DocumentCode
155901
Title
Improved-mosquitoes-behaviour based (I-MOX) evolutionary algorithm in transmission network expansion planning
Author
Rathore, Chandrakant ; Raj, Sugandh ; Sinha, Arun Kumar ; Roy, Ranjit
Author_Institution
Electr. Eng. Dept., S.V. Nat. Inst. of Technol., Surat, India
fYear
2014
fDate
Jan. 31 2014-Feb. 2 2014
Firstpage
538
Lastpage
543
Abstract
To solve the direct current (DC) power flow model based static transmission network expansion planning (STNEP), a modified version of MOX algorithm named Improved-MOX which has fast computation time and having better exploration capability then the MOX algorithm is presented in this paper. The objective is to minimize the transmission investment cost. Transmission network expansion planning (TNEP) helps to find out the new line configurations to meet the necessary requirements of the system operator in order to maintain the stable operation of the system. Here STNEP is analyzed considering without generation rescheduling. Garver´s six-bus, IEEE 24-bus and IEEE 25-bus test systems are used to check the validations of the proposed algorithm and along with the results obtained are compared with the existing in literatures.
Keywords
cost reduction; evolutionary computation; load flow; power transmission economics; power transmission planning; DC power flow model; I-MOX evolutionary algorithm; IEEE 24-bus test systems; IEEE 25-bus test systems; STNEP; direct current power flow model; improved-mosquitoes-behaviour based evolutionary algorithm; static transmission network expansion planning; transmission investment cost minimization; Convergence; Instruments; Investment; Load flow; Planning; Standards; Vectors; DC power flow; generation rescheduling; line investment cost; mosquitoes-behaviour; transmission expansion planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location
Calcutta
Type
conf
DOI
10.1109/CIEC.2014.6959147
Filename
6959147
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