计及分布式光伏承载力的配电网侧独立储能充放电策略

doi:10.11930/j.issn.1004-9649.202305016

中国电力 ›› 2024, Vol. 57 ›› Issue (4): 111-117.DOI: 10.11930/j.issn.1004-9649.202305016

计及分布式光伏承载力的配电网侧独立储能充放电策略

张宇¹(), 魏新迟¹(), 冯凯辉²(), 时珊珊¹(), 孟子涵²(), 梁媛³()

1. 国网上海市电力公司，上海　200122
2. 国网能源研究院有限公司，北京　102209
3. 中国可再生能源学会，北京　100190

收稿日期:2023-05-05 出版日期:2024-04-28 发布日期:2024-04-26
作者简介:张宇（1970—），男，高级工程师（教授级），从事电力储能应用技术研究，E-mail：p3chang@qq.com
魏新迟（1989—），女，博士，高级工程师，从事储能优化运行与性能评价技术研究，E-mail：newlate@126.com.com
冯凯辉（1986—），男，通信作者，硕士，高级工程师，从事新能源、分布式电源、农村能源研究，E-mail：fengkhui@163.com
基金资助:
国网上海市电力公司科技项目（碳达峰场景下上海电网储能发展路径及专项规划研究，52094022000X）；上海市“科技创新行动计划”科技支撑碳达峰碳中和专项项目（新型低碳智慧化分布式储能系统关键技术研究与应用，22dz1206800）。

Charging and Discharging Strategies of Independent Energy Storage for Distribution Grid Side Considering Distributed PV Carrying Capacity

Yu ZHANG¹(), Xinchi WEI¹(), Kaihui FENG²(), Shanshan SHI¹(), Zihan MENG²(), Yuan LIANG³()

1. State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China
2. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
3. China Renewable Energy Society, Beijing 100190, China

Received:2023-05-05 Online:2024-04-28 Published:2024-04-26
Supported by:
This work is supported by Science and Technology Project of State Grid Shanghai Municipal Electric Power Company (Research on the Development Path and Special Planning of Energy Storage in Shanghai Power Grid under the Scenario of Peak Carbon Dioxide Emissions, No.52094022000X), Science and Technology Project of Science and Technology Commission of Shanghai Municipality (Research and Application of Key Technologies of New Low-Carbon Intelligent Distributed Energy Storage System, No.22dz1206800).

摘要/Abstract

摘要：

在“双碳”目标、新型电力系统加快推进下，中国分布式光伏呈现快速发展态势，在高比例分布式光伏接入地区易发生电网电压升高越限和反向潮流设备过载等问题，影响分布式光伏接入配电网承载力。充分考虑配电网侧独立储能调节作用，研究提出了提高分布式光伏接入电网承载力水平的独立储能优化配置及充放电策略。考虑了基于时序潮流和两步式迭代的配电网侧独立储能应用综合成本效益，以系统成本最小为原则，科学合理确定独立储能配置容量和充放电控制策略。选取某村低压配电网为案例，通过配电系统经济分析和优化软件（DEAP），仿真分析了所提独立储能充放电控制策略的有效性。

关键词: 分布式光伏承载力, 配电网侧独立储能, 充放电策略, 综合成本效益

Abstract:

In the context of carbon peaking and carbon neutrality goals and new power system construction, China’s distributed photovoltaic (PV) development accelerates. Areas with a high proportion of distributed PV access are prone to grid voltage rise over the limit, reverse tide equipment overload, and other problems, affecting the distribution grid carrying capacity with the distributed PV access. This paper fully considers the regulating role of independent energy storage on the distribution grid side and proposes an optimal configuration of independent energy storage and charging/discharging strategy for improving the carrying capacity of the grid with distributed PV access. Specifically, the comprehensive cost effectiveness of the independent energy storage application of the distribution grid side based on the time-series tide and two-step iteration is considered, and the independent energy storage configuration capacity and charging/discharging control strategy are scientifically and reasonably determined based on the principle of the minimum system cost. The low-voltage distribution grid of a village is selected as a case study, and the effectiveness of the independent energy storage charging and discharging control strategy proposed in this paper is simulated and analyzed by the Distribution System Analysis and Optimization Platform (DSAP).

Key words: distributed photovoltaic carrying capacity, independent energy storage of distribution grid side, charging and discharging strategy, comprehensive cost effectiveness

张宇, 魏新迟, 冯凯辉, 时珊珊, 孟子涵, 梁媛. 计及分布式光伏承载力的配电网侧独立储能充放电策略[J]. 中国电力, 2024, 57(4): 111-117.

