DocumentCode :
1897519
Title :
Gbest-guided artificial bee colony algorithm based static transmission network expansion planning (STNEP)
Author :
Rathore, Chandrakant ; Roy, Ranjit
Author_Institution :
Electr. Eng. Dept., S.V. Nat. Inst. of Technol., Surat, India
fYear :
2015
fDate :
5-7 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
The nature-inspired optimization algorithm is implemented to solve the proposed static transmission network expansion planning (STNEP) problem. The STNEP problem is one of the major problems in the power sector. It helps to find out the new transmission facilities, which should be added to the transmission network, in order to fulfill the required demand of the network planner. The objective of the TNEP problem is to minimize the total system cost. The widely used direct current (DC) power flow mathematical model is adopted in this paper to simulate the STNEP problem. The proposed problem is solved for without considering generation rescheduling and with considering generation rescheduling case. The four standard IEEE test systems such as 6-bus, 24-bus, 46-bus and 93-bus are considered in this paper to simulate the proposed problem. The results obtained are compared with the previously published results in literature.
Keywords :
optimisation; power generation scheduling; power transmission planning; 24-bus; 46-bus; 93-bus; Gbest-guided artificial bee colony algorithm; STNEP; direct current power flow mathematical model; generation rescheduling; nature-inspired optimization algorithm; standard IEEE test systems; static transmission network expansion planning; Artificial neural networks; Investment; Optimization; Standards; Artificial bee colony optimization; DC power flow; investment cost; resizing; transmission expansion planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
Type :
conf
DOI :
10.1109/ICECCT.2015.7225959
Filename :
7225959
Link To Document :
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