TY - JOUR
T1 - Optimizing the transmission line cost of a fault tolerance network to promote green power usage
AU - Wang, Wen Li
AU - Weissbach, Robert
AU - Tang, Mei Huei
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Green power is clean without pollution, such as solar and wind power. It has become a resolution to supplement the deficiency of today's high cost/danger energy resources. A challenge is to integrate these distributed resources into the power grid. The high cost and voltage drop of running long transmission lines motivate the way to minimize the length by serializing their connections to load centers. This introduces a risk that the loss of a transmission line section can disconnect multiple green power resources. Our previous study proposed an idea of a fault tolerance network, in which every power resource has at least two independent connections to the load centers. Preliminary studies showed that fault tolerance can be achieved with reasonable extra transmission line expenses. The objective of this paper is to develop an artificial intelligence algorithm to identify possible Steiner points into the network. The new network intends to further reduce the cost without compromising the reliability.
AB - Green power is clean without pollution, such as solar and wind power. It has become a resolution to supplement the deficiency of today's high cost/danger energy resources. A challenge is to integrate these distributed resources into the power grid. The high cost and voltage drop of running long transmission lines motivate the way to minimize the length by serializing their connections to load centers. This introduces a risk that the loss of a transmission line section can disconnect multiple green power resources. Our previous study proposed an idea of a fault tolerance network, in which every power resource has at least two independent connections to the load centers. Preliminary studies showed that fault tolerance can be achieved with reasonable extra transmission line expenses. The objective of this paper is to develop an artificial intelligence algorithm to identify possible Steiner points into the network. The new network intends to further reduce the cost without compromising the reliability.
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U2 - 10.1016/j.procs.2012.09.081
DO - 10.1016/j.procs.2012.09.081
M3 - Conference article
AN - SCOPUS:84896950726
SN - 1877-0509
VL - 12
SP - 338
EP - 343
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 2012 Complex Adaptive Systems Conference
Y2 - 14 November 2012 through 16 November 2012
ER -