Improving voltage profile and reducing power losses based on reconfiguration and optimal placement of UPQC in the network by considering system reliability indices

被引:21
作者
Dashtdar, Masoud [1 ]
Bajaj, Mohit [2 ]
Hosseinimoghadam, Seyed Mohammad Sadegh [1 ]
Sami, Irfan [3 ]
Choudhury, Subhashree [4 ]
Rehman, Ateeq Ur [5 ]
Goud, B. Srikanth [6 ]
机构
[1] Islamic Azad Univ, Elect Engn Dept, Bushehr Branch, Bushehr, Iran
[2] Natl Inst Technol Delhi, Dept Elect & Elect Engn, New Delhi, India
[3] CHUNG ANG Univ, Dept Elect & Elect Engn, Seoul, South Korea
[4] Siksha O Anusandhan Univ, Dept Elect & Elect Engn, Bhubaneswar, India
[5] Govt Coll Univ, Dept Elect Engn, Lahore, Pakistan
[6] Anurag Coll Engn, Dept Elect & Elect Engn, Ghatkesar, Telangana, India
来源
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2021年 / 31卷 / 11期
关键词
distribution network; loss reduction; optimal UPQC placement; reconfiguration; reliability index; voltage profile improvement; CAPACITOR PLACEMENT; LOSS MINIMIZATION; LOSS REDUCTION; QUALITY; ALGORITHM; IMPROVEMENT; SECURITY;
D O I
10.1002/2050-7038.13120
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
Distribution networks have problems such as an increase in active losses, overload on distribution substations, voltage drop, decrease in network reliability, increase in load unbalance and unbalance in line current due to variable characteristics in terms of load consumption. In this article, to reduce losses, improve the voltage profile and increase the reliability of the system, the UPQC (Unified Power Quality Controller) optimal placement and reconfiguration method have been used in the distribution network. The two objective functions of losses and the mean voltage deviation are defined by considering the reliability indices. Since the reconfiguration of distribution networks is a large-scale nonlinear hybrid optimization problem with several constraints, the genetic algorithm combines genes including key numbers and UPQC location, UPQC series power size, UPQC shunt power size used to solve the problem. The proposed method is implemented in three steps on IEEE 33-bus and 69-bus standard networks by considering the load model by genetic algorithm (GA). In the first stage, without considering the UPQC in the network, it only deals with the reconfiguration of the distribution network; at the second stage, without considering the network reconfiguration, only the appropriate UPQC placement is considered and in the final stage, the network reconfiguration and UPQC placement in these two networks are examined simultaneously. In this study, all simulations were performed with MATLAB software, and finally, reviewing and comparing the obtained results according to the solution method and the intended objective functions showed the proper performance of the proposed method compared to other methods.
引用
收藏
页数:29
相关论文
共 46 条