The Non-Conventional Green Energy Generation (Distributed Generation) module covers solar PV, wind, biomass, biogas, and micro-hydropower generation systems. The generated power parameters are measured and compared with grid parameters using a Phasor Measurement Unit (PMU). Necessary adjustments and synchronization are carried out prior to grid integration. The module provides training on monitoring, control, synchronization, and integration of distributed green energy sources with the utility grid.
Training on synchrophasor technology using PMUs for real-time measurement of voltage, current, magnitude, frequency, and phase angle with GPS time synchronization. Covers grid synchronization techniques including voltage, frequency, and phase-angle matching using phase-locked loop (PLL) control, as well as integration of distributed generation, renewable energy systems, and energy storage into the power grid. Includes applications of Phasor Data Concentrators (PDCs), Wide Area Monitoring Systems (WAMS), grid stability assessment, power flow monitoring, and smart grid operation.
Training on smart energy metering technologies and communication protocols used in modern smart grids. Covers Advanced Metering Infrastructure (AMI), two-way utility-consumer communication, real-time energy monitoring, demand response, and renewable energy integration. Includes practical exposure to industry-standard protocols such as DLMS/COSEM (IEC 62056), IEC 61850, Modbus, MQTT, and wireless communication technologies including ZigBee, Wi-Fi, and NB-IoT for secure data acquisition, transmission, and smart grid automation.
Training on communication standards and technologies used for automated demand response (DR) in smart grids. Covers OpenADR, IEEE 2030.5 (Smart Energy Profile 2.0), and CTA-2045 protocols for secure communication between utilities, aggregators, distributed energy resources, smart appliances, EV chargers, and home energy management systems. Includes practical understanding of load management, peak demand reduction, demand-side participation, grid flexibility, and supporting messaging protocols such as MQTT and XMPP for real-time energy management and smart grid applications.
Training on real-time condition monitoring and diagnostic analysis of electrical and industrial assets using Remote Monitoring and Control (RMC) systems. Covers sensor-based data acquisition, continuous monitoring of critical parameters, fault detection, condition assessment, predictive maintenance, and performance analysis. Includes data visualization, alarm management, trend analysis, asset health evaluation, and remote diagnostics for transformers, generators, motors, switchgear, and other critical infrastructure to improve reliability, reduce downtime, and optimize maintenance planning.
Training on energy efficiency technologies and demand-side management (DSM) strategies for optimizing electricity consumption, reducing peak demand, and enhancing grid reliability. Covers energy-efficient equipment, energy auditing, load profiling, demand response programs, time-of-use tariffs, smart energy management systems, and load-shifting techniques. Includes practical applications of energy conservation, peak load reduction, demand forecasting, consumer participation, and integration with smart grid technologies to achieve sustainable and cost-effective energy utilization.
Training on reactive power (VAR) management techniques for maintaining voltage stability, improving power factor, reducing transmission and distribution losses, and enhancing overall power system efficiency. Covers reactive power compensation methods using capacitor banks, reactors, Static VAR Compensators (SVC), STATCOMs, and smart inverter-based resources. Includes Volt-VAR Optimization (VVO), power quality improvement, voltage regulation, grid stability analysis, and reactive power control strategies for conventional and renewable energy-integrated power systems.
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