Optimal Integration of Wind Turbine into the grid with Artificial Intelligence-based microgrid controller
Ni Putu Agustini1, a) and I Made Wartana2, b)

1,2Department of Electrical Engineering, Faculty of Industrial Technology, National Institute of Technology (ITN) Malang 65145, Indonesia

Abstract

The proliferation of renewable energy resources (RES) in the network is because of the increasing demand for green energy due to the growing awareness of climate change. It requires utilities to connect The RES close to the load for better system reliability. Integrating the RES into the existing power grid without a significant system redesign is one of the main issues that need to be studied. An effective technique for solving this problem is integrating these units into a microgrid, the gateway to emerging a smart grid. This paper investigates the effect of microgrid integration into the grid to achieve safe maximum instantaneous RES penetration. The microgrid models include wind, solar, and energy storage in the grid. The double-fed induction generator (DFIG) wind turbine (WT) type is utilized to integrate into the grid^s dynamic model system by taking into account the automatic voltage regulator and the turbine governor (TG). The maximum acceptable load on each bus is determined explicitly by the Algorithm. The artificial intelligence-based heuristic method has been utilized in the controller to attain the optimal harmless rapid WT integration limit. When examined on a modified IEEE 14-bus microgrid system, the results seem pretty encouraging.

Keywords: Artificial intelligence- Microgrid Penetration- Renewable energy- Wind turbine

Topic: Power System, Smart Grid and Microgrid System