Yu ZHANG, Xinchi WEI, Kaihui FENG, Shanshan SHI, Zihan MENG, Yuan LIANG. Charging and Discharging Strategies of Independent Energy Storage for Distribution Grid Side Considering Distributed PV Carrying Capacity[J]. Electric Power, 2024, 57(4): 111-117.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305016

https://www.electricpower.com.cn/CN/Y2024/V57/I4/111

图/表 9

图 1 两步式迭代求解流程

Fig.1 Two-step iterative solution process

图 2 储能的控制策略

Fig.2 Control strategies for energy storage

图 3 典型案例电网结构示意

Fig.3 Grid structure in typical case

图 4 居民负荷典型周特性曲线（3月1日—7日）

Fig.4 Typical weekly characteristic curve of residential load (March 1–March 7)

图 5 动力负荷典型周特性曲线（3月1日—7日）

Fig.5 Typical weekly characteristic curve of power load (March 1–March 7)

图 6 分布式光伏发电出力曲线（3月1日—7日）

Fig.6 Distributed PV power output curve (March 1–March 7)

图 7 DEAP软件界面

Fig.7 DEAP software interface

图 8 削减后的分布式光伏出力和负荷功率曲线

Fig.8 Distributed PV output and load power curves after time reduction

表 1 不同储能配置和控制策略下的计算结果

Table 1 Calculation results for different energy storage configurations and control strategies

配置储能比例/ %	储能策略	储能投资成本 (年化)/元	储能运维成本/ 元	限电损失/ 元	损耗损失/ 元	综合成本/ 元	增量度电成本/ (元·(kW·h)^–1)
0	无	0	0	4465	6491	10956	基准
5	固定策略	1399	108	3797	5162	10466	–0.005
5	智能策略	1399	108	3217	5153.6	9877	–0.011
10	固定策略	2797	216	3300	5148.4	11462	0.005
10	智能策略	2797	216	2423	5131.6	10568	–0.004
15	固定策略	4196	324	2933	5152.4	12605	0.017
15	智能策略	4196	324	1819	5116	11455	0.005
20	固定策略	5595	432	2704	5174.4	13905	0.030
20	智能策略	5595	432	1662	5108.4	12797	0.019
30	固定策略	8392	648	2604	5277.2	16921	0.060
30	智能策略	8392	648	1384	5101.2	15525	0.046

