Mobile Battery Replacement Coordination for Power Grid Balancing
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Solution Overview
Problem
The increasing fluctuations in renewable energy supply and electricity demand, particularly due to the integration of electric vehicles, put a high load on power grid management systems, making it challenging to maintain a balance and requiring complex predictive changes and computational loads.
Innovation Solution
An aggregator server is introduced to manage mobile batteries connected to the power grid, allowing for replacement requests and offers to be centralized, selecting suitable replacement candidates based on schedules and locations, and facilitating direct replacement to maintain grid balance, while also imposing penalties and granting rewards to ensure timely connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the power feed controller coordinates power feed over vehicles in real time to handle schedule changes, then the power feed reliability is improved, but the computational load and device complexity increase significantly
Solution Approach 1:
The system divides the power feed coordination function into two segments: the aggregator server handles schedule management and replacement coordination, while the power feed controller handles real-time power feed execution. This segmentation reduces the computational burden on the power feed controller while maintaining overall system reliability through distributed intelligence.
Solution Approach 2:
The aggregator server acts as an intermediary between mobile batteries and the power grid. It receives replacement requests, identifies suitable replacement candidates, and coordinates the power feed process, thereby reducing the complexity burden on the power feed controller while ensuring reliable power feed delivery.
2Reliability
If the aggregator server manages all predictive changes and computational loads for schedule changes, then the power grid balance is maintained, but the computational load on the aggregator server becomes excessively high
Solution Approach 1:
Mobile batteries autonomously monitor their own charging status and initiate replacement requests when needed. The system enables self-service by allowing mobile batteries to automatically find and coordinate with replacement candidates, reducing the computational burden on the aggregator server while maintaining power grid balance.
Solution Approach 2:
The system pre-identifies potential replacement candidates and stores their information in advance. When a replacement request occurs, the aggregator server can quickly retrieve and evaluate pre-screened candidates rather than performing complex real-time calculations, thereby reducing computational load while ensuring power grid stability.
3Reliability
If complex prediction changes are implemented to handle schedule changes, then the power grid balance is maintained, but the ease of operation for mobile battery users deteriorates
Solution Approach 1:
The system provides real-time feedback to mobile battery users about replacement availability and status. Users receive notifications about replacement requests, candidate selections, and coordination progress, making the complex background processes transparent and improving user experience while maintaining power grid balance through automated coordination.
Data Source
Figure 1~2
Figure 3
AI summary
An aggregator server for balancing a power grid, the aggregator server being configured to: - store information that a first mobile battery (43) will be connected to the power grid at a given time (T5); - receive a replacement request from a first communication device (45) corresponding to the first mobile battery (43); - provide the first communication device (45) with at least one replacement candidate; - receive a confirmation that a second mobile battery (44) of the at least one replacement candidate will be connected to the power grid at the given time (T5), instead of the first mobile battery (43).