined. The case analysis shows that for the application scenarios of
different annual utilization hours,the wind farm has good
profitability by configuring the lithium-ion battery energy storage system to
carry out a frequency modulation auxiliary service.The
proposed method of optimal allocation of wind farm energy storage capacity can
effectively improve the economic benefits of the combined wind storage system.
关键词(KeyWords):风储联合系统;涉网考核;储能配置;一次调频;收益优化
combined
wind storage system;grid compliance
assessment;energy storage allocation;primary
frequency regulation;revenue optimization
基金项目(Foundation): 华能集团总部科技项目“风电场发电潜力评估与调控灵活性提升研究”(HNKJ21-HF161)
Huaneng Group Headquarters Science and Technology
Project "Research on Wind Farm Power Generation Potential Evaluation and
Regulation Flexibility Improvement"(HNKJ21-HF161)
作者(Author): 丁杨*,唐培全,张文奎,王福晶,王俊杰
DING Yang*,TANG
Peiquan,ZHANG Wenkui,WANG Fujing,WANG Junjie
DOI:
10.20097/j.cnki.issn1007-9904.2025.02.005
收稿日期(Received): 2024-06-28; 修回日期(Revised): 2024-10-11
参考文献(References):
[1]国家能源局.国家能源局发布2023年全国电力工业统计数据[EB/OL].(2024-01-26)[2024-05-17].https://www.nea.gov.cn/2024-01/26/c_1310762246.htm.
[2]周涛,向永建,杜可可,等.风机与储能参与电网调频协调控制技术综述[J].浙江电力,2024,43(7):45-55.
ZHOU Tao,XIANG Yongjian,DU Keke,et al.An overview of a
coordinated control technique for wind turbines and energy storage
participating grid frequency regulation[J].Zhejiang Electric
Power,2024,43(7):45-55.
[3]林恒先,侯凯元,陈磊,等.高比例风电电力系统考虑频率安全约束的机组组合[J].电网技术,2021,45(1):1-13.
LIN Hengxian,HOU Kaiyuan,CHEN
Lei,et al.Unit commitment of
power system with high proportion of wind power considering frequency safety
constraints[J].Power System Technology,2021,45(1):1-13.
[4]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 Yinbiao,ZHANG Zhigang,GUO
Jianbo,et al.Study on key factors
and solution of renewable energy accommodation[J].Proceedings of the
CSEE,2017,37(1):1-9.
[5]崔杨,安宁,付小标,等.面向高比例新能源电力系统调峰需求的储能容量配置方法综述[J].东北电力大学学报,2023,43(1):1-8.
CUI Yang,AN Ning,FU Xiaobiao,et al.Overview of energy
storage capacity allocation methods for high-proportion new energy power system
peak shaving demand[J].Journal of Northeast Electric Power
University,2023,43(1):1-8.
[6]郝晓强,刘文宇.电池储能系统支撑电力系统频率调控策略研究[J].东北电力大学学报,2023,43(5):38-42.
HAO Xiaoqiang,LIU Wenyu.Research
on frequency regulation strategy of battery energy storage system supporting
power system[J].Journal of Northeast Electric Power
University,2023,43(5):38-42.
[7]张晴,李欣然,杨明,等.净效益最大的平抑风电功率波动的混合储能容量配置方法[J].电工技术学报,2016,31(14):40-48.
ZHANG Qing,LI Xinran,YANG Ming,et al.Capacity determination
of hybrid energy storage system for smoothing wind power fluctuations with
maximum net benefit[J].Transactions of China Electrotechnical
Society,2016,31(14):40-48.
[8]毛志宇,李培强,马德鑫,等.基于风功率波动平抑的复合储能两次功率分配容量配置方法研究[J].电网技术,2023,47(10):4111-4123.
MAO Zhiyu,LI Peiqiang,MA Dexin,et al.Double power
allocation of capacity configuration of compound energy storage based on wind
power smoothing[J].Power System Technology,2023,47(10):4111-4123.
[9]陈彪,王玮,高嵩,等.计及灵活经济环保运行的火电-飞轮储能系统容量配置与调频参数协同优化[J].动力工程学报,2024,44(3):376-384.
CHEN Biao,WANG Wei,GAO Song,et al.Co-optimization of
capacity allocation and frequency control parameters for thermal power-flywheel
energy storage system considering flexible,economical
and environment friendly operation[J].Journal of Chinese Society of Power
Engineering,2024,44(3):376-384.
[10]李鲁阳,陈龙翔,陈磊,等.用于新能源一次调频的储能经济配置研究[J/OL].中国电力:1-12.[2024-06-01].https://kns.cnki.net/kcms2/article/abstract?v=rs ECNt
SP7ILBBWD7Gm0rvu3SZJx REWfq Hbhq
FKB-DAb Tjlhg8v4Pjw R6s6tj5F0MP7Xa FL0 kn p-Elsi
Spu Uu I3KTkma4ag Lx
S5Fqcntj A7Yq7ok Par5p2HDG0Uj Y8G l-VRd Sc4Afcbm7mo Pb NZV5Xj1H-sf SVi Kq Xk XHqi
D4ro Jx7ERmy KU0d XYb15C8u GVnl ZAm
Kre YZ-rk1Fs O5X6N_7ZPw YQRCLjo
HYIt Pqv Avc=&uniplatform=NZKPT&language=CHS.
