Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis

被引:0
作者
Azhar, Noor Aliff Nazmi Bin Noor [1 ]
Mohamad, Hasmaini [2 ]
Salim, Nur Ashida [2 ]
Yasin, Zuhaila Mat [2 ]
机构
[1] Univ Teknol MARA, Coll Engn, Sch Elect Engn, Shah Alam 40450, Selangor, Malaysia
[2] Univ Teknol MARA, Coll Engn, Sch Elect Engn, Power Syst Planning & Operat Grp PoSPO, Shah Alam 40450, Selangor, Malaysia
来源
19TH IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED 2021) | 2021年
关键词
optimization; evolutionary programming; power system reliability; average energy not supplied;
D O I
10.1109/SCOReD53546.2021.9652699
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.
引用
收藏
页码:174 / 179
页数:6
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