Abstract
In order to ensure deep-water flowline safety, this paper combined the axial temperature distribution model of the submarine pipeline and the distributed parameter circuit model of the skin effect electric heat tracing system; such work is conducive to proving that the heating effect of the skin effect electric heat tracing system depends on the distributed circuit parameters and power frequency of the system. Due to the complexity of the power supply device, the frequency cannot be increased indefinitely. Therefore, for the case that the input of the skin electric heat tracing system is constrained, a generalized predictive control algorithm introducing the input softening factor is proposed, and the constrained generalized predictive control strategy is applied to the electric heating temperature control system of the submarine oil pipeline. Simulation results demonstrated that the control quantity of the skin effect electric heat tracing system is effectively controlled within a constraint range, and also the values of heating power and power frequency are obtained by theoretical calculations rather than empirical estimations. Moreover, compared with the conventional control algorithm, the proposed constrained generalized predictive algorithm unfolds more significant dynamic response and better adaptive adjustment ability, which verifies the feasibility of the proposed control strategy.
Highlights
In order to prevent crude oil from solidifying and waxing in submarine pipelines, active heating of submarine pipelines, reducing heat loss of pipelines and reducing temperature drop along the way have become the key to efficient and safe transportation of offshore crude oil pipelines
The heating power and frequency of the skin electric heating system can only be estimated according to the actual engineering experience, and the existing thermal management strategies have the disadvantages of low heating energy efficiency, slow adjustment speed, and single-temperature control algorithm
This paper starts with the axial temperature distribution model of the submarine pipeline and the equivalent circuit model of the distribution parameter of the skin effect electric heat tracing system
Summary
In order to prevent crude oil from solidifying and waxing in submarine pipelines, active heating of submarine pipelines, reducing heat loss of pipelines and reducing temperature drop along the way have become the key to efficient and safe transportation of offshore crude oil pipelines. The key to the research of electric heating technology of oil pipeline is the calculation of pipeline temperature field and heating power For this reason, this paper starts with the axial temperature distribution model of the submarine pipeline and the equivalent circuit model of the distribution parameter of the skin effect electric heat tracing system. Combined with the axial temperature distribution model of the submarine pipeline and the power distribution of the heating element, the actual temperature distribution of the submarine pipeline is obtained, which indicates that the heating effect of the skin effect electric heat tracing system depends on the distributed circuit parameters and current frequency of the system. The generalized predictive control of the skin electric heat tracing system based on the Hammerstein model is further optimized, so that the designed controller can meet the production requirements under certain limits and work properly under conditions closer to the actual production conditions
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