整县光伏开发背景下配电网储能配置研究

廖剑波,林大增,余维,陈垣玮,陈建聪

分布式能源 ›› 2022, Vol. 7 ›› Issue (3) : 12-21.

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分布式能源 ›› 2022, Vol. 7 ›› Issue (3) : 12-21. DOI: 10.16513/j.2096-2185.DE.2207302
学术研究

整县光伏开发背景下配电网储能配置研究

作者信息 +

Research on Distribution Network Energy Storage System Configuration Under the Background of Photovoltaic Development in the Whole County

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文章历史 +

本文亮点

储能是可再生能源分布式发电规模化并网消纳和配电网发展变革的关键支撑性技术,以整县光伏开发为背景开展配电网储能配置研究。构建了包括电压波动劣化度、光伏就地消纳率等含高渗透率光伏配电网的运行评价指标;提出一种旨在平抑净负荷波动、考虑续航能力的储能实用充放电策略;提出一种含光储的配电网时序潮流计算分析方法,给出其计算流程;以福州闽侯实际配电网为算例,计算光伏开发不同阶段的潮流与运行指标、以剖析负面问题,之后分析了储能不同容量配置方案的运行优化效果及经济性。算例验证了所提运行指标、充放电策略和时序潮流计算方法的正确性和有效性,基于实用化分析给出贴近工程的规划建议,以供整县光伏开发及其配储工作参考借鉴。

HeighLight

Energy storage is the key supporting technology for the large-scale access and consumption of renewable energy distributed generation and the reform of distribution network. This paper studies distribution network energy storage configuration under the background of photovoltaic(PV) development in the whole county. Including voltage fluctuation deterioration degree and PV local consumption rate, the operation evaluation indexes of distribution networks with high penetration PV are constructed. Considering endurance capacity, a practical charging and discharging strategy for energy storage is proposed to restrain the net load fluctuation. A time-series power flow calculation and analysis method for distribution network with PV and energy storage is proposed, and its process is given. Taking the actual distribution network in Minhou county of Fuzhou as an example, the power flow and operation indexes in different PV development stages are calculated to analyze the negative problems, and then the operation optimization effect and economy of different energy storage capacity configuration schemes are analyzed. The calculation example verifies the correctness and effectiveness of the proposed operation indexes, charging and discharging strategy and time-series power flow calculation method. Based on the practical analysis, planning suggestions close to the project are given, which can be used as a reference for the PV development and energy storage configuration.

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导出引用
廖剑波, 林大增, 余维, . 整县光伏开发背景下配电网储能配置研究[J]. 分布式能源. 2022, 7(3): 12-21 https://doi.org/10.16513/j.2096-2185.DE.2207302
Jianbo LIAO, Dazeng LIN, Wei YU, et al. Research on Distribution Network Energy Storage System Configuration Under the Background of Photovoltaic Development in the Whole County[J]. Distributed Energy Resources. 2022, 7(3): 12-21 https://doi.org/10.16513/j.2096-2185.DE.2207302
中图分类号: TK02   

