DISTRIBUTION NETWORK PLANNING METHOD CONSIDERING THE COUPLING OF TRANSPORTATION NETWORK AND DISTRIBUTION NETWORK

被引:0
作者
Song, Zhuoran [1 ]
Li, Jianfeng [1 ]
Jiang, Tao [1 ]
Lu, Sichen [1 ]
机构
[1] State Grid Liaoning Elect Power Supply Co Ltd, Shenyang 110006, Peoples R China
来源
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2023年 / 24卷 / 03期
关键词
transportation networks; distribution network coupling; planning methods; linear programming; OPTIMIZATION;
D O I
10.12694/scpe.v24i3.2288
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper introduces a novel distribution network planning method that addresses the limitations of conventional approaches. The existing methods primarily focus on optimizing component objectives using reliability analysis, which results in inadequate operational power control performance due to neglecting the coupling degree analysis of distribution network subprojects. To overcome this limitation, the proposed method incorporates the coupling of the traffic and distribution networks into the planning process. The method involves modeling the transportation network and analyzing the coupling characteristics of the planning items. Specifically, the energy efficiency coupling degree is calculated to assess the degree of coupling. Based on this analysis, the planning nodes are strategically deployed, and a comprehensive planning model is constructed. The model is then subjected to constraints and solved to obtain an optimal distribution network planning scheme. To evaluate the effectiveness of the proposed method, experiments are conducted to assess its operational power control capability. The experimental results demonstrate that when the proposed method is employed for distribution network planning, it reduces operating power and achieves a more desirable planning outcome. The novelty of this work lies in integrating the coupling analysis of the traffic network and the distribution network into the planning process. Considering the interdependencies between these networks, the proposed method enables a more comprehensive and efficient distribution network planning scheme. This approach enhances operational power control performance and improves the overall effectiveness of distribution network planning.
引用
收藏
页码:429 / 438
页数:10
相关论文
共 20 条
[1]  
Barutcu IC, 2021, ENG TECHNOL APPL SCI, V11, P7311
[2]   Harmonics mitigated multi-objective energy optimization in PV integrated rural distribution network using modified TLBO algorithm [J].
Bhatt, P. K. .
RENEWABLE ENERGY FOCUS, 2022, 40 :13-22
[3]   Demand response and dispatchable generation as ancillary services to support the low voltage distribution network operation [J].
Canizes, Bruno ;
Silveira, Vitor ;
Vale, Zita .
ENERGY REPORTS, 2022, 8 :7-15
[4]  
Chawda G.S., 2022, ACTIVE ELECT DISTRIB, P229, DOI [10.1016/B978-0-323-85169-5.00010-1, DOI 10.1016/B978-0-323-85169-5.00010-1]
[5]   Three-phase power cooperative management of distribution network with high distributed energy resources penetration [J].
Cheng, Runting ;
Li, Qinhao ;
Zhang, Yongjun ;
Deng, Wenyang ;
An, Yuzheng ;
Chen, Mingli .
ENERGY REPORTS, 2022, 8 :239-250
[6]   A distribution network solid-state DC circuit breaker with current limiting function [J].
Ding, Can ;
Nie, Taiping ;
Chen, Yunwen .
ENERGY REPORTS, 2022, 8 :986-994
[7]   A full time scale resilience improvement strategy of distribution network under extreme weather [J].
Ding, Yixin ;
Lu, Tianfeng ;
Wang, Zhiyu ;
Wu, Houyi ;
Lu, Xuewen .
ENERGY REPORTS, 2022, 8 :1019-1025
[8]   A protection scheme for active distribution network based on the cooperative control of inverter-interfaced distributed generators [J].
Guo Wenming ;
Wang Hongru .
ENERGY REPORTS, 2022, 8 :342-352
[9]   Quantifying the effects of medium voltage-low voltage distribution network constraints and distributed energy resource reactive power capabilities on aggregators [J].
Gutierrez-Lagos, Luis ;
Petrou, Kyriacos ;
Ochoa, Luis Fernando .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (14) :2019-2032
[10]  
JAWAD I. M., 2021, Journal of Engineering and Sustainable Development, V25, P78