Smart Control System based on Power Quality Parameter Short-term Forecasting

Abstract

Smart control systems (SCS) are needed to control power grid systems to keep the generated power compliant with the consumed power, and to ensure power quality parameters. The main purpose of the design and use of smart control systems is to reduce the cost of power generation, while generating power of a good quality. In general, when designing a smart control system, we should deal with two main steps- forecasting the power quality parameters, and shifting the load. This research contributes towards good function of SCS. In this study, using a decision tree, five forecasting models were designed incorporating the power quality parameters, such as power frequency forecasting, magnitude of the supply voltage, total harmonic distortion of voltage, total harmonic distortion of current, and short term flicker severity forecasting according to the definition in [EN 50160]. The output of these five models can be used to shift the load to run in switch time, which will meet the generated power. This task will contribute to keeping power quality parameters within the standard levels.