Control Server Feedback for Priority-Based Power Demand Balancing
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Solution Overview
Problem
Current systems for managing electricity from renewable sources face challenges in balancing electricity supply and demand in real-time, leading to potential overconsumption and increased production costs, especially with unstable power generation from renewable energy sources like solar and wind.
Innovation Solution
A control server system that collects electricity consumption data from users, determines priority-based reduction amounts for specific devices, and transmits control data to consumption control devices to adjust electricity usage, ensuring balanced supply and demand through smart management of renewable energy production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electricity consumption is allowed to increase freely to meet user demand, then user satisfaction is improved, but supply-demand balance deteriorates and production costs increase
Solution Approach 1:
The control server continuously monitors electricity consumption data from multiple users and provides feedback by calculating and transmitting consumption reduction amounts to individual users. This feedback mechanism enables dynamic adjustment of consumption to maintain supply-demand balance while considering user priorities and preferences.
Solution Approach 2:
The system dynamically adjusts electricity consumption reduction amounts based on real-time consumption data, user priorities, and supply-demand conditions. The consumption control is not static but adapts continuously to changing conditions, allowing user satisfaction to be maintained while ensuring supply-demand balance.
2Reliability
If priority-based consumption control is implemented to maintain supply-demand balance, then supply stability is improved, but system complexity increases
Solution Approach 1:
The system segments electricity consumption control by dividing the total consumption reduction amount into individual reduction amounts for each user based on their priorities. This segmentation allows complex supply-demand balancing to be achieved through simple, personalized control instructions sent to each user's device.
Solution Approach 2:
The consumption control devices at user endpoints automatically execute the control logic by receiving consumption reduction amounts from the server and independently adjusting their respective electricity usage. This self-service approach distributes computational complexity from the central server to individual devices, simplifying the overall system architecture.
3Measurement precision
If real-time consumption monitoring is implemented for all users, then consumption accuracy is improved, but communication load increases
Solution Approach 1:
The system extracts only the essential consumption data needed for control decisions from the complete set of user consumption information. By processing and transmitting only the calculated consumption reduction amounts rather than raw monitoring data, the communication load is significantly reduced while maintaining the accuracy needed for effective control.
Data Source
AI summary
A server includes circuitry to receive data from plural control devices of a plural users. The data from each control device includes consumption records of electric devices. The circuitry determines whether an amount consumed by the plural users is greater than one provided by producers, and based on a determination, calculates a reduction amount for each of one or more users, according to an order of a priority set on the plural users from a top to one until a condition is satisfied. For each of the one or more users, the circuitry determines, a specific electric device and a reduction amount of the specific electric device, based on the data and reference data, and generates consumption control data including information on the specific electric device and the reduction amount. The circuitry transmits to, each of specific control devices of the one or more users, the consumption control data.