Line maintenance within transmissionexpansion planning: a multistage framework
ISSN:
1751-8687DOI:
10.1049/iet-gtd.2018.5124Date:
2019-07Abstract:
Maintenance in transmission networks is an economical way to reduce upgrading network costs without decreasingits reliability. Hence, new studies regarding transmission expansion planning (TEP) must take into account the effects ofmaintenance in order to obtain realistic and economic expansion investment plans. This work presents a novel framework formultistage TEP, considering line maintenance, i.e. the expansion cost of the transmission system, network losses, costs of old-line replacement and maintenance, cost of newly constructed line maintenance, and cost of replaced line maintenance, aresimultaneously optimised. The advantage of this approach is the fact that the lifetimes of the lines that are replaced, retained,and added to the transmission system are changing during the expansion horizon. These lifetimes have an impact on themaintenance expenses. Annual maintenance costs are also affected by the inflation rate. Hence, both the lifetime and inflationrate roles are integrated into the proposed model. The robustness and effectiveness of the model are tested on the IEEE 24-bustest system, using a particle swarm optimisation algorithm. The results show that the proposed formulation finds more economicinvestment plans for TEP when compared with those found using static formulations considering the maintenance available inspecialised literature.
Maintenance in transmission networks is an economical way to reduce upgrading network costs without decreasingits reliability. Hence, new studies regarding transmission expansion planning (TEP) must take into account the effects ofmaintenance in order to obtain realistic and economic expansion investment plans. This work presents a novel framework formultistage TEP, considering line maintenance, i.e. the expansion cost of the transmission system, network losses, costs of old-line replacement and maintenance, cost of newly constructed line maintenance, and cost of replaced line maintenance, aresimultaneously optimised. The advantage of this approach is the fact that the lifetimes of the lines that are replaced, retained,and added to the transmission system are changing during the expansion horizon. These lifetimes have an impact on themaintenance expenses. Annual maintenance costs are also affected by the inflation rate. Hence, both the lifetime and inflationrate roles are integrated into the proposed model. The robustness and effectiveness of the model are tested on the IEEE 24-bustest system, using a particle swarm optimisation algorithm. The results show that the proposed formulation finds more economicinvestment plans for TEP when compared with those found using static formulations considering the maintenance available inspecialised literature.
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