EN考虑新能源消纳的配电网中分布式光伏及储能联合优化配置
DPV and HESS Joint Optimal Configuration in Distribution Network Considering Renewable Energy Consumption
- 现代电力 2026年43卷第1期 页码：181-192
- 作者机构：
1. 国网冀北电力有限公司张家口供电公司,河北省,张家口市,075000
2. 北京华辕杰成科技有限公司, 北京市 朝阳区,100021
- 作者简介：
[ "段晓磊(1986)，女，学士，工程师，研究方向为新型电力系统，E-mail：19860829dxl@163.com" ]
[ "王宇飞(1991)，男，学士，工程师，研究方向为配电网规划与建设，E-mail：15133330416@139.com" ]
[ "魏云峰(1998)，男，学士，助理工程师，研究方向为配电网建设，E-mail：1367006976@qq.com" ]
[ "李艳琼(1990)，女，硕士研究生，工程师，研究方向为电网规划，E-mail：435401846@qq.com" ]
[ "崔欣(1999)，男，硕士研究生，通信作者，研究方向为电力系统应急抢修与故障恢复，E-mail：2251867953@qq.com" ]
- 基金信息：国网冀北张家口供电公司2023年群众性创新项目(520107230002)。
DOI：10.19725/j.cnki.1007-2322.2023.0441
中图分类号： 1-
纸质出版：2026
- 稿件说明：
移动端阅览
段晓磊, 王宇飞, 魏云峰, 等. 考虑新能源消纳的配电网中分布式光伏及储能联合优化配置[J]. 现代电力, 2026,43(1):181-192.
段晓磊, 王宇飞, 魏云峰, et al. DPV and HESS Joint Optimal Configuration in Distribution Network Considering Renewable Energy Consumption[J]. 2026, 43(1): 181-192.
段晓磊, 王宇飞, 魏云峰, 等. 考虑新能源消纳的配电网中分布式光伏及储能联合优化配置[J]. 现代电力, 2026,43(1):181-192. DOI： 10.19725/j.cnki.1007-2322.2023.0441.
段晓磊, 王宇飞, 魏云峰, et al. DPV and HESS Joint Optimal Configuration in Distribution Network Considering Renewable Energy Consumption[J]. 2026, 43(1): 181-192. DOI： 10.19725/j.cnki.1007-2322.2023.0441.
摘要
高比例新能源发展愿景给电力系统规划和运行带来诸多难题，亟需从配套储能等灵活性资源方面协同考虑。因此，提出一种考虑新能源消纳的配电网中分布式光伏及混合储能的联合优化配置方法，以满足提高新能源消纳、降低储能配置成本与提升系统灵活性等要求。首先，基于分布式光伏（distributed photovoltaic
DPV）和负荷的概率分布模型，利用拉丁超立方采样法（Latin hypercube sampling
LHS）均匀采样，随后基于Cholesky分解法提取DPV出力和负荷需求的时间相关性信息，构造分布式光伏接入后的典型系统运行场景。其次，考虑混合储能各部分在功率灵活匹配与能量时空转移方面的差异化特性，采用完备均值方法对储能管理系统所采集到的待转移DPV功率曲线按波动频率进行分解，再利用皮尔逊积矩相关系数对分解后各分量进行重构，得到高、中、低频分量，给出混合储能系统中各设备的功率分配策略。然后，以安装分布式光伏容量最大和综合投资成本最小为上层优化目标，以在各典型场景下系统运行成本最小、新能源消纳最大为下层优化目标建立双层优化模型，并采用粒子群和数学规划算法对模型上下层进行求解，得到分布式光伏和混合储能系统的最优配置容量以及各场景下混合储能的功率分配优化运行结果。仿真结果验证了所提策略和方法的有效性。
Abstract
The vision of a high proportion of renewable energy development has posed numerous challenges to the planning and operation of power systems
necessitating the simultaneous construction of flexible resources such as ESS. Therefore
a joint optimal allocation method for DPV and HESS in the distribution network is proposed
taking into account the renewable energy consumption. This method is designed to meet the requirements of improving renewable energy consumption
reducing energy storage allocation cost
and improving system flexibility. Firstly
we utilize the LHS method based on the probability distribution of DPV and load to make sure sample uniformly. Subsequently
the time correlation information between DPV output and load demand is extracted based on the Cholesky decomposition method
and typical system operation scenarios after distributed photovoltaic access are constructed. Secondly
considering the characteristics such as flexible power matching and energy spatiotemporal transfer of each part in HESS
the DPV power curve to be transferred is decomposed according to the fluctuation frequency by the EMS using the method of ELMD. After that
PPMCC is employed to reconstruct the decomposed components to obtain high
medium and low frequency components. Subsequently
a power allocation strategy of each device in HESS is formulated. A two-layer optimization model is thus established with the maximum installed distributed photovoltaic capacity and the minimum investment cost as the upper optimization objectives
while the minimum system operating cost and the maximum renewable energy consumption in each typical scenario as the lower optimization objectives. The PSO and mathematical programming algorithms are utilized to solve the upper and lower layers of this model
enabling us to obtain the optimal configuration capacity of DPV and HESS as well as the optimal operation results of power allocation of HESS in each scenario. The simulation results verify the effectiveness of this proposed strategy and method.
