Simultaneous siting and sizing of Soft Open Points and the allocation of tie switches in active distribution network considering network reconfiguration

被引:22
作者
Ehsanbakhsh, Mahdiyeh [1 ]
Sepasian, Mohammad Sadegh [1 ,2 ]
机构
[1] Shahid Beheshti Univ, Dept Elect Engn, Tehran, Iran
[2] Shahid Beheshti University, Fac Elect Engn, Tehran 1983969411, Iran
关键词
distribution planning and operation; mathematical programming; mathematics computing; power distribution economics; renewable energy sources; resource allocation; ELECTRICAL DISTRIBUTION NETWORK; ENERGY-STORAGE; DISTRIBUTION-SYSTEMS; REACTIVE POWER; GENERATION; OPERATION; OPTIMIZATION; VOLTAGE; PENETRATION; BENEFITS;
D O I
10.1049/gtd2.12683
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Soft Open Points (SOPs) are power electronic devices and emerging flexible interconnections. The active and reactive power flow flexible controllability of SOP facilitates to improve the performance characteristics of the networks. To evaluate the contribution of SOPs to operational characteristics improvement, instead of a fixed number and an optimized configuration of SOPs is necessary. In addition to optimal siting and sizing of SOPs in distribution networks, considering the smart switching capability of SOPs compared to conventional switching through tie switches is important. This issue affects the decision of simultaneous investment for these types of equipment. Existing studies have not considered the coordinated presence of SOPs and candidate tie switches in a planning scheme for allocating them simultaneously. Here, a stochastic scenario-based planning model is proposed to determine the optimal sites and sizes of SOPs and the allocation of tie switches simultaneously while obtaining the optimal operation strategy of these devices during the network reconfiguration process. The model is formulated using the second-order cone programming approach. The optimization problem is solved considering renewable power production scenarios and different loading conditions. Finally, the proposed model is conducted on the IEEE 33-bus and 69-bus systems, and the results are presented.
引用
收藏
页码:263 / 280
页数:18
相关论文
共 46 条
[1]   A reliable and cost-effective planning framework of rural area hybrid system considering intelligent weather forecasting [J].
Abazari, Ahmadreza ;
Soleymani, Mohammad Mahdi ;
Kamwa, Innocent ;
Babaei, Masoud ;
Ghafouri, Mohsen ;
Muyeen, S. M. ;
Foley, Aoife M. .
ENERGY REPORTS, 2021, 7 :5647-5666
[2]  
Aithal A., 2018, THESIS CARDIFF U WAL
[3]   The economics of distributed energy generation: A literature review [J].
Allan, Grant ;
Eromenko, Igor ;
Gilmartin, Michelle ;
Kockar, Ivana ;
McGregor, Peter .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 42 :543-556
[4]   Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems [J].
Atwa, Y. M. ;
El-Saadany, E. F. .
IET RENEWABLE POWER GENERATION, 2011, 5 (01) :79-88
[5]   Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability [J].
Bai, Linquan ;
Jiang, Tao ;
Li, Fangxing ;
Chen, Houhe ;
Li, Xue .
APPLIED ENERGY, 2018, 210 :1082-1091
[6]   NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) :1401-1407
[7]   Benefits of Distribution-Level Power Electronics for Supporting Distributed Generation Growth [J].
Bloemink, Jeffrey M. ;
Green, Timothy C. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (02) :911-919
[8]  
Cao, 2015, THESIS CARDIFF U WAL
[9]  
Cao WY, 2014, IEEE PES INNOV SMART
[10]   Benefits analysis of Soft Open Points for electrical distribution network operation [J].
Cao, Wanyu ;
Wu, Jianzhong ;
Jenkins, Nick ;
Wang, Chengshan ;
Green, Timothy .
APPLIED ENERGY, 2016, 165 :36-47