机构:
HEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, CroatiaHEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, Croatia
Kaluder, Slaven
[1
]
Šljivac, Damir
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机构:
Elektrotehnički fakultet Osijek, Sveučilište J. J. Strossmayera u Osijeku, Kneza Trpimira 2b, Osijek, CroatiaHEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, Croatia
Šljivac, Damir
[2
]
Miletić, Saša
论文数: 0引用数: 0
h-index: 0
机构:
HEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, CroatiaHEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, Croatia
Miletić, Saša
[1
]
机构:
[1] HEP-ODS Elektroslavonija Osijek, Cara Hadrijana 3, Osijek, Croatia
[2] Elektrotehnički fakultet Osijek, Sveučilište J. J. Strossmayera u Osijeku, Kneza Trpimira 2b, Osijek, Croatia
来源:
Tehnicki Vjesnik
|
2012年
/
19卷
/
03期
关键词:
Greenhouse effect - Nonlinear programming - Location - Distributed power generation - Energy dissipation - Electric utilities;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
The distributed generation within the distribution and low voltage network is a result of decentralizing electrical power production by introducing the electricity market as well as trying to reduce the greenhouse effect. A new optimum solution has to be found while planning the electro energetic system which includes building new production capacity, a new network and expansion of reactive capacity. The benefits that can be obtained from this optimum solution are of economical, technical and ecological nature. Analytical methods have proven less successful in dealing with nonlinear optimization problems. Evolution algorithms have proven most applicable onto real systems. The aim of this project is to determine the location and the capacity of distributed generation by using genetic algorithms at feeder 10 kV Strizivojna Hrast. The given results have determined the optimum locations and capacity in the 10 kV Strizivojna Hrast feeder.