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

doi:10.11930/j.issn.1004-9649.202410079

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202410079

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

Figures/Tables 16

Fig.1 Autonomous operation architecture of low-voltage substations

Fig.2 Algorithm flow chart

Fig.3 Example structure

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

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

Fig.4 General energy storage model parameters for electric vehicles

Fig.5 Pareto frontier distribution

Fig.6 Baseline interaction power

Fig.7 Interaction power range

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

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

Fig.10 Typical interactive power random trajectories

Fig.11 Control results corresponding to random trajectory 1

Fig.12 Regulation results corresponding to random trajectory 2

Fig.13 Predicting scenario interaction power and reporting interaction power

Fig.14 Interactive power range obtained with reference method

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