Electricity Reserve Selection by Charging Power and Adjustment Period
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Solution Overview
Problem
Existing techniques face challenges in accurately simulating the time distribution of operation states of distributed resources and effectively utilizing electricity storage devices as reserves, particularly when resources travel at random times.
Innovation Solution
A computer system is configured to manage resources by classifying them into first and second resources based on charging power, prioritizing resource selection for reserve requests, and implementing a method to select resources that can adjust electricity storage accordingly to ensure accurate and efficient reserve management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resources are selected without classification based on charging power, then the selection process is