Distribution Network Reconfiguration Using Genetic Algorithm Considering Load Profile and The Penetration of Distributed Generation.

被引：1
|
作者：
Phuong Pham Quang [1 ]
Hung Cao Anh Quoc [1 ]
Quang Tran Minh [1 ]
机构：
[1] Hanoi Univ Sci & Technol, Sch Elect & Elect Engn, Hanoi, Vietnam
来源：
2023 ASIA MEETING ON ENVIRONMENT AND ELECTRICAL ENGINEERING, EEE-AM | 2023年
关键词：
Network reconfiguration; distributed generation; Genetic Algorithms; power loss minimization; load profile;
D O I：
10.1109/EEE-AM58328.2023.10394680
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
To enhance operational efficiency and reduce energy losses, reconfiguration of distribution systems can be made. This paper presents a multi-objective based Genetic Algorithms (GAs) to determine the optimal network configuration considering distributed generations (DGs). The solution to this problem involves a search over relevant radial configurations satisfying maximum and minimum voltage constraints, branch current carrying capacity limit and reduction of active power losses. The proposed reconfiguration algorithm is implemented in two cases, the first one is when no DGs integrate into the systems and the second one is when there is DGs integration. The merit of the proposed method is demonstrated through the IEEE 33-bus system.
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收藏
页数：6
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