The fault current limiter (FCL) has been envisaged as a feasible solution to defend against out-of-range short-circuit currents (SCCs) in power systems. However, the existing studies mainly sited and sized FCLs under ...
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The fault current limiter (FCL) has been envisaged as a feasible solution to defend against out-of-range short-circuit currents (SCCs) in power systems. However, the existing studies mainly sited and sized FCLs under deterministic fault scenarios. Moreover, the influences of FCLs on power systems are complex including dynamic aspects, which makes it extremely difficult to configure FCLs optimally. This paper proposes a risk-based many-objective FCL configuration framework. Specifically, a data-driven Proportional Hazard Model (PHM) is developed to evaluate the nodal long-term short-circuit probability considering equipment aging, weather statistics, and surrounding conditions. The risks in terms of out-of-range SCC, abnormal voltage sag, and transient instability are formulated as the objective functions of the FCL configuration model, as well as the overall FCL investment. The time-domain dynamic response process of FCLs is considered in both the SCC limiting and the transient stability simulation process, mainly in the form of a time-varying resistance. The state-of-the-art NSGA-iii is deployed to search the Pareto-optimal FCL configuration solutions of the established many-objective FCL configuration problem. The numerical results verify that the risk-based model configures FCLs more economically with a 7.5% decrease of average FCL investment compared with the deterministic model.
The production process of manufacturing systems is usually not static and always interrupted by stochastic events, such as the deterioration effect of cutting tools. This study focuses on the dynamic flexible job shop...
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The production process of manufacturing systems is usually not static and always interrupted by stochastic events, such as the deterioration effect of cutting tools. This study focuses on the dynamic flexible job shop-scheduling problem considering the deterioration effect (DFJSP-DE). Two types of disturbances are considered, i.e. the implicit disturbance caused by the deterioration effect and the explicit disturbance caused by the reprocessing of unqualified jobs. Firstly, a step-deterioration effect model is proposed, with which the actual processing time of each operation can be predicted more accurately. A multi-objective optimisation model is formulated for the DFJSP-DE. The makespan, energy consumption, and stability of rescheduling solutions are three objectives to be optimised simultaneously. For this non-deterministic polynominal (NP)-hard problem, the non-dominated sortinggeneticalgorithmiii is employed to search the Pareto solutions for the DFJSP-DE. Finally, the results of three numerical experiments show that the proposed approach can solve DFJSP-DE effectively and efficiently.
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