Load Shape Signal Flattening for Renewable Peak Demand Control
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Solution Overview
Problem
Existing energy management systems struggle to optimize energy production and consumption across power grids, particularly in integrating renewable energy sources and managing peak demand effectively.
Innovation Solution
A method and system for optimized load shaping, which involves obtaining load shape signals for renewable and non-renewable energy sources, flattening the load shape by apportioning it across time intervals, and adjusting it to optimize energy consumption and production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If load shape signal is used to manage energy consumption, then energy production and consumption optimization is improved, but device complexity increases
Solution Approach 1:
The patent introduces a load shape signal as an intermediary mechanism that mediates between energy supply and demand. This signal acts as a mediator that communicates optimal consumption patterns to energy-consuming devices, enabling optimization without requiring complex direct control systems. The load shape signal translates complex energy management requirements into simple modulation instructions that devices can follow.
Solution Approach 2:
The patent modifies the load shape signal by adjusting its parameters (amplitude, phase, timing) to optimize energy consumption patterns. By changing these signal parameters dynamically, the system achieves energy optimization without requiring fundamental changes to device architecture. The signal parameters are adjusted based on renewable energy availability and grid conditions.
2Loss of energy
If renewable energy sources are integrated into the power grid, then loss of energy is reduced, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-flattening the load shape signal before applying it to renewable energy sources. This preprocessing step prepares the signal in advance to accommodate variable renewable generation, allowing the system to maximize renewable energy utilization without requiring complex real-time control mechanisms. The flattening process anticipates renewable energy availability patterns and adjusts the load shape accordingly.
3Quantity of substance
If load shape signal is applied to modulate electric loads, then peak demand is reduced, but ease of operation decreases
Solution Approach 1:
The patent implements self-service by enabling energy-consuming devices to automatically modulate their operation based on the load shape signal. Devices autonomously adjust their energy consumption patterns without requiring manual intervention or complex user interaction. The system serves itself by having devices respond automatically to signal modulations, reducing peak demand through decentralized autonomous control.
Data Source
AI summary
A method, system and apparatus are provided for optimized load shaping for optimizing production and consumption of energy. Information signals indicative of a first load shape signal are obtained corresponding to a total load, a renewable energy load of one or more renewable energy sources and a non-renewable energy load of one or more non-renewable energy sources. The first load shape signal corresponding to renewable energy load is removed from a non-renewable energy load to obtain a resulting load shape signal. The resulting load shape is flattened signal by apportioning the resulting load shape signal across time intervals to obtain a flattened load shape signal. At least a portion of the first component corresponding to the renewable energy load is added to the flattened load shape signal to create an optimized load shape signal. The optimized load shape signal is provided to modulate electric loads of energy-consuming devices.