MPLP-Based Fast Power System Reliability Evaluation Using Transmission Line Status Dictionary

Optimal scheduling of reconfigurable grids considering dynamic line rating constraint

“…Another main challenge in power systems is solving SCUC problem using an accurate AC power flow that provides an accurate model for system behaviours. In [13] a linear structure is proposed for OPF and as in a DC model, system behaviour is not presented with enough accuracy, in [14] an AC model for OPF is suggested. In [15], a quite linear AC framework is presented.…”

“…After a partial simplifying and reordering the terms, (15) and (16) can be rewritten as (17) and (18). As it was mentioned before, feeder losses are assumed as consumers in the model, in [13] feeder loss equations are shown as follows:…”

Machine‐learning‐based reliability evaluation framework for power distribution networks

“…Leite da Silva et al [19] proposed a new methodology for reliability evaluation of composite generation and transmission systems, based on nonsequential MCS and artificial neural network (ANN) techniques, where the ANN is used to classify the operating states during the MCS. In addition, similar ideas emerged in [20][21][22]. Indeed, these studies attempted to improve the evaluation efficiency by integrating machine-learning algorithms into the system state assessment process.…”

Reliability evaluation of bulk power systems using the uniform design technique

“…The network flow and DC power flow techniques were also adopted to facilitate state analysis by simplifying the power flow and load shedding algorithms [14]. The constraint reduction [15] and the multi‐parametric linear programming [16] were applied to further reduce the complexity of DC power flow‐based state analysis. These efforts significantly reduce the computational cost of reliability evaluation.…”