Weak bus determination and Real power loss minimization using Grey Wolf Optimization
被引:0
作者:
Raj, Saurav
论文数: 0引用数: 0
h-index: 0
机构:
Indian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, IndiaIndian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, India
Raj, Saurav
[1
]
Bhattacharyya, Biplab
论文数: 0引用数: 0
h-index: 0
机构:
Indian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, IndiaIndian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, India
Bhattacharyya, Biplab
[1
]
机构:
[1] Indian Sch Mines, Dept Elect Engn, Dhanbad, Bihar, India
来源:
2016 IEEE 6TH INTERNATIONAL CONFERENCE ON POWER SYSTEMS (ICPS)
|
2016年
关键词:
active power loss;
operating cost;
voltage collapse prediction;
fast voltage stability index;
grey wolf optimization algorithm;
reactive power planning;
OPTIMAL CAPACITOR PLACEMENTS;
GENETIC ALGORITHM;
DISTRIBUTION-SYSTEMS;
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:
A new optimization algorithm approach is proposed named Grey wolf optimization algorithm for the solution of reactive power planning (RPP) of a connected power network based on the detection of weak buses determined by line stability index method and Fast voltage stability index. The optimization algorithm is then applied on standard IEEE 30 and IEEE 57 bus system. The objective of the proposed work is to minimize active power loss and operating cost by proper coordination of reactive power generation of the generators, transformer tap setting positions and shunt capacitors placed at the weak buses of the system while maintaing voltage profile within acceptable limit. Finally, it is observed that reactive power planning with line stability index method yields better result than planning with fast voltage stability index.