Household Renewable Power Scheduling for Grid Peak Demand Shifting
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Solution Overview
Problem
The challenge lies in efficiently managing electricity production and consumption between households and the electric grid to reduce reliance on non-renewable energy sources by optimizing the delivery and consumption of renewable energy at specific times, considering household consumption patterns and grid availability.
Innovation Solution
A system or apparatus, such as a virtual power plant, computes electricity consumption and production plans for households, optimizing when to deliver renewable energy to the grid and when to consume from it, using historical data, probability distributions, and artificial intelligence to minimize non-renewable energy use during peak demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If renewable electrical energy production devices are installed in households to reduce non-renewable energy use, then environmental sustainability is improved, but the complexity of managing electricity delivery and consumption increases
Solution Approach 1:
The patent introduces a communication network as an intermediary between households with renewable energy devices and the electric grid. This mediator facilitates coordinated electricity delivery and consumption management, enabling complex optimization without requiring direct complex interactions between individual households and the grid operator.
Solution Approach 2:
The system enables households to perform multiple functions: consuming electricity from the grid, delivering excess renewable electricity to the grid, and participating in optimized energy management. This multi-functional approach consolidates various energy management tasks into a unified system, reducing overall complexity.
2Productivity
If households deliver renewable electricity to the grid during peak demand periods, then non-renewable energy generation is reduced, but the reliability of meeting household consumption needs must be maintained
Solution Approach 1:
The system performs preliminary computation of electricity consumption plans and delivery schedules before executing them. By pre-calculating optimized timelines for electricity delivery and consumption based on forecasted grid demand and household needs, the system ensures that reliability requirements are met while maximizing renewable energy delivery to the grid during appropriate periods.
Solution Approach 2:
The communication network enables continuous feedback between households, the grid, and the optimization system. This feedback loop allows the system to monitor actual consumption and delivery patterns, adjust plans in real-time, and ensure that household reliability requirements are maintained while achieving productivity goals for renewable energy delivery.
3Object-affected harmful factors
If electricity consumption is optimized based on grid status and demand, then non-renewable energy dependence is reduced, but the computational requirements and data processing needs increase
Solution Approach 1:
The communication network serves as an intermediary that collects, transmits, and processes data between households and the optimization system. This mediator handles the computational burden of analyzing grid status, demand patterns, and consumption plans, reducing the computational complexity burden on individual household devices while still achieving comprehensive optimization.
Data Source
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AI summary
A method comprising: computing, by an apparatus or system, availability of at least one renewable electrical energy production device that delivers electricity to at least one household associated therewith to deliver electricity to an electric grid; computing, by the apparatus or system, an electricity usage plan for the predetermined period of time; optimizing, by the apparatus or system, the electricity usage plan so that: the electricity to be delivered by the at least one renewable electrical energy production device associated with the at least one household is to be delivered to the electric grid at one or more different time periods at least when an amount of the possible electric power generation corresponding to non-renewable electrical energy generators is greater than at other time periods within the predetermined period of time; andduring a predetermined duration after the time period or periods when the electricity is delivered to the electric grid, the electricity delivered by said at least one renewable electrical energy production device, the electricity delivered by said at least one renewable electrical energy production device for consumption by the respective household of the at least one household is lower than the computed availability during said predetermined duration.