Upgrading Conventional Distribution Networks by Actively Planning Distributed Generation Based on Virtual Microgrids

被引:9
作者
Xu, Xiaotong [1 ]
Xue, Fei [2 ]
Wang, Xiaoliang [2 ]
Lu, Shaofeng [3 ]
Jiang, Lin [4 ]
Gao, Ciwei [5 ]
机构
[1] China Elect Power Res Inst, Beijing 100089, Peoples R China
[2] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou 215123, Peoples R China
[3] South China Univ Technol, Shien Ming Wu Sch Intelligent Engn, Guangzhou Int Campus, Guangzhou 510640, Peoples R China
[4] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
[5] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2021年 / 15卷 / 02期
基金
中国国家自然科学基金;
关键词
Planning; Resource management; Distribution networks; Microgrids; Decision making; Distributed power generation; Decentralized control; Active planning; distributed generation (DG); electrical coupling strength (ECS); genetic algorithm (GA); virtual microgrids (VMs); ENERGY MANAGEMENT; OPERATION; RELIABILITY; DESIGN;
D O I
10.1109/JSYST.2020.2999560
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In addition to active energy management, this article proposes active planning as another critical feature of active distribution networks (ADNs). To develop this set of tasks, this article introduces a three-layer active planning framework consisting of a physical layer, cyber layer, and socioeconomic layer. Furthermore, a three-step developing strategy for ADNs based on a virtual microgrid (VM) is put forward. Then, according to this framework, this article focuses on a specific and fundamental issue that often arises: the optimal allocation of distributed generation (DG). A two-stage scheme based on VMs is a proposed solution. In the first stage, VM boundaries are determined based on the characteristics of a network structure. Using the identified VM boundaries as constraints, a bilevel hierarchical optimization method is applied to determine the optimal DG allocation in the second stage. The proposed method is verified in the popular PG&E 69-bus distribution network.
引用
收藏
页码:2607 / 2618
页数:12
相关论文
共 43 条
[1]   Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions [J].
Aghdam, Farid Hamzeh ;
Ghaemi, Sina ;
Kalantari, Navid Taghizadegan .
JOURNAL OF CLEANER PRODUCTION, 2018, 196 :185-201
[2]   Contingency based energy management of multi-microgrid based distribution network [J].
Aghdam, Farid Hamzeh ;
Salehi, Javad ;
Ghaemi, Sina .
SUSTAINABLE CITIES AND SOCIETY, 2018, 41 :265-274
[3]  
Aghdam FH, 2018, J ENERGY MANAGEMENT, V2, P31
[4]   Convex probabilistic allocation of wind generation in smart distribution networks [J].
Akbari, Mohammad-Amin ;
Aghaei, Jamshid ;
Barani, Mostafa .
IET RENEWABLE POWER GENERATION, 2017, 11 (09) :1211-1218
[5]   Comprehensive Operational Planning Framework for Self-Healing Control Actions in Smart Distribution Grids [J].
Arefifar, Seyed Ali ;
Mohamed, Yasser Abdel-Rady I. ;
EL-Fouly, Tarek H. M. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) :4192-4200
[6]   Optimum Microgrid Design for Enhancing Reliability and Supply-Security [J].
Arefifar, Seyed Ali ;
Mohamed, Yasser A. -R. I. ;
El-Fouly, Tarek H. M. .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) :1567-1575
[7]   Supply-Adequacy-Based Optimal Construction of Microgrids in Smart Distribution Systems [J].
Arefifar, Seyed Ali ;
Mohamed, Yasser Abdel-Rady I. ;
El-Fouly, Tarek H. M. .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) :1491-1502
[8]   Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization [J].
Atwa, Y. M. ;
El-Saadany, E. F. ;
Salama, M. M. A. ;
Seethapathy, R. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (01) :360-370
[9]   OPTIMAL CAPACITOR PLACEMENT ON RADIAL-DISTRIBUTION SYSTEMS [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (01) :725-734
[10]   Structural vulnerability of power systems: A topological approach [J].
Bompard, Ettore ;
Wu, Di ;
Xue, Fei .
ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (07) :1334-1340