计及自治运行优化的配电网台区调节潜力区间建模

doi:10.11930/j.issn.1004-9649.202410079

中国电力 ›› 2025, Vol. 58 ›› Issue (10): 97-109.DOI: 10.11930/j.issn.1004-9649.202410079

• 低碳高可靠配电网的灵活运行与规划 • 上一篇下一篇

计及自治运行优化的配电网台区调节潜力区间建模

王振¹(), 丁孝华¹(), 余昆²(), 赵景涛¹, 黄堃³, 李渊¹, 吴俊兴⁴

1. 国网电力科学研究院有限公司，江苏南京　211106
2. 河海大学电气与动力工程学院，江苏南京　210098
3. 国电南瑞科技股份有限公司，江苏南京　211106
4. 国电南瑞南京控制系统有限公司，江苏南京　211106

收稿日期:2024-10-24 发布日期:2025-10-23 出版日期:2025-10-28
作者简介:
王振（2000），男，硕士，从事配电网运行优化研究，E-mail：19137904241@163.com
丁孝华（1974），男，博士，研究员级高级工程师，从事配电自动化、综合能源管理研究，E-mail：dingxiaohua@sgepri.sgcc.com.cn
余昆（1978），男，通信作者，博士，教授，博士生导师，从事智能配电网自愈控制与优化调度、用能系统高效运行与能源经济、用能互联网研究，E-mail：kunyhhu@163.com
基金资助:
国家重点研发计划资助项目（配电网业务资源协同及互操作关键技术，2021YFB2401300）；国家电网有限公司科技项目（适应分布式交易的有源配电网智能管控关键技术研究及装备研发，5400-202440179A-1-1-ZN）。

Regulation Potential Range Modeling for Distribution Transformer Zones Considering Autonomous Operation Optimization

WANG Zhen¹(), DING Xiaohua¹(), YU Kun²(), ZHAO Jingtao¹, HUANG Kun³, LI Yuan¹, WU Junxing⁴

1. State Grid Electric Power Research Institute Co., Ltd., Nanjing 211106, China
2. School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China
3. NARI Technology Co., Ltd., Nanjing 211106, China
4. NARI-TECH Nanjing Control Systems Co., Ltd., Nanjing 211106, China

Received:2024-10-24 Online:2025-10-23 Published:2025-10-28
Supported by:
This work is supported by National Key Research and Development Program of China (Key Technologies for Collaborative and Interoperable Business Resources in Distribution Networks, No.2021YFB2401300), Science and Technology Project of SGCC (Research and Development of Key Technologies and Equipment for Intelligent Management and Control of Active Distribution Networks Adapted to Distributed Transactions, No.5400-202440179A-1-1-ZN).

摘要/Abstract

摘要：

针对当前灵活性资源调节潜力评估方法没有计及台区最优运行状况，致使台区支撑上级电网功率调节时影响自身自治运行的问题，提出一种计及台区自治运行优化和源荷不确定性的可调节潜力区间建模方法。首先，聚合台区分散灵活性资源并建立其调控模型；其次，以台区最优运行为目标优化得到台区与上级电网交互功率基线；最后，计及源荷不确定性，基于基线交互功率最大化台区向上/下调节裕度，建立台区调节潜力区间模型，并采用水母搜索算法求解。算例仿真结果表明，所提方法能够准确评估台区调节潜力区间，为上级电网合理分配调节任务提供可靠参考，同时有效平衡台区最优运行与调节能力之间的关系。

关键词: 台区自治, 基线交互功率, 自治运行优化, 可调节潜力, 交互功率区间

Abstract:

To address the issue that current regulation potential evaluation methods for flexibility resources fail to consider the optimal operation status of distribution transformer zones, resulting in adverse impacts on the zones' autonomous operation when supporting the upper-level grid's power regulation, this paper proposes a modeling method for regulation potential range that incorporates autonomous operation optimization of distribution transformer zones and source-load uncertainties. Firstly, the scattered flexibility resources within the distribution transformer zone are aggregated, and a regulation model is established. Then, the interaction power baseline between distribution transformer zones and the upper-level grid is optimized to achieve the optimal operation of the distribution zone. Finally, accounting for source-load uncertainties and based on baseline interactive power, a transformer zone regulation potential range model is developed to enhance the upward/downward regulation margins, with solution via the jellyfish search algorithm. Simulation results demonstrate that the proposed method can accurately evaluate the regulation potential range of the transformer zones, providing reliable references for the upper-level grid to allocate regulation tasks effectively, and achieve a balance between optimal operation and regulation capability of the transformer zones.

Key words: distribution transformer zone autonomous operation, baseline interaction power, autonomous operation optimization, adjustable potential, interaction power range

王振, 丁孝华, 余昆, 赵景涛, 黄堃, 李渊, 吴俊兴. 计及自治运行优化的配电网台区调节潜力区间建模[J]. 中国电力, 2025, 58(10): 97-109.

WANG Zhen, DING Xiaohua, YU Kun, ZHAO Jingtao, HUANG Kun, LI Yuan, WU Junxing. Regulation Potential Range Modeling for Distribution Transformer Zones Considering Autonomous Operation Optimization[J]. Electric Power, 2025, 58(10): 97-109.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202410079

https://www.electricpower.com.cn/CN/Y2025/V58/I10/97

图/表 16

图 1 台区自治运行架构

Fig.1 Autonomous operation architecture of low-voltage substations

图 2 算法流程

Fig.2 Algorithm flow chart

图 3 算例结构

Fig.3 Example structure

表 1 储能参数

Table 1 Energy storage parameter

参数	储能1	储能2
$ P_{\max }^{\text{b}} $/kW	5	4.5
$E{}_{{\text{min}}}$/(kW·h)	1.6	2
${E_{{\text{max}}}}$/(kW·h)	14.4	12.9
$ \eta _{}^{{\text{ch}}} $	0.95	0.96
$ \eta _{}^{{\text{dis}}} $	0.95	0.96
$r_{}^{\text{b}}$/(元·(kW·h)^–1)	0.37	0.35

表 2 空调参数

Table 2 Air conditioning parameters

空调类型	R/(℃·kW^–1)	C/((kW·h)·℃^–1)	$ {P_{\min }} $/kW	$ {P_{\max }} $/kW	数量
1	4.9	91	0.3	1.5	10
2	3.3	200	0.4	2.3	6
3	2.2	313	0.6	3.8	4

图 4 电动汽车广义储能模型参数

Fig.4 General energy storage model parameters for electric vehicles

图 5 pareto前沿分布

Fig.5 Pareto frontier distribution

图 6 基线交互功率

Fig.6 Baseline interaction power

图 7 交互功率区间

Fig.7 Interaction power range

图 8 交互功率下限对应的可调设备优化结果

Fig.8 Adjustable device optimization results corresponding to interactive power lower limit

图 9 交互功率上限对应可调设备优化结果

Fig.9 Adjustable device optimization results corresponding to interactive power upper limit

图 10 典型交互功率随机轨迹

Fig.10 Typical interactive power random trajectories

图 11 随机轨迹1对应调控结果

Fig.11 Control results corresponding to random trajectory 1

图 12 随机轨迹2对应调控结果

Fig.12 Regulation results corresponding to random trajectory 2

图 13 预测场景交互功率与上报交互功率

Fig.13 Predicting scenario interaction power and reporting interaction power

图 14 对比方法交互功率区间

Fig.14 Interactive power range obtained with reference method

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计及自治运行优化的配电网台区调节潜力区间建模

Regulation Potential Range Modeling for Distribution Transformer Zones Considering Autonomous Operation Optimization

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