Electricity Production Assembly Power Slope Control
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Solution Overview
Problem
Renewable energy-based electricity production systems, such as photovoltaic and wind turbine systems, face significant challenges in managing unpredictable power fluctuations due to meteorological conditions, leading to potential sudden drops or increases in electrical output, which can strain distribution networks and require costly and environmentally impactful storage solutions.
Innovation Solution
A method and device for driving an electricity production assembly that determines a maximum admissible power and a target power, using a processor and memory to validate if the system can deliver power within authorized slopes, ensuring a stable output even with limited storage capacity, by simulating power delivery and storage behavior based on energy models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the storage capacity of the battery assembly is substantially increased to handle prolonged drops in output power, then the system can maintain stable power delivery during extended meteorological variations, but the cost and environmental impact increase substantially
Solution Approach 1:
The control device performs preliminary simulations of power delivery under various meteorological scenarios before actual fluctuations occur. By predicting potential drops in output power and pre-planning storage system responses, the system can maintain stability without requiring excessive storage capacity, thus resolving the contradiction between reliability and quantity of substance
Solution Approach 2:
The system dynamically adjusts the operational parameters of the battery assembly based on real-time meteorological conditions and predicted power fluctuations. Rather than relying on fixed, oversized storage capacity, the control device optimizes charge/discharge cycles dynamically, allowing stable power delivery with minimal storage requirements
2Quantity of substance
If the storage capacity is limited, then the system is more cost-effective and environmentally friendly, but the system cannot maintain stable power delivery during prolonged meteorological variations
Solution Approach 1:
The control device continuously monitors the state of charge of the battery assembly, the actual output power of the production system, and meteorological conditions. This feedback loop enables real-time optimization of storage system operation, allowing the system to maintain reliable power delivery even with limited storage capacity by making adaptive control decisions
Solution Approach 2:
The system performs preliminary simulations to predict power delivery requirements under various meteorological scenarios. By anticipating future power needs and preparing storage system responses in advance, the system can maintain stability during prolonged variations without requiring excessive storage capacity
3Productivity
If the production system operates at maximum output power, then energy production is maximized, but sudden meteorological variations cause unacceptable fluctuations in delivered power to the distribution network
Solution Approach 1:
The control device dynamically adjusts the operating parameters of the production system, particularly the output power level, based on meteorological predictions and storage system state. By changing these parameters adaptively rather than operating at fixed maximum capacity, the system maintains both high productivity and stable power delivery to the distribution network
Data Source
AI summary
A method for driving an electricity production assembly includes an electricity production system, that generates an output power, as well as an electricity storage system. The production assembly is driven, at each time-step, in such a way as to deliver a total power that is less than a maximum admissible power. The maximum admissible power is determined in such a way that the production assembly can, starting from this power, and taking account of a stored energy in the storage system at the considered time-step, progressively reach, with a moderate slope, a minimum anticipated power, which is representative of the worst downward variation expected for the output power in case of degradations in meteorological conditions.