EV Power Demand Monitoring for Abnormality Response Continuity
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Solution Overview
Problem
Existing electric power supply and demand control systems using electric transportation devices lack continuity in service due to potential abnormalities such as failures, cyber attacks, or operational issues in constituent elements like EVs, EVSEs, and buildings.
Innovation Solution
A monitoring device that collects and analyzes information from various entities in the system to detect abnormalities and performs control or notification to mitigate these issues, ensuring service continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a power supply and demand control service using EVs is implemented, then peak power cuts are achieved, but service continuity is compromised when abnormalities occur in constituent elements
Solution Approach 1:
The monitoring device performs preliminary actions by continuously collecting information from all constituent elements (EVs, EVSEs, buildings) and detecting abnormalities before they cause service disruption. The system proactively identifies potential issues through predetermined analysis methods and takes preventive control actions or notifications, ensuring service continuity without waiting for actual failures to occur.
Solution Approach 2:
The monitoring device establishes a feedback loop by continuously collecting status information from constituent elements, analyzing this data to detect abnormalities, and responding with control actions or notifications. This closed-loop feedback mechanism enables real-time monitoring and response, maintaining service reliability while managing system complexity through automated information processing.
2Measurement precision
If comprehensive monitoring of all constituent elements is implemented, then abnormality detection capability is improved, but information processing load increases
Solution Approach 1:
The monitoring device extracts only the necessary predetermined information from each constituent element that is relevant for detecting abnormalities. Rather than processing all possible data from EVs, EVSEs, and buildings, the system selectively collects specific parameters and uses predetermined analysis methods to identify abnormalities, reducing information processing volume while maintaining detection accuracy.
Data Source
AI summary
A monitoring device according to an embodiment includes a collection part configured to collect predetermined information from each entity constituting an electric power supply and demand control service using an electric transportation device; an analysis part configured to detect occurrence of an abnormality in the entity through a predetermined analysis using the information collected using the collection part; and a handling part which performs control or notification to deal with the abnormality when the abnormality occurrence is detected.