Artificial Intelligence Technique Based Wind Power Generation System in a Micro Grid

This paper presents the design of a dc grid-based wind power generation system. The proposed system allows flexible operation of multiple parallel- connected wind generators by eliminating the need for voltage and frequency synchronization. A model predictive control algorithm that offers better transient response with respect to the changes in the operating conditions is proposed for the control of the inverters. An Artificial Intelligence(AI) Technique based Fuzzy controller is used in this project to regulate the dc micro grid. The design concept is verified through various test scenarios to demonstrate the operational capability of the proposed micro grid when it operates connected to and islanded from the distribution grid, and the results obtained are discussed. Index Terms—Wind power generation, dc grid, energy management, model predictive control, Artificial Intelligence(AI) Technique, fuzzy logic controller.