Microgrid Transformer Power Control via Thermal Prognosis
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Solution Overview
Problem
Microgrids connected to a main grid via transformers often experience temporary overloading, which can lead to transformer overheating and potential tripping, especially when the power transfer exceeds the rated capacity, posing challenges in maintaining power balance and avoiding equipment damage.
Innovation Solution
A method and system for controlling power in microgrids that involves monitoring power balance and transformer temperature, determining a load profile, and optimizing a power control schedule to maximize power transfer while avoiding overheating, by prioritizing energy storage and renewable power sources, and controlling cooling based on the load profile to anticipate and prevent temperature increases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the transformer is overloaded to meet peak power demand, then the power balance is improved, but the transformer temperature increases and reliability deteriorates
Solution Approach 1:
The control system performs preliminary cooling of the transformer before anticipated overload periods by activating cooling systems in advance. This lowers the baseline temperature so that when overload occurs, the transformer can dissipate heat more effectively and maintain lower operating temperatures, thereby maintaining reliability while enabling higher power transfer capacity during peak demand.
Solution Approach 2:
The system dynamically adjusts the transformer loading based on real-time temperature monitoring and predictive thermal models. The power transfer capacity is not fixed but varies continuously according to the transformer's thermal state, allowing maximum utilization when cool and reduced loading when warm, thus resolving the contradiction between maintaining high productivity and ensuring reliability.
2Productivity
If the transformer is overloaded temporarily, then the power balance is improved, but tripping risk increases
Solution Approach 1:
The system performs preliminary cooling actions before anticipated overload events to create thermal headroom. By lowering the transformer temperature in advance through enhanced cooling, the system establishes a safety buffer that delays the onset of tripping conditions, allowing temporary overload to proceed without triggering protective shutdown.
Solution Approach 2:
The control system enables the transformer to temporarily skip normal operating limits by permitting overload conditions when thermal conditions are favorable. The predictive thermal model identifies windows of opportunity where the transformer can safely exceed rated capacity for short durations without reaching tripping temperatures, thus rushing through the overload period before thermal limits are reached.
3Temperature
If cooling is increased to prevent overheating, then transformer temperature is controlled, but energy consumption increases
Solution Approach 1:
Instead of continuous cooling, the system employs periodic cooling cycles activated only when the predictive thermal model forecasts temperature exceeding thresholds. The cooling systems operate intermittently based on actual thermal needs rather than continuously, significantly reducing energy consumption while maintaining effective temperature control through targeted cooling during critical periods.
Solution Approach 2:
The transformer's natural heat dissipation capabilities are utilized as the primary cooling mechanism, with active cooling systems serving only as supplemental support when needed. The system allows the transformer to self-regulate temperature through passive convection and radiation during normal operation, activating active cooling only when predictive analysis indicates thermal runaway risk, thereby minimizing energy consumption while maintaining temperature control.
Data Source
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AI summary
A method (100) for controlling power in a microgrid (1) that comprises power sources (3), loads (5) and at least one connection to a main grid (2) where a transformer (4) is arranged to transfer electric power between the microgrid (1) and the main grid (2) is disclosed. The method comprises: monitoring (101 ) the power balance within the microgrid (1); monitoring (102) the transformer (4), including monitoring the transformer temperature; and detecting (103) a need for overloading the transformer (4) based on the power balance within the microgrid (1). Especially, the method comprises: determining (106) a load profile for the transformer (4) based on the power balance within the microgrid (1); determining a prognosis (107) of the transformer temperature based on the load profile; and determining (108) a schedule for power control of the microgrid (1), which determining of a schedule for power control includes analyzing (108A) the prognosis of the transformer temperature.