Non-Real-Time RIC Power Allocation for Peak Grid Load Shifting
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Solution Overview
Problem
Existing communication systems face challenges in efficiently managing power consumption and reducing reliance on power grids during peak load times, leading to potential grid stress and inefficiencies.
Innovation Solution
A non-real time Radio Access Network (RAN) intelligent controller (RIC) is employed to dynamically allocate power consumption by analyzing current and historical data, weather conditions, and site-specific factors, enabling intelligent switching between utility power and local batteries to optimize power usage and reduce grid reliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If dynamic power allocation using non-real time RIC is implemented, then power efficiency is improved, but system complexity increases
Solution Approach 1:
A non-real time RIC is introduced as an intermediary component between the power source and communication sites. This RIC collects power consumption data from multiple sites, processes it using machine learning models, and generates power allocation decisions. By centralizing the intelligence in this intermediary layer, individual communication sites don't need complex local decision-making capabilities, thus improving overall power efficiency while managing system complexity through centralized control.
Solution Approach 2:
The system performs preliminary power allocation decisions based on historical data and machine learning predictions before peak load periods occur. The non-real time RIC analyzes patterns in power consumption and pre-determines optimal power distribution strategies, allowing the system to proactively manage power resources rather than reactively responding to demand fluctuations, thereby improving power efficiency without requiring real-time complex processing at each site.
2Loss of energy
If power consumption is reduced during peak load times, then grid stress is reduced, but processing speed may be affected
Solution Approach 1:
The system dynamically changes power allocation parameters for different communication sites based on their specific needs, historical performance data, and predicted demand patterns. During peak load times, the non-real time RIC adjusts power consumption parameters individually for each site rather than uniformly reducing power across all sites. This allows the grid stress to be reduced while maintaining adequate processing speeds for critical functions by preserving power allocation for high-priority sites.
Solution Approach 2:
Different power allocation strategies are applied to different communication sites based on their local characteristics, such as traffic patterns, importance, and historical performance. The non-real time RIC implements site-specific power management where critical infrastructure receives maintained or increased power allocation while less critical sites experience reduced allocation during peak times. This localized approach reduces overall grid stress while preserving processing speeds where needed.
Data Source
AI summary
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to obtain a first power value associated with a local power source configured to provide the first power value to a network component in a communication site. Further, the processor is configured to obtain a second power value associated with the network component and determine a power consumption associated with the plurality of connection interfaces based on the first power value and the second power value. The processor is configured to track the power consumption over a period of time and determine one or more indicators associated with the power consumption over the period of time, determine whether the indicators match historical data and replace a first power supply with a second power supply in response to determining that the indicators match the historical data.