Heuristic Algorithms for Power Quality Analysis in IEEE-33 & IEEE-57 Bus Systems Using Fact Devices and Tracking

Abstract

DGs have become increasingly important to the grid in connection with renewable energy systems as fossil fuels run out and pollution is on the rise. The integration of renewable energy sources into low-and medium-voltage distribution networks has opened up a new field of study. To ensure that distributed generation (DG) connections to the grid meet power quality standards, electronic power converters are a common component of renewable energy systems. In this case, major power quality issues will always occur if the inverters' switching frequencies are not appropriately location. On the other hand, power quality reductions can cause acute problems inpower networks, such as decreased performance, decreased useful life and efficiency of electrical and electronic equipment in the network, and series and parallel resonance caused by inductors and capacitors in some harmonics, which corrupts the distribution voltage. The present work focuses on quality assurance with compensation using nature inspired algorithms with DG placement after tracking. It compensates by adding fact devices. MBO, GWO and Cuckoo search algorithms are used in the present research and devices like DVR and Dstat.Com are added along with DG. The quality parameters are compared with the existing and in order to increase the robustness hybrid algorithms with any two are suggested.