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**Harvard**

Golestani, S., Tadayon, M. och Pirbazari, A. (2010) *Transmission network expansion planning considering unit commitment problem simultaneously*.

** BibTeX **

@conference{

Golestani2010,

author={Golestani, S.J. and Tadayon, M.H. and Pirbazari, Ali Mehdipour},

title={Transmission network expansion planning considering unit commitment problem simultaneously},

booktitle={IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010; Gothenburg; Sweden; 11 October 2010 through 13 October 2010},

isbn={978-142448510-9},

pages={Art. no. 5638905},

abstract={Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit Commitment (UC), influences transmission lines, this paper presents an Integer Coded Genetic Algorithm (ICGA) to solve both problems together. Genetic algorithm can consider all generation and network constraints. Also random behavior of genetic algorithm can simulate real probabilities such as uncertainty in generation. Considering uncertainty for some units, in each iteration, it can find out the probability of congestion for each line. After all iterations it can highlight the transmission lines which need expansion, because of high congestion probability. Simulation results of the proposed idea are presented for IEEE30-bus network.},

year={2010},

keywords={Integer coded genetic algorithm , Transmission network expansion planning , Unit commitment},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 216329

A1 Golestani, S.J.

A1 Tadayon, M.H.

A1 Pirbazari, Ali Mehdipour

T1 Transmission network expansion planning considering unit commitment problem simultaneously

YR 2010

T2 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010; Gothenburg; Sweden; 11 October 2010 through 13 October 2010

SN 978-142448510-9

AB Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit Commitment (UC), influences transmission lines, this paper presents an Integer Coded Genetic Algorithm (ICGA) to solve both problems together. Genetic algorithm can consider all generation and network constraints. Also random behavior of genetic algorithm can simulate real probabilities such as uncertainty in generation. Considering uncertainty for some units, in each iteration, it can find out the probability of congestion for each line. After all iterations it can highlight the transmission lines which need expansion, because of high congestion probability. Simulation results of the proposed idea are presented for IEEE30-bus network.

LA eng

DO 10.1109/ISGTEUROPE.2010.5638905

LK http://dx.doi.org/10.1109/ISGTEUROPE.2010.5638905

OL 30