Resource Management System for Distributed Energy Grids
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Solution Overview
Problem
Distributed energy systems face challenges in efficiently matching energy producers and consumers due to variability in power sources and consumer requirements, leading to inefficient resource allocation and imbalance in energy distribution.
Innovation Solution
A method and system for resource management that establishes supply and demand parameters, sets constraints, and uses a constraint-based problem solver to optimize matches between providers and consumers, with the ability to validate parameters and adjust for different time slots, and records transactions securely using a blockchain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed energy resources are used to support local environments and enable autonomous operation, then grid resilience is promoted and carbon footprint is reduced, but it becomes challenging to match producers and consumers effectively due to variety in power sources and consumer characteristics
Solution Approach 1:
The patent introduces a transactive energy system with a central platform that acts as an intermediary between distributed energy producers and consumers. The platform receives supply parameters from producers, demand parameters from consumers, and constraints from both parties, then uses constraint-based optimization to determine optimal matches. This intermediary structure resolves the matching complexity while preserving grid resilience by enabling coordinated resource allocation across multiple autonomous distributed energy resources.
2Stability of the object's composition
If strong control is applied over the grid to obtain balance between supply and demand, then resource allocation balance is achieved, but the solution does not meet the requirements of both generators and consumers effectively
Solution Approach 1:
The patent implements dynamic parameter adjustment where supply parameters, demand parameters, and constraints are not fixed but can be modified based on optimization results and feedback. The system determines optimal values for parameters without constraints first, then applies constraints through iterative optimization. This dynamic approach allows the system to maintain supply-demand balance while adapting to meet diverse generator and consumer requirements by adjusting parameters in response to changing conditions and preferences.
3Productivity
If optimization is performed for multiple time slots with repeated establishment of parameters and constraints, then real-time resource allocation is achieved, but computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary establishment of supply parameters, demand parameters, and constraints before the actual optimization process for each time slot. By pre-defining these elements and validating their solvability before constrained optimization, the system reduces computational complexity during real-time execution. This preliminary action allows the system to quickly solve optimization problems for multiple time slots by reusing validated parameter structures and constraint frameworks rather than重新 establishing everything from scratch.
Data Source
AI summary
A method of resource management for transferring resources from providers to consumers is described. The method comprises the following steps. Supply parameters for the providers and demand parameters for the consumers are established, and constraints on the allocation of the resources are also established, as is an optimisation function for determining matches between providers and consumers. The optimisation function is solved for the established constraints using a constraint-based problem solver to determine matches between providers and consumers. Resources are then transferred from providers to consumers according to the determined matches. A computing system adapted to perform this method is also described, along with a power distribution system including such a computing system.