关键词
Keywords
references
XIE Xiaorong, HE Jingbo, MAO Hangyin, et al . New issues and classification of power system stability with high shares of renewables and power electronics[J ] . Proceedings of the CSEE, 2021, 41(2): 461−475(in Chinese).
谢小荣, 贺静波, 毛航银, 等. “双高”电力系统稳定性的新问题及分类探讨[J]. 中国电机工程学报, 2021, 41(2): 461−475.
河北省发展和改革委员会. 关于做好2022年风电、光伏发电项目申报工作的通知(冀发改能源〔2022〕1408号)[Z].
ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, et al . Key technologies and developing challenges of power system with high proportion of renewable energy[J ] . Automation of Electric Power Systems, 2021, 45(9): 171−191(in Chinese).
卓振宇, 张宁, 谢小荣, 等. 高比例可再生能源电力系统关键技术及发展挑战[J]. 电力系统自动化, 2021, 45(9): 171−191.
FU Yang, TIAN Can, LI Zhenkun, et al . Temporal and spatial forecasting of distributed PV considering spatial capacity saturation[J ] . Power System Technology, 2017, 41(12): 3917−3925(in Chinese).
符杨, 田灿, 李振坤, 等. 考虑空间容量饱和的分布式光伏时空分布预测[J]. 电网技术, 2017, 41(12): 3917−3925.
WU Luyang, XIN Jieqing, WANG Chengmin. Installed capacity forecasting for distributed photovoltaic considering herd mentality of users[J]. Automation of Electric Power Systems, 2022, 46(14): 83−92(in Chinese).
吴璐阳, 辛洁晴, 王承民. 计入用户从众心理的分布式光伏装机容量预测[J]. 电力系统自动化, 2022, 46(14): 83−92.
LIANG Zhifeng, XIA Junrong, SUN Mengmeng, et al . Data driven assessment of distributed photovoltaic hosting capacity in distribution network[J ] . Power System Technology, 2020, 44(7): 2430−2438(in Chinese).
梁志峰, 夏俊荣, 孙檬檬, 等. 数据驱动的配电网分布式光伏承载力评估技术研究[J]. 电网技术, 2020, 44(7): 2430−2438.
SUN Min, YU Yuan, ZENG Wei, et al . Parallel optimal allocation of distributed PV in distribution network considering active management[J ] . Electric Power Automation Equipment, 2019, 39(3): 169−174+181(in Chinese).
孙旻, 余愿, 曾伟, 等. 考虑主动管理的配电网分布式光伏并行优化配置[J]. 电力自动化设备, 2019, 39(3): 169−174+181.
WEI Xinrong, WU Junyong, DING Ran, et al . Distributed PV hosting capacity calculation of distribution network based on PV barycenter theory[J ] . Power System Technology, 2023, 47(11): 4533-4544(in Chinese).
魏欣荣 , 吴俊勇 , 丁然 , 等. 基于光伏重心理论的配电网分布式光伏最大准入容量计算[J]. 电网技术, 2023, 47(11): 4533-4544.
ZHANG Si, YANG Xiaolei, QUE Lingyan, et al . The impact of high-proportion photovoltaic power generation on the power balance of Zhejiang power grid and its coun termeasures[J ] . Zhejiang Electric Power, 2022, 41(11): 9−16(in Chinese).
张思, 杨晓雷, 阙凌燕, 等. 高比例光伏发电对浙江电网电力平衡的影响及应对策略[J]. 浙江电力, 2022, 41(11): 9−16.
SHENG Wanxing, WU Ming, JI Yu, et al . Key techniques and engineering practice of distributed renewable generation clusters integration[J ] . Proceedings of the CSEE, 2019, 39(8): 2175−2186(in Chinese).
盛万兴, 吴鸣, 季宇, 等. 分布式可再生能源发电集群并网消纳关键技术及工程实践[J]. 中国电机工程学报, 2019, 39(8): 2175−2186.
SHI Xuewei, SHI Xuefang, DONG Wenqi, et al . Research on energy storage configuration method based on wind and solar volatility[C ] //2020 10th International Conference on Power and Energy Systems (ICPES). Chengdu, China, 2020: 464-468.
LOPEZ-LORENTE J, LIU X A, BEST R J, et al . Techno-economic assessment of grid-level battery energy storage supporting distributed photovoltaic power[C ] //IEEE Access: 146256-146280, 2021.
CAO Xinhui, CHE Yong, SI Zheng, et al . Integrated planning of optimal sizing and siting of energy storage plants across wide area[J ] . Electric Power, 2022, 55(7): 110−120(in Chinese).
曹新慧, 车勇, 司政, 等. 广域储能电站定容-选址一体规划[J]. 中国电力, 2022, 55(7): 110−120.
