Virtual Power Plant Coordination for Base Station Peak Shaving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing energy management systems in wireless communication networks fail to effectively integrate with virtual power plants, leading to incorrect site selection for peak shaving and frequency reserve actions due to inaccurate traffic and power consumption profiles, and neglect the impact of energy-saving functions and renewable energy availability.
Innovation Solution
An apparatus and method that integrates with a virtual power plant controller to dynamically adjust communication traffic and power consumption by determining and initiating actions at base stations, considering energy-saving functions and renewable energy sources, ensuring optimal battery usage and grid stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing energy management systems are used without integration with virtual power plants, then system simplicity is maintained, but accuracy of traffic and power consumption profiles deteriorates leading to incorrect site selection
Solution Approach 1:
The patent introduces an energy management system that acts as an intermediary between base stations and virtual power plant controllers. This intermediary collects and processes traffic and power consumption data from base stations, prepares accurate profiles, and transmits them to the virtual power plant controller, thereby resolving the contradiction between measurement precision and system complexity by adding a dedicated data processing layer
Solution Approach 2:
The system segments the energy management functionality into distinct components: base station data collection, energy management system processing, and virtual power plant controller decision-making. This segmentation allows each component to specialize in specific tasks, improving overall measurement precision while managing system complexity through modular architecture
2Productivity
If energy-saving functions and renewable energy availability are neglected, then system operation simplicity is maintained, but effectiveness of virtual power plant actions deteriorates
Solution Approach 1:
The energy management system performs preliminary actions by collecting and analyzing traffic and power consumption data before virtual power plant actions are executed. It proactively identifies base stations with favorable energy profiles and prepares recommendations in advance, improving the effectiveness of peak shaving and frequency reserve actions while managing complexity through advance planning
Solution Approach 2:
The system implements feedback mechanisms where the energy management system continuously monitors base station performance, renewable energy availability, and energy-saving function status. This feedback loop allows the virtual power plant controller to adjust actions based on real-time conditions, enhancing productivity while managing operational complexity through adaptive control
3Reliability
If base stations operate without optimized energy management, then operational simplicity is maintained, but energy efficiency and grid stability deteriorate
Solution Approach 1:
The energy management system enables base stations to self-service by automatically collecting their own traffic and power consumption data, generating energy profiles, and transmitting them to the energy management system. This self-service approach improves grid stability through optimized energy management while maintaining base station operational simplicity by automating the process without requiring manual intervention
Solution Approach 2:
The energy management system provides universal functionality by serving multiple base stations simultaneously, managing various energy-saving functions, and coordinating with virtual power plant operations. This multi-functional approach enhances grid stability through centralized optimization while keeping individual base station operations simple through standardized interfaces
Data Source
AI summary
Disclosed is a method including receiving, from an application or function, information indicating at least one of: one or more actions performed or predicted to be performed by the application or function, or one or more key performance indicators indicating an impact or predicted impact of the one or more actions, the one or more actions causing a change in at least one of: communication traffic associated with the one or more base stations, or power consumption of the one or more base stations or one or more subcomponents of the one or more base stations; determine, based at least partly on the received information, one or more virtual power plant actions or one or more peak shaving actions associated with at least one base station; and initiate the one or more virtual power plant actions or the one or more peak shaving actions.