LI Luyang,CHEN Longxiang,Chen
Lei,et al.Research on
economic configuration of energy storage for assisting new energy in primary
frequency regulation[J/OL].Electric Power:1-12.[2024-06-01].https://kns.cnki.net/kcms2/article/abstract?v=rs ECNt
SP7ILBBWD7Gm0rvu3SZJx REWfq Hbhq
FKB-DAb Tjlhg8v4Pjw R6s6tj5F0MP7Xa FL0knp-Elsi Spu Uu I3KTkma4ag Lx S5Fqc ntj A7Yq7ok Par5p2HDG0Uj Y8Gl-VRd Sc4Afcbm7mo Pb NZV5Xj1H-sf SVi Kq Xk XHqi
D4ro Jx7ERmy KU0d XYb15C8u GVnl ZAm
Kre YZ-rk1Fs O5X6N_7ZPw YQRCLjo
HYIt Pqv Avc=&uniplatform=NZKPT&language=CHS.
[11]国家能源局华北监管局.华北能源监管局关于征求《华北区域电力并网运行管理实施细则》《华北区域电力辅助服务管理实施细则》(征求意见稿)意见的通知[EB/OL].(2022-07-01)[2024-06-01].https://hbj.nea.gov.cn/xxgk/fdzdgknr/scxxgk/202311/t20231105_195986.html.
[12]国家能源局山东监管办公室.关于印发《山东省电力并网运行管理实施细则》、《山东省电力辅助服务管理实施细则》的通知[EB/OL].(2023-07-11)[2024-06-01].https://sdb.nea.gov.cn/dtyw/tzgg/202309/t20230919_110474.html.
[13]国家能源局山东监管办公室.山东能源监管办关于《山东电力辅助服务市场运营规则(试行)(2021年修订版)(征求意见稿)》公开征求意见的公告[EB/OL].(2021-09-03)[2024-06-01].https://sdb.nea.gov.cn/dtyw/tzgg/202309/t20230919_110459.html.
[14]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 Tingting,XUE Wendong.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.
[15]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/OL].中国电机工程学报:1-12.[2024-06-01].https://kns.cnki.net/kcms2/article/abstract?v=rs ECNt
SP7IIV89WSF4Fx Tfl Us Cn JEOWQFApj EFOq02U1m XS0ap Qme
Jb35Pq Udj WIK1j GFj Qavii Q0k Lj H_P6OHBob GBmy Hob9Ozy ONENs Gtmnbjaa_py
J0Gaykn Ggn Uw P6ZApu
VDX1NQa17v5Dhmp D4ZGxpb W4s UPQd FRT4Vuefub VHSv1q
R1FMO9Ya BZ8t N&unipl atform=NZKPT&language=CHS.
HONG Feng,JIA Xinyi,LIANG Lu,et al.Hierarchical capacity
optimization configuration of hybrid energy storage for wind farm frequency
support[J/OL].Proceedings of the CSEE:1-12.[2024-06-01].https://kns.cnki.net/kcms2/article/abstract?v=rs ECNt
SP7IIV89WSF4Fx Tfl Us Cn JEOWQFApj EFOq02U1m XS0ap Qme
Jb35Pq Udj WIK1j GFj Qavii Q0k Lj H_P6OHBob GBmy Hob9Ozy ONENs Gtmnbjaa_py
J0Gaykn Ggn Uw P6ZApu
VDX1NQa17v5Dhmp D4ZGxpb W4s UPQd FRT4Vuefub VHSv1q
R1FMO9Ya BZ8t N&unipl atform=NZKPT&language=CHS.
[16]艾瑞咨询.中国储能行业研究报[EB/OL].(2023-07-24)[2024-06-03].https://runwise.oss-accelerate.aliyuncs.com/.
[17]北极星储能网.储能电池[EB/OL].(2023-07-04)[2024-06-02].https://chuneng.bjx.com.cn/cndc/.
[18]中关村储能产业技术联盟.双碳背景下发电侧储能综合价值评估及政策研究[EB/OL].(2023-08-01)[2024-06-12].http://www.nrdc.cn/Public/uploads/2023-08-01/64c8b6183b406.pdf.
[19]李建林,马会萌,惠东.储能技术融合分布式可再生能源的现状及发展趋势[J].电工技术学报,2016,31(14):1-10.
LI Jianlin,MA Huimeng,HUI Dong.Present development condition and trends of energy
storage technology in the integration of distributed renewable
energy[J].Transactions of China Electrotechnical
Society,2016,31(14):1-10.
[20]山东电力交易中心.信息披露[EB/OL].(2023-07-04)[2024-06-01].https://pmos.sd.sgcc.com.cn/.
[21]ELIA Group.Open Data[EB/OL].(2023-07-04)[2024-06-01].https://opendata.elia.be/explore/dataset/ods057/analyze.
[22]ELIA Group.Wind power generation[EB/OL].(2023-07-04)[2024-06-04].https://www.elia.be/en/grid-data/powergeneration/wind-power-generation.