Smart Node Electricity Supply Control for Grid Optimization
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Solution Overview
Problem
Current electric grid management systems lack the ability to efficiently optimize electricity supply and demand based on varying levels of reliability, leading to inefficiencies and increased costs due to the inability to adjust supply according to different service types and customer preferences.
Innovation Solution
A computer-implemented method that receives load data from smart nodes controlling electricity flow, determines electricity demand, and optimizes supply by adjusting based on service type indications, reliability levels, and guaranteed supply levels, allowing for non-firm and firm service arrangements, and calculates prices for reliability levels using supplier and market data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electricity supply is adjusted based on varying reliability levels and service types, then grid optimization and cost efficiency are improved, but system complexity increases due to multiple service arrangements and control mechanisms
Solution Approach 1:
The patent segments electricity service into distinct categories (firm service and non-firm service) with different reliability levels. This segmentation allows the system to optimize supply for each category separately, improving overall grid efficiency while managing complexity through structured classification of service types and reliability levels.
2Adaptability or versatility
If multiple service types with different reliability levels are offered, then customer choice and adaptability are improved, but service management complexity increases
Solution Approach 1:
The patent implements dynamic service arrangements where electricity supply can be adjusted in real-time based on grid conditions and service type. Firm service maintains guaranteed supply levels while non-firm service allows flexible adjustments, enabling the system to adapt to varying customer needs and grid conditions without requiring complex static configurations for each scenario.
3Loss of energy
If electricity supply is reduced or shut off for non-firm service, then cost efficiency is improved, but service reliability deteriorates
Solution Approach 1:
The patent changes the reliability parameter differently for different service types. Non-firm service accepts variable reliability parameters with planned reductions or shut-offs during certain periods, while firm service maintains constant high reliability parameters. This parameter differentiation allows cost-efficient operations for non-firm service while preserving reliability where needed.
Data Source
AI summary
One embodiment of the instant invention is a computer-implemented method that includes steps of: receiving load data for a load, where the load is associated with a smart node that controls a flow of electricity, where the load data includes a service type indication; where the service type indication identifies whether the load receive in a non-firm electricity service, a firm electricity service, or both, where the non-firm electricity service is based on a non-firm service supply arrangement associated with the load and a supplier of electricity, where the non-firm service supply arrangement defines electricity usage based on a reliability level of the electrical supply provided by the supplier of electricity without a guaranteed level of uninterrupted electricity supply, and where the reliability level of the electrical supply is based on an ability to instruct to reduce or shut off the electricity supply.