@article{(Open Science Index):https://publications.waset.org/pdf/1028,
	  title     = {DCGA Based-Transmission Network Expansion Planning Considering Network Adequacy},
	  author    = {H. Shayeghi and  M. Mahdavi and  H. Haddadian},
	  country	= {},
	  institution	= {},
	  abstract     = {Transmission network expansion planning (TNEP) is an important component of power system planning that its task is to minimize the network construction and operational cost while satisfying the demand increasing, imposed technical and economic conditions. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of these methods, the lines adequacy rate has not been studied after the planning horizon, i.e. when the expanded network misses its adequacy and needs to be expanded again. In this paper, in order to take transmission lines condition after expansion in to account from the line loading view point, the adequacy of transmission network is considered for solution of STNEP problem. To obtain optimal network arrangement, a decimal codification genetic algorithm (DCGA) is being used for minimizing the network construction and operational cost. The effectiveness of the proposed idea is tested on the Garver's six-bus network. The results evaluation reveals that the annual worth of network adequacy has a considerable effect on the network arrangement. In addition, the obtained network, based on the DCGA, has lower investment cost and higher adequacy rate. Thus, the network satisfies the requirements of delivering electric power more safely and reliably to load centers.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {12},
	  year      = {2008},
	  pages     = {2875 - 2880},
	  ee        = {https://publications.waset.org/pdf/1028},
	  url   	= {https://publications.waset.org/vol/24},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 24, 2008},
	}