Line maintenance within transmission expansion planning: a multistage framework

• Published in: IET generation, transmission & distribution transmission & distribution, 2019-07, Vol.13 (14), p.3057-3065
• Main Authors: Mahdavi, Meisam, Sabillon, Carlos, Bagheri, Amir, Romero, Rubén
• Format: Article
• Language: English
• Subjects: annual maintenance costs; costing; economic expansion investment plans; economic investment plans; expansion cost; expansion horizon; IEEE 24‐bus test system; investment; lifetimes; maintenance engineering; maintenance expenses; multistage framework; multistage TEP; network losses; newly constructed line maintenance; old‐line replacement; optimisation; particle swarm optimisation; power distribution planning; power transmission economics; power transmission planning; realistic expansion investment plans; replaced line maintenance; Research Article; transmission expansion planning; transmission networks; transmission system; upgrading network costs
• ISSN: 1751-8687; 1751-8695; 1751-8695
• DOI: 10.1049/iet-gtd.2018.5124

Maintenance in transmission networks is an economical way to reduce upgrading network costs without decreasing its reliability. Hence, new studies regarding transmission expansion planning (TEP) must take into account the effects of maintenance in order to obtain realistic and economic expansion investment plans. This work presents a novel framework for multistage 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, are simultaneously 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 the maintenance expenses. Annual maintenance costs are also affected by the inflation rate. Hence, both the lifetime and inflation rate roles are integrated into the proposed model. The robustness and effectiveness of the model are tested on the IEEE 24-bus test system, using a particle swarm optimisation algorithm. The results show that the proposed formulation finds more economic investment plans for TEP when compared with those found using static formulations considering the maintenance available in specialised literature.