DocumentCode :
1823618
Title :
Multi objective optimal power flow to minimize losses and carbon emission using Wolf Algorithm
Author :
Priyanto, Yun Tonce Kusuma ; Hendarwin, Lukman
Author_Institution :
Dept. of Electr. Eng., Kalimantan Inst. of Technol., Balikpapan, Indonesia
fYear :
2015
fDate :
20-21 May 2015
Firstpage :
153
Lastpage :
158
Abstract :
The population growth and technological advances lead to increasing demand for electrical energy is not matched by the growth of energy sources. Many ways in which to distribute electrical energy with a variety of methods to get the amount of energy efficient with an economical price. In this paper would like to introduce applications use Wolf Algorithm (WA) for optimal settings on optimal power flow control variables. The main objective was tested and tried in the standard IEEE 30-bus test system with multi objective which showed losses and carbon emission value. The results of the main goals will be compared and reported in the literature. The results are quite promising and show effectiveness and resilience of the main goal.
Keywords :
IEEE standards; air pollution; load flow control; optimisation; IEEE 30-bus test system; carbon emission minimization; loss minimization; multiobjective optimal power flow control; wolf algorithm; Coal; Generators; Lead; Mathematical model; Carbon Emission; Optimal Power Flow; Particle Swarm Optimization; Wolf Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Technology and Its Applications (ISITIA), 2015 International Seminar on
Conference_Location :
Surabaya
Print_ISBN :
978-1-4799-7710-9
Type :
conf
DOI :
10.1109/ISITIA.2015.7219971
Filename :
7219971
Link To Document :
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