A bi-level multi-objective optimal operation of grid-connected microgrids

被引:70
作者
Lv, Tianguang [1 ]
Ai, Qian [1 ]
Zhao, Yuanyuan [2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[2] State Grid Qingdao Power Supply Co, Qingdao 266000, Peoples R China
基金
中国国家自然科学基金;
关键词
Grid-connected microgrid; Bi-level optimization; Multi-objective optimization; Genetic algorithm; ENERGY MANAGEMENT; POWER; GENERATION;
D O I
10.1016/j.epsr.2015.09.018
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
To obtain operation benefits of both distribution network (DN) and microgrids (MGs), a multi-objective bi-level optimal operation model for DN with grid-connected MGs is explained. Starting from forecast of load and generation in MGs, upper-level (DN level) model determines the optimal dispatch of DN to achieve its power loss reduction and voltage profile improvement. Lower-level (MG level) model accepts the dispatch requirements from upper-level and determines the optimal operation strategy of distributed generators in MGs. Their energy utilization is increased with the consideration of wind curtailment, solar curtailment and other factors such as environmental benefits. With the mutual influence and constraints between upper-level and lower-level model, MGs could accommodate the optimal dispatch of DN. To solve the bi-level model, a combination method based on self-adaptive genetic algorithm and non-linear programming is put forward. IEEE 33 DN with Europe typical MGs and a real system are presented to perform several simulations, and results show the over-all optimal operation schemes of both DN and MGs compared with traditional dispatch approach, thereby validating the efficiency of the proposed model. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 70
页数:11
相关论文
共 31 条
[1]   Power Scheduling of Distributed Generators for Economic and Stable Operation of a Microgrid [J].
Ahn, Seon-Ju ;
Nam, Soon-Ryul ;
Choi, Joon-Ho ;
Moon, Seung-Il .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (01) :398-405
[2]  
[Anonymous], 2007, Intelligent Optimization Method
[3]  
[Anonymous], 2010, Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE PES
[4]   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
[5]   Energy and complexity: New ways forward [J].
Bale, Catherine S. E. ;
Varga, Liz ;
Foxon, Timothy J. .
APPLIED ENERGY, 2015, 138 :150-159
[6]  
Chen Jie, 2013, Proceedings of the CSEE, V33, P57
[7]   An overview of bilevel optimization [J].
Colson, Benoit ;
Marcotte, Patrice ;
Savard, Gilles .
ANNALS OF OPERATIONS RESEARCH, 2007, 153 (01) :235-256
[8]  
Deb K., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P849
[9]  
Fang C, 2014, CHIN CONTR CONF, P7472, DOI 10.1109/ChiCC.2014.6896243
[10]   A two-stage optimal planning and design method for combined cooling, heat and power microgrid system [J].
Guo, Li ;
Liu, Wenjian ;
Cai, Jiejin ;
Hong, Bowen ;
Wang, Chengshan .
ENERGY CONVERSION AND MANAGEMENT, 2013, 74 :433-445