Complete Smart Grid Power Network with Integrated Wind Farm Generation System

This project involved developing a complete smart grid power network architecture comprising three core subsystems: generation, transmission, and distribution. The system design incorporated object-oriented programming principles to create modular components for each sector, allowing for scalable simulation and real-time data exchange between modules. To enhance sustainability, we integrated a sophisticated wind farm model using predictive control algorithms that optimized power generation based on meteorological data inputs. The wind turbine implementation featured Maximum Power Point Tracking (MPPT) algorithms and pitch control systems to maximize energy capture efficiency. The wind farm model was rigorously tested through discrete-event simulation and power flow analysis, ensuring optimal performance under variable wind conditions. Our implementation included SCADA (Supervisory Control and Data Acquisition) systems with custom-developed monitoring dashboards that provided real-time visualization of power generation metrics, grid stability parameters, and environmental impact indicators. The communication infrastructure utilized IEC 61850 protocols for seamless data integration between generation assets and distribution networks. This smart grid solution not only delivered reliable power supply through advanced fault detection and self-healing algorithms but also significantly reduced carbon emissions through optimized renewable energy integration. The system architecture incorporated machine learning-based demand forecasting modules that balanced traditional and renewable power sources, contributing to a sustainable energy ecosystem with reduced operational costs and enhanced grid resilience.