Comprehensive Optimization Model for Sizing and Siting of DG Units, EV Charging Stations, and Energy Storage Systems

被引:102
|
作者
Erdinc, Ozan [1 ,2 ]
Tascikaraoglu, Akin [3 ]
Paterakis, Nikolaos G. [4 ]
Dursun, Ilker [5 ]
Sinim, Murat Can [5 ]
Catalao, Joao P. S. [2 ,6 ,7 ,8 ]
机构
[1] Yildiz Tech Univ, Dept Elect Engn, TR-34220 Istanbul, Turkey
[2] Univ Lisbon, Inst Super Tecn, INESC ID, P-1049001 Lisbon, Portugal
[3] Mugla Sitki Kocman Univ, Dept Elect & Elect Engn, TR-48000 Mugla, Turkey
[4] Eindhoven Univ Technol, Dept Elect Engn, NL-5600 MB Eindhoven, Netherlands
[5] Bogazici Elect Distribut Co, Res & Dev Dept, TR-34403 Istanbul, Turkey
[6] Univ Porto, INESC TEC, P-4200465 Porto, Portugal
[7] Univ Porto, Fac Engn, P-4200465 Porto, Portugal
[8] Univ Beira Interior, C MAST, P-6201001 Covilha, Portugal
关键词
Distributed generation; distribution system; electric vehicle charging station; energy storage system; sizing and siting; OPTIMAL DISTRIBUTED GENERATION; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM; OPTIMAL PLACEMENT; DISTRIBUTION NETWORKS; OPTIMAL ALLOCATION; POWER;
D O I
10.1109/TSG.2017.2777738
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
The sizing and siting of renewable resources-based distributed generation (DG) units has been a topic of growing interest, especially during the last decade due to the increasing interest in renewable energy systems and the possible impacts of their volatility on distribution system operation. This paper goes beyond the existing literature by presenting a comprehensive optimization model for the sizing and siting of different renewable resources-based DG units, electric vehicle charging stations, and energy storage systems within the distribution system. The proposed optimization model is formulated as a second order conic programming problem, considering also the time-varying nature of DG generation and load consumption, in contrast with the majority of the relevant studies that have been based on static values.
引用
收藏
页码:3871 / 3882
页数:12
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