Optimal DG Deployment to Improve Voltage Stability Margin Considering Load Variation

被引:0
|
作者
Saad, Mohamed Attia [1 ]
Abd el-Ghany, Hossam A. [1 ]
Azmy, Ahmed M. [1 ]
机构
[1] Tanta Univ, Fac Engn, Elect Power & Machines Engn Dept, Tanta, Egypt
关键词
Distributed generation; Genetic algorithm; Energy losses; Voltage stability index; SYSTEM; IMPACT;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The deployment level of distributed generation (DG) affects significantly the development of electrical distribution networks. These units could provide good benefits for the system provided that the optimal location and size of DG units are accurately defined. This paper presents a framework to obtain the optimal location and sizing of DG units to emphasize these benefits considering the load variation using genetic algorithm (GA) technique. A multi objective function is developed based on improving overall voltage stability index (OVSI), enhancing voltage profile and reducing total energy loss. The main constraints involve a suitable voltage level at all buses, limiting the maximum number of DG units and limiting the total DG capacity. IEEE 33-bus typical system is used to test the proposed framework. The results indicate the possibility of improving the OVSI, enhancing the voltage profile and reducing total energy loss considering load variation using three formulas for VSI and different types of DG units.
引用
收藏
页码:765 / 771
页数:7
相关论文
共 50 条
  • [31] Voltage stability analysis considering dynamic load model
    Zeng, YG
    Berizzi, A
    Marannino, P
    [J]. FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2, 1997, : 396 - 401
  • [32] Analysis of voltage stability criterion considering load characteristics
    Tang, Yong
    Lin, Wei-Fang
    Sun, Hua-Dong
    Yi, Jun
    Zhong, Wu-Zhi
    Zhang, Xin
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2010, 30 (16): : 12 - 18
  • [33] New criteria of voltage stability margin for the purpose of load shedding
    Wiszniewski, Andrzej
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2007, 22 (03) : 1367 - 1371
  • [34] Undisruptive load curtailment scheme to ensure voltage stability margin
    Jalali, Ahvand
    Sepasian, Mohammad Sadegh
    Sheikh-El-Eslami, Mohammad Kazem
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (09) : 1509 - 1519
  • [35] Comparison of load margin analysis for steady state voltage stability
    Yuan, Yue
    Wen, Xuehong
    Zhou, Chengke
    [J]. 2007 42ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1-3, 2007, : 592 - 596
  • [36] Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type
    Karimyan, Peyman
    Gharehpetian, G. B.
    Abedi, M.
    Gavili, A.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 : 277 - 287
  • [37] FVSI Based Meta-heuristic Algorithm for Optimal Load Shedding to Improve Voltage Stability
    Meena, Ghanshyam
    Verma, Kusum
    Mathur, Akhilesh
    [J]. 2022 IEEE 10TH POWER INDIA INTERNATIONAL CONFERENCE, PIICON, 2022,
  • [38] Optimal Load Shedding to Improve Static Voltage Stability Employing Black Hole Optimization Algorithm
    Sharma, Namami Krishna
    Varma, Aishwarya
    Choube, S. C.
    Yadav, Swapnil Kumar
    [J]. 2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING - RECENT ADVANCES (CERA), 2017, : 341 - 346
  • [39] Optimal Allocation of Renewable DG Sources in Distribution Networks Considering Load Growth
    Abdel-Mawgoud, Hussein
    Kamel, Salah
    Ebeed, Mohamed
    Youssef, Abdel-Raheem
    [J]. 2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON), 2017, : 1236 - 1241
  • [40] Optimal DG Allocation for Power Loss Reduction Considering Load and Generation Uncertainties
    Saric, Mirza
    Hivziefendic, Jasna
    Tesanovic, Majda
    [J]. 2019 11TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2019,