The Power Quality Forecasting Model for Off-Grid System Supported by Multiobjective Optimization

Data‐driven partition control strategy for harmonic distortion and voltage unbalance

“…This UDTS or MDTS is utilised to implement the proposed strategy to measure the long-term coupling degrees of single or integrated disturbance among nodes, divide disturbance areas, and allocate APFs to the identified areas. Furthermore, the occurrence of possible PQ disturbances is reliably forecasted by many researchers [23]. Therefore, the proposed strategy can be driven by several hours or a day of predicted data to suppress short-term disturbances that are about to occur.…”

Multi Objective Optimization in Charge Management of Micro Grid Based Multistory Carpark

“…The final adjustment of MOO followed the similar manners as its previous applications [11] and it was also performed experimentally to obtain some optimal convergence. The number of candidates was adjusted according to the dimension of the optimized problem, while the number of evaluations was kept reasonably high to perform a valid search.…”

“…The power quality parameters predictions have been already addressed by our previous studies [11,32], but a different hardware setup with different loads requires new modeling of this aspect. PQP was not involved in this paper due to its preliminary character.…”

“…The selection of the most suitable candidate is frequently ensured by a fuzzy decision making process having calculated the linear membership function for all members of the Pareto Front. In [11,43], the objective function to be minimized, the membership function follows below:…”

Impact of the Temporal Distribution of Faults on Prediction of Voltage Anomalies in the Power Grid

“…Previous research literature on fault prediction using PQA data is scarce. The most relevant articles are ones that look at related, but somewhat different, problems like prediction of power quality using weather measurements [5], predictions done on lower voltage networks [6] or predictions with shorter forecasting horizons, that are in the span of seconds instead of minutes [7].…”