MATLAB DLR Boosts Transmission Line Capacity WITHOUT NEW LINES скачать в хорошем качестве

MATLAB DLR Boosts Transmission Line Capacity WITHOUT NEW LINES

⚡ What This Video Covers 🔹 Complete thermal modeling of overhead transmission lines 🔹 IEEE-738 vs CIGRE heat balance equations explained step-by-step 🔹 MATLAB implementation for dynamic ampacity calculation 🔹 Simulink models for real-time conductor behavior 🔹 Impact of wind speed and wind direction on convective cooling 🔹 Effect of ambient air temperature on line sag and ampacity 🔹 Solar irradiance influence on conductor heating 🔹 Rain and precipitation effects — an often ignored but critical factor 🔹 Seasonal and real-time Dynamic Line Rating analysis Dynamic Line Rating (DLR) is transforming how modern power grids operate—and this video explains exactly how. In this detailed, research-based video, MATLAB DLR Boosts Transmission Line Capacity WITHOUT NEW LINES, we deeply analyse how wind speed, wind direction, ambient temperature, solar irradiance, and rain affect the thermal and electrical capacity of overhead transmission lines, using IEEE-738 and CIGRE standards, implemented in MATLAB programming and Simulink modelling. Traditional Static Line Rating (SLR) methods assume worst-case weather conditions, which leads to massive underutilisation of existing transmission assets. In contrast, Dynamic Line Rating (DLR) calculates real-time ampacity based on actual environmental conditions, unlocking hidden capacity and enabling higher penetration of renewable energy — especially wind power. 🌬️ Why Wind Speed & Direction Matter Wind is the most dominant cooling mechanism for overhead conductors. Even small increases in wind speed can dramatically increase ampacity due to forced convection. This video demonstrates how: • Perpendicular wind provides maximum cooling • Parallel wind provides minimal cooling • Wind direction alone can change ampacity by 30% or more • Wind power generation naturally coincides with higher transmission capacity This explains why DLR is critical for wind energy integration. ☀️ Solar Irradiance & Ambient Temperature Effects Solar radiation increases conductor temperature and reduces allowable current, especially during summer midday hours. Ambient air temperature directly affects: • Radiative heat loss • Convective heat transfer • Conductor sag limits Using MATLAB simulations, this video shows why static ratings are overly conservative and how DLR adapts safely to changing conditions. 🌧️ Rain Effects – A Major Hidden Advantage One of the most unique parts of this research is the analysis of rain and precipitation effects on transmission lines. Rain provides: • Evaporative cooling • Lower ambient temperatures • Increased convective heat transfer • Temporary thermal headroom The results clearly show that rain events can significantly increase real-time ampacity, something completely ignored by static line rating methods. 🧮 MATLAB & Simulink Implementation This video goes beyond theory. You’ll see: ✔ MATLAB code implementing IEEE and CIGRE standards ✔ Time-series weather data analysis ✔ Ampacity plots under real environmental conditions ✔ Simulink models showing thermal–electrical coupling ✔ Dynamic resistance and temperature feedback This makes the content highly valuable for: • Power system engineers • Renewable energy professionals • MATLAB & Simulink learners • MSc / PhD students • Grid operators and researchers 🌍 Why This Matters for Modern Power Grids Dynamic Line Rating can: ✅ Increase transmission capacity by 20–70% ✅ Reduce renewable energy curtailment ✅ Delay costly grid reinforcements ✅ Improve grid reliability and resilience ✅ Support smart grids and digital substations DLR is now a key enabler for net-zero, smart grids, and high-renewable power systems. 📌 Who Should Watch This Video? • Power system engineers • Transmission & grid planners • MATLAB / Simulink users • Renewable energy researchers • Electrical engineering students • Utilities and system operators 👉 If you’re serious about modern power systems, grid optimisation, or renewable energy integration — this video is for you. 👍 Like | 🔔 Subscribe | 💬 Comment to support high-quality engineering content! #matlabsimulink #matlabsimulation #matlabproject #matlabprogramming #electricalengineering #overheadtransmissionlines #ampacityeffects #staticanddynamiclineratings #ieeestandards #cigrestandards