PAN J, LEI J, CHEN A, et al . Optimal proportion of wind, PV, hydrogen and storage capacity based on time sequence simulation[C ] //2022 5th International Conference on Power and Energy Applications (ICPEA). Guangzhou, China, 2022: 657-662.
LI Qi, ZHAO Shudan, PU Yuchen, et al . Capacity optimization of hybrid energy storage microgrid considering electricity-hydrogen coupling[J ] . Transactions of China Electrotechnical Society, 2021, 36(3): 486−495(in Chinese).
李奇, 赵淑丹, 蒲雨辰, 等. 考虑电氢耦合的混合储能微电网容量配置优化[J]. 电工技术学报, 2021, 36(3): 486−495.
JING Tao, CHEN Geng, WANG Zihao, et al . Research overview on the integrated system of wind-solar hybrid power generation coupled with hydrogen-based energy storage[J ] . Electric Power, 2022, 55(1): 75−83(in Chinese).
荆涛, 陈庚, 王子豪, 等. 风光互补发电耦合氢储能系统研究综述[J]. 中国电力, 2022, 55(1): 75−83.
XIONG Yufeng, CHEN Laijun, ZHENG Tianwen, et al . Optimal configuration of hydrogen energy storage in low-carbon park integrate d energy system considering electricity-heat-gas coupling characteristics[J ] . Electric Power Automation Equipment, 2021, 41(9): 31−38(in Chinese).
熊宇峰, 陈来军, 郑天文, 等. 考虑电热气耦合特性的低碳园区综合能源系统氢储能优化配置[J]. 电力自动化设备, 2021, 41(9): 31−38.
YUAN Tiejiang, LI Guojun, ZHANG Zengzeng, et al . Optimal modeling on equipment investment planning of wind power-hydrogen energy storage and coal chemical pluripotent coupling system[J ] . Transactions of China Electrotechnical Society, 2016, 31(14): 21−30(in Chinese).
袁铁江, 李国军, 张增强, 等. 风电—氢储能与煤化工多能耦合系统设备投资规划优化建模[J]. 电工技术学报, 2016, 31(14): 21−30.
QIAN Weiting, ZHAO Changfei, WAN Can, et al . Probabilistic forecasting based stochastic optimal dispatch and control method of hybrid energy storage for smoothing wind power fluctuations[J ] . Automation of Electric Power Systems, 2021, 45(18): 18−27(in Chinese).
钱韦廷, 赵长飞, 万灿, 等. 基于概率预测的混合储能平抑风电波动随机优化调控方法[J]. 电力系统自动化, 2021, 45(18): 18−27.
MA W, GUO J, ZHANG J, et al . A new method and comparative study of HESS power distribution for smoothing PV output fluctuations[C ] //2023 8th Asia Conference on Power and Electrical Engineering (ACPEE). Tianj in, China, 2023: 711-715.
LI Xiangjun, MA Huimeng, JIANG Qian, et al . Review of energy storage configuration technology on renewable energy side[J ] . Electric Power, 2022, 55(1): 13−25(in Chinese).
李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述[J]. 中国电力, 2022, 55(1): 13−25.
ZHANG Shenxi, LI Ke, CHENG Haozhong, et al . Optimal siting and sizing of intermittent distributed generator considering correlations[J ] . Automation of Electric Power Systems, 2015, 39(8): 53−58(in Chinese).
张沈习, 李珂, 程浩忠, 等. 考虑相关性的间歇性分布式电源选址定容规划[J]. 电力系统自动化, 2015, 39(8): 53−58.
ZHANG Shenxi, CHENG Haozhong, LI Ke. Multistage planning for wind turbine generator considering correlations[J]. Power System Technology, 2014, 38(1): 53−59(in Chinese).
张沈习, 程浩忠, 李珂. 考虑相关性的风力发电机组多阶段选址定容规划[J]. 电网技术, 2014, 38(1): 53−59.
LIU Yuchen, YAN Qunmin, GUO Yang, et al . Optimal configuration of electricity-hydrogen hybrid energy storage on photovoltaic generation side based on ensemble local mean decomposition and correlation analysis[J ] . Electrical Engineering, 2022, 23(11): 21−29(in Chinese).
刘语忱, 闫群民, 郭阳, 等. 基于完备局部均值分解和相关分析的光伏发电侧电–氢混合储能优化配置[J]. 电气技术, 2022, 23(11): 21−29.
QI Xiaoguang, YAO Fuxing, ZHU Tiantong, et al . Capacity optimization configuration of hybrid energy storage in power system considering large-scale wind power integration[J ] . Electric Power Automation Equipment, 2021, 41(10): 11−19(in Chinese).
齐晓光, 姚福星, 朱天曈, 等. 考虑大规模风电接入的电力系统混合储能容量优化配置[J]. 电力自动化设备, 2021, 41(10): 11−19.
0
浏览量
5
下载量
0
CSCD
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
AI问答- 技术支持由北京北大方正电子有限公司提供 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies