Apoorva Sohani

• Spearheaded development of electrical system and converter control solutions for GE, enhancing product reliability and performance.
• Secured project funding by crafting compelling program proposals with business teams, aligning with strategic objectives.
• Led development of predictive maintenance algorithms that reduced costs by 15% and downtime by 28%, boosting system reliability.
• Championed LEAN principles and automation to streamline processes and boost efficiency.
• Authored patents and published papers documenting key research findings and technological advances.

Key Projects:

• Developed Wind Turbine Electrical System Capability Analyser to model grid and converter control units, enabling to predict power uprate capability 3-4 months in advance.
• Led development of grid code compliance technology to innovate drive train damping methods that comply with LVRT requirements, enabling market entry.
• Led project on early detection of shaft bearing faults in DFIG wind turbines resulting in reduced asset downtime by 15%, decreased maintenance costs by 40%.
• Spearheaded development of active power filter to improve power quality reducing THD by 20% during high turbulence and low wind speeds.
• Implemented application of Noise Reduction Modes in turbine to comply with regulations.
• Designed hybrid optimizer for microgrid project involving Solar, DG and Battery improving efficiency by 15%.

• Led intelligent control solutions on Edge for wind turbines, enhancing performance, extending component life, and reducing faults, significantly boosting system reliability.
• Managed full AGILE cycle for edge applications from concept to validation.
• Executed FMEA and created comprehensive test bench, enhancing failure mode mitigation.
• Proactively addressed project risks ensuring on-time delivery and collaborated with all teams to ensure successful completion of NPI process
• Lead and owned product, technical documentation, planned for it’s release & maintenance

Key Projects:

• Spearheaded development of Shadow Flicker Management System based on solar position and geographical calculations. This system reduced regulatory penalties by 100%.
• Led development of Pitch Battery Management System to estimate battery health and predict remaining life significantly reducing downtime by 14%.
• Supported development of Enhanced Turbine Performance Optimizer using MATLAB, to optimize pitch offsets for maximum power point tracking. This innovation increased annual energy production by leveraging real-time environmental data.

• Designed and implemented model based control algorithms enhancing wind turbine performance and ensuring safety.
• Analysed impact of control logic on mechanical loads of turbine and came up with parameter settings to ensure safety, avoiding overloads.
• Revamped turbine’s dynamic control systems by re-architecture, increasing readability and improving customer resolution cycles.
• Resolved over 50+ customer cases related to wind turbine controls enabling customer satisfaction and increased AEP.
• Optimized complex parameter and configuration hand off process of NPI by incorporating centralized simulation data management system and version control.
• Carried out rigorous system level testing of newer control algorithms and rectified defects and bugs to streamline control software production.

Key Projects:

• Developed specialized control algorithm to reduce loads on drive train during wind inertia using torque control which reduced downtime by 3%.
• Contributed towards creation of comprehensive training modules for new engineers on wind turbine control systems, focusing on system functionality and troubleshooting.
• Led redesign of pitch control system to optimize response to wind speed variability, which reduced turbine wear and tear.
• Contributed towards design of parameter tuning tool in MATLAB to configure D curves of NPI turbine.