参考文献

[1]
保安葆国琼慧,等. “双碳”目标下“能源三要素”再思考[J]. 中国电机工程学报2022, 42(9): 3117-3125.
XIN Baoan, SHAN Baoguo, LI Qionghui, et al. Rethinking of the “three elements of energy” toward carbon peak and carbon neutrality[J]. Proceedings of the CSEE, 2022, 42(9): 3117-3125.
[2]
建华颂旭,等. 中国实现高比例可再生能源发展路径研究[J]. 中国电机工程学报2015, 35(14): 3699-3705.
BAI Jianhua, XIN Songxu, LIU Jun, et al. Roadmap of realizing the high penetration renewable energy in China[J]. Proceedings of the CSEE, 2015, 35(14): 3699-3705.
[3]
重庆良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化2017, 41(9): 2-11.
KANG Chongqing, YAO Liangzhong. Key scientific issues and theoretical research framework for power system with high proportion of renewable energy[J]. Automation of Electric Power System, 2017, 41(9): 2-11.
[4]
维群. 碳中和目标下的化石能源利用新技术路线开发[J]. 发电技术2021, 42(1): 3-7.
ZHU Weiqun, WANG Qian. Development of new technological routes for fossil energy utilization under the goal of carbon neutral[J]. Power Generation Technology, 2021, 42(1): 3-7.
[5]
婉琼. 碳达峰碳中和的国际经验及启示[J]. 中国工业和信息化2022(6): 38-43.
[6]
中共中央. 习近平主持召开中央财经委员会第九次会议[EB/OL]. [2021-05-17].
[7]
智刚重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报2022, 42(8): 2807-2818.
ZHANG Zhigang, KANG Chongqing. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8): 2807-2818.
[8]
小荣宁嘉,等. 新型电力系统中储能应用功能的综述与展望[J]. 中国电机工程学报:1-11. [2022-04-26].
XIE Xiaolong, MA Ningjia, LIU Wei, et al. Functions of energy storage in renewable energy dominated power systems: review and prospect[J]. Proceedings of the CSEE: 1-11. [2022-04-26].
[9]
昌勇. 整县屋顶分布式光伏开发社会效益与投资收益分析[J]. 冶金管理2021(17): 100-101.
[10]
立飞喜梅,等. 整县屋顶分布式光伏接入影响分析[J]. 农村电气化2022(5): 72-74.
HUANG Lifei, WANG Ximei, XUE Yuan, et al. Analysis of the impact of roof distributed photovoltaic access on the grid[J]. Rural Electrification, 2022(5): 72-74.
[11]
少伯民晓国鹏,等. 基于随机预测误差的分布式光伏配网储能系统容量配置方法[J]. 中国电机工程学报2013, 33(4): 25-33.
LIN Shaobo, HAN Minxiao, ZHAO Guopeng, et al. Capacity allocation of energy storage in distributed photovoltaic power system based on stochastic prediction error[J]. Proceedings of the CSEE, 2013, 33(4): 25-33.
[12]
剑波冰斌小青,等. 考虑配电商参与的主动配电网多层分区调控[J]. 电力自动化设备2021, 41(3): 41-48.
LIAO Jianbo, CHEN Bingbin, DAI Xiaoqing, et al. Multi-tier and partitioned dispatch and control of active distribution network considering participation of distributors [J]. Electric Power Automation Equipment, 2021, 41(3): 41-48.
[13]
洪克. 用于光伏电站的组合级联式电池储能系统的控制研究[D]. 北京:北京交通大学,2015.
AI Hongke. Control strategy of hybrid cascaded power conversion system based on battery energy storage for PV power plant[D]. Beijing: Beijing Jiaotong University, 2015.
[14]
剑波,等. 多主动管理手段相协调的主动配电网无功电压优化[J]. 电力电容器与无功补偿2018, 39(6): 130-137.
LIAO Jianbo, ZHANG Lu, FU Yang, et al. Reactive power and voltage optimization of active distribution network considering the coordination of multiple active management means[J]. Power Capacitor and Reactive Power Compensation, 2018, 39(6): 130-137.
[15]
可欣速良,等. 储能技术发展态势及政策环境分析[J]. 分布式能源2021, 6(6): 45-52.
HE Kexin, MA Suliang, MA Zhuang, et al. Energy storage technology development trend and policy environment analysis[J]. Distributed Energy, 2021, 6(6): 45-52.
[16]
家军. 新能源配套储能的政策建议及商业模式分析[J]. 能源2020(12): 45-47.
[17]
才云. 电力调度系统基于整县分布式光伏接入技术分析[J]. 农村电气化2022(4): 70-73.
LU Caiyun, CHEN Feng, QI Lei. Research on power dispatching system based on distributed photovoltaic access technology[J]. Rural Electrification, 2022(4): 70-73.
[18]
春华金克,等. 基于分类概率机会约束IGDT的配网储能多目标优化配置[J]. 中国电机工程学报2020, 40(9): 2809-2819.
PENG Chunhua, CHEN Lu, ZHANG Jinke, et al. Multi-objective optimal allocation of energy storage in distribution network based on classified probability chance constraint information gap decision theory [J]. Proceedings of the CSEE, 2020, 40(9): 2809-2819.
[19]
龙龙碧桧,等. 主动配电网储能动态配置规划方法[J]. 电力系统保护与控制2020, 48(17): 84-92.
SHANG Longlong, WEI Bihui, WANG Wei, et al. A planning method of dynamic energy storage configuration in an active distribution network [J]. Power System Protection and Control, 2020, 48(17): 84-92.
[20]
LE Jiazhi, GONG Qingwu, GAO D W, et al. Operation risk assessment of active distribution networks considering probabilistic uncertainties of distributed generators-loads and power management of VRB ESSs[J]. IET Renewable Power Generation, 2022, 14(10): 1764-1771.
[21]
CHEN Lijuan, LIU Li, PENG Yan, et al. Distribution network operational risk assessment and early warning considering multi-risk factors[J]. IET Generation, Transmission and Distribution, 2020, 14(16): 3139-3149.
[22]
万兴科研,等. 高渗透率分布式电源按节点关键性接入配电网的运行风险评估[J]. 高电压技术2021, 47(3): 937-945.
ZHANG Wen, SHENG Wanxing, LIU Keyan, et al. Operation risk assessment of high penetration distributed generation connected to distribution network according to node criticality[J]. High Voltage Engineering, 2021, 47(3): 937-945.
[23]
光毅. 基于双碳目标的智慧能源体系构建[J]. 智慧电力2021, 49(5): 1-6.
TONG Guangyi. Construction of smart energy system based on dual carbon goal[J]. Smart Power, 2021, 49(5): 1-6.
[24]
GUO Zixuan, ZHANG Xing, LI Ming, et al. Control and capacity planning for energy storage systems to enhance the stability of renewable generation under weak grids[J]. IET Renewable Power Generation, 2022, 16(4): 761-780.
[25]
XIA Yuanxing, XU Qingshan, QIAN Haiya, et al. Bilevel optimal configuration of generalized energy storage considering power consumption right transaction[J]. International Journal of Electrical Power & Energy Systems, 2021, 128.
[26]
厚鹏晓明,等. 智慧家庭储能系统配置与运行双层优化[J]. 电力大数据2020, 23(11): 55-62.
HU Houpeng, LIN Xiaoming, QIAN Bin, et al. Bi-level optimization of configuration and operation for smart home energy storage system [J]. Power Systems And Big Data, 2020, 23(11): 55-62.
[27]
兰雨. 基于随机生产模拟的多微网储能容量优化配置与运行控制[D]. 北京:北京交通大学,2021.
NIAN Lanyu. Optimal configuration and operation control of multi-microgrid energy storage capacity based on stochastic production simulation [D]. Beijing: Beijing Jiaotong University, 2021.
[28]
云平. 用于削峰填谷的移动式储能容量配置与调度策略研究[D]. 上海:上海电力大学,2021.
ZHENG Yunping. Research on allocation and scheduling strategy of mobile energy storage capacity for peak load shifting [D]. Shanghai: Shanghai University of Electric Power, 2021.

基金

国网福建省电力公司科技项目(5213102000F4)

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