参考文献 21

1	张珍珍, 吕清泉, 张健美. “双碳” 目标下分布式光伏发电技术的研究进展及展望[J]. 太阳能, 2023, (1): 17- 21.
	ZHANG Zhenzhen, LYU Qingquan, ZHANG Jianmei. Research progress and prospect of distributed PV power generation technology under the goal of emission peak and carbon neutrality[J]. Solar Energy, 2023, (1): 17- 21.
2	丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34 (1): 1- 14.
	DING Ming, WANG Weisheng, WANG Xiuli, et al. A review on the effect of large-scale PV generation on power systems[J]. Proceedings of the CSEE, 2014, 34 (1): 1- 14.
3	国家发展和改革委员会, 国家能源局, 等. “十四五”可再生能源发展规划(发改能源〔2021〕1445号)[Z].
4	黄碧斌, 洪博文, 胡静, 等. 分布式光伏发电技术特性及对电力系统的影响[J]. 大众科技, 2016, 18 (1): 41- 43. DOI
	HUANG Bibin, HONG Bowen, HU Jing, et al. Technical characteristics of distributed photovoltaic power generation and its effects on power system[J]. Popular Science & Technology, 2016, 18 (1): 41- 43. DOI
5	赵波, 肖传亮, 徐琛, 等. 基于渗透率的区域配电网分布式光伏并网消纳能力分析[J]. 电力系统自动化, 2017, 41 (21): 105- 111. DOI
	ZHAO Bo, XIAO Chuanliang, XU Chen, et al. Penetration based accommodation capacity analysis on distributed photovoltaic connection in regional distribution network[J]. Automation of Electric Power Systems, 2017, 41 (21): 105- 111. DOI
6	黄碧斌, 李琼慧, 高菲, 等. 高渗透率分布式光伏发电接入农村电网的成本分析[J]. 电力系统及其自动化学报, 2017, 29 (6): 102- 106.
	HUANG Bibin, LI Qionghui, GAO Fei, et al. Cost analysis of distributed photovoltaic integration with high penetration rate in rural network[J]. Proceedings of the CSU-EPSA, 2017, 29 (6): 102- 106.
7	丁琦欣, 覃洪培, 万灿, 等. 基于机会约束规划的配电网分布式光伏承载能力评估[J]. 东北电力大学学报, 2022, 42 (6): 28- 38.
	DING Qixin, QIN Hongpei, WAN Can, et al. Chance-constrained optimization-based distributed photovoltaic hosting capacity assessment of distribution networks[J]. Journal of Northeast Electric Power University, 2022, 42 (6): 28- 38.
8	丁浩然, 张博, 唐巍, 等. 考虑源-网-荷-储协同的配电台区分布式光伏消纳能力评估[J]. 供用电, 2023, 40 (3): 2- 8, 31.
	DING Haoran, ZHANG Bo, TANG Wei, et al. Evaluation of distributed photovoltaic consumption capacity of distribution station area considering source-network-load-storage collaboration[J]. Distribution & Utilization, 2023, 40 (3): 2- 8, 31.
9	李世辉, 王琪, 贾晓卜, 等. 考虑热泵负荷和分布式光伏的配微网协调调度[J]. 中国电力, 2022, 55 (9): 29- 37.
	LI Shihui, WANG Qi, JIA Xiaobo, et al. Coordinated scheduling of distribution networks and microgrids considering heat pump load and distributed photovoltaic[J]. Electric Power, 2022, 55 (9): 29- 37.
10	李振坤, 鲍新雨, 邵宇鹰, 等. 考虑多种调压措施的分布式光伏消纳能力研究[J]. 电力系统保护与控制, 2018, 46 (8): 10- 16.
	LI Zhenkun, BAO Xinyu, SHAO Yuying, et al. Studying accommodation ability of distributed photovoltaic considering various voltage regulation measures[J]. Power System Protection and Control, 2018, 46 (8): 10- 16.
11	张光儒, 任浩栋, 马振祺, 等. 提升配电网承载力和调节能力的整县分布式光伏储能配置方法[J]. 电气技术, 2022, 23 (11): 49- 55, 61.
	ZHANG Guangru, REN Haodong, MA Zhenqi, et al. County-wide distributed photovoltaic energy storage configuration method to improve the carrying capacity and regulation capacity of distribution network[J]. Electrical Engineering, 2022, 23 (11): 49- 55, 61.
12	国务院办公厅. 关于转发国家发展改革委国家能源局关于促进新时代新能源高质量发展实施方案的通知(国办函〔2022〕39号)[Z].
13	孙充勃, 李敬如, 罗凤章, 等. 考虑分布式电源接入的配电系统典型算例设计[J]. 电力建设, 2020, 41 (10): 47- 62. DOI
	SUN Chongbo, LI Jingru, LUO Fengzhang, et al. Typical case design of distribution system considering DG integration[J]. Electric Power Construction, 2020, 41 (10): 47- 62. DOI
14	陈璨, 白明辉, 张婉明, 等. 分布式光伏边界渗透率快速定位及消纳方案择优[J]. 中国电力, 2022, 55 (8): 40- 50.
	CHEN Can, BAI Minghui, ZHANG Wanming, et al. Fast positioning of marginal hosting capacity and optimal selection of accommodation scheme for distributed PVs[J]. Electric Power, 2022, 55 (8): 40- 50.
15	蒋向兵, 汤波, 余光正, 等. 面向新能源就地消纳的园区储能与电价协调优化方法[J]. 电力系统自动化, 2022, 46 (5): 51- 64.
	JIANG Xiangbing, TANG Bo, YU Guangzheng, et al. Coordination and optimization method of park-level energy storage and electricity price for local accommodation of renewable energy[J]. Automation of Electric Power Systems, 2022, 46 (5): 51- 64.
16	李翠萍, 东哲民, 李军徽, 等. 提升配电网新能源消纳能力的分布式储能集群优化控制策略[J]. 电力系统自动化, 2021, 45 (23): 76- 83.
	LI Cuiping, DONG Zhemin, LI Junhui, et al. Optimal control strategy of distributed energy storage cluster for prompting renewable energy accomodation in distribution network[J]. Automation of Electric Power Systems, 2021, 45 (23): 76- 83.
17	饶萍, 向月, 姚昊天, 等. 市场环境下配电网分布式光储协同规划[J]. 中国电力, 2022, 55 (1): 178- 188.
	RAO Ping, XIANG Yue, YAO Haotian, et al. Collaborative planning for distribution network and PV-ESS in the marketization environment[J]. Electric Power, 2022, 55 (1): 178- 188.
18	黄碧斌, 李琼慧, 高菲. 计及电网改造的高渗透率分布式光伏优化规划[J]. 电力建设, 2015, 36 (10): 82- 87.
	HUANG Bibin, LI Qionghui, GAO Fei. Distributed photovoltaic optimal planning with high permeability considering grid reinforcement[J]. Electric Power Construction, 2015, 36 (10): 82- 87.
19	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- 2439.
	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- 2439.
20	国家能源局. 分布式电源接入电网承载力评估导则: DL/T 2041—2019[S]. 北京: 中国电力出版社.
21	黄碧斌, 李琼慧. 储能支撑大规模分布式光伏接入的价值评估[J]. 电力自动化设备, 2016, 36 (6): 88- 93.
	HUANG Bibin, LI Qionghui. Value assessment for energy storage in supporting large-scale integration of distributed PVs[J]. Electric Power Automation Equipment, 2016, 36 (6): 88- 93.

计及分布式光伏承载力的配电网侧独立储能充放电策略

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