The unbalanced distribution of resource and consuming centers in China has prompted the AC/DC hybrid transmission technology. The maintenance scheduling of an AC/DC hybrid transmission network is the key technology to ensure its safety and reliability. In this study, the mutual influence mechanism of an AC/DC system in a maintenance period was analyzed in detail. The overhead transmission line and transformer are key equipment within an AC/DC hybrid transmission network, and an optimization model of the key equipment maintenance scheduling was established. The objective of the model was to improve the system reliability during the maintenance scheduling. By considering the constraints of maintenance cost, maintenance resources, and maintenance workload, the maintenance scheduling of overhead transmission lines and transformer branches was obtained. The over-limit situation of power flow and the weakness of the system during the maintenance period was evaluated. The “double-layer substitution method” was adopted to convert the nonlinear constraints into its bilinear formulation such that it could then be solved. The random number sampling method was used to quantify the system reliability, and the commercial optimization software was used to solve the optimized scheduling. Based on the improved IEEE RTS-79 system and the Hubei Province electrical system, the simulation results showed the effectiveness of the proposed method.
Based on the project division of power transmission and transformation projects, this paper analyzes a large number of practical engineering cases, and summarizes the influencing factors of substation and overhead line project cost combined with the practical engineering experience of many experts, A number of cost control indicators are extracted, and a combination prediction model of project cost based on neural network and support vector machine is constructed. The actual project data are taken as samples for empirical research. The results show that the combination prediction model is feasible and accurate for the prediction of power transmission and transformation project cost, which provides a new idea and implementation method for the prediction of power transmission and transformation project cost.
There are many factors influencing the cost of transmission line project. The complex construction environment, different construction level and other factors could lead to large differences in the cost of comparable transmission line projects under the same voltage level. Based on the division of the transmission line projects, this paper analyzes and identifies the main factors affecting the cost of transmission line project. The random forest model is used to select 15 of the influencing factors. And then, this paper verifies the main factors selected, providing references for prediction.
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