Method for modifying the power consumption of a device
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Solution Overview
Problem
The variability and unpredictability of renewable energy sources, such as wind and photovoltaic power, lead to energy consumption management challenges, particularly in managing peaks and variations in energy power injected into the network, which can stress equipment and cause undesirable network disturbances, and existing solutions either incur high costs or introduce phase shifts leading to non-renewable energy consumption.
Innovation Solution
A method that involves receiving instantaneous data on the electrical network's energy surplus or deficit, generating a dynamic power setpoint with controlled variation rates, and regulating equipment power to mitigate these fluctuations, using a system with a management element and control module that limits power setpoint variations to prevent equipment stress and optimize energy distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If instantaneous measurements are used to pilot energy consumption, then the ability to absorb excess renewable power is improved, but equipment stress increases and network disturbances are created
Solution Approach 1:
The patent applies preliminary action by using predictive algorithms that forecast renewable energy production and consumption patterns in advance, rather than reacting to instantaneous measurements. This allows the system to prepare for upcoming fluctuations and smooth out power variations before they occur, preventing equipment stress while maintaining the ability to absorb excess renewable power.
Solution Approach 2:
The patent implements beforehand cushioning by introducing temporal smoothing and energy storage mechanisms that buffer against rapid power fluctuations. The system accumulates energy during periods of excess production and releases it during deficits, cushioning the impact of renewable energy variability on equipment and the network.
2Reliability
If temporal averaging is used to steer energy consumption, then equipment stress is reduced, but phase shift is introduced causing undesirable withdrawal from the network
Solution Approach 1:
The patent applies dynamics by using adaptive smoothing algorithms that adjust the temporal averaging window based on current renewable energy production patterns and equipment capabilities. This dynamic approach maintains equipment stress reduction while minimizing phase shifts that would cause undesirable withdrawal from the network, as the system can respond more quickly to changing conditions.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor the effects of temporal averaging on network performance and equipment operation. This feedback allows the system to optimize the smoothing parameters in real-time, reducing phase shifts and preventing non-renewable energy withdrawal while still protecting equipment from excessive stress.
3Ease of manufacture
If radio communication is used for data transmission, then installation constraints are satisfied, but acquisition frequency decreases degrading algorithm performance
Solution Approach 1:
The patent applies preliminary action by performing predictive calculations and energy management decisions based on forecast data received at lower frequencies, rather than requiring high-frequency real-time data. This allows the system to make informed decisions with less frequent data updates, maintaining algorithm effectiveness while accommodating radio communication constraints.
Solution Approach 2:
The patent implements partial action by using a simplified control algorithm that is specifically optimized for low-frequency data acquisition. Rather than attempting to implement a complex high-frequency control system, the patent uses a tailored approach that achieves effective energy management with the limited data availability imposed by radio communication.
Data Source
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AI summary
The invention relates to a method for modifying the energy consumption of equipment (1) powered by an electrical network (2), the method comprising steps of: (a) receiving data descriptive of a state of the electrical network ( 2), comprising data quantifying in a substantially instantaneous manner a surplus or a deficit of energy of renewable origin within the network (2); (b) generation by a management element (30) of a dynamic power setpoint as a function of said data; (c) transmission of said instruction to a control module (12) of the equipment (1); (d) power regulation of said equipment (1) as a function of the power setpoint; characterized in that step (b) comprises limiting said generated dynamic power setpoint so that it has a rate of variation lower than a reference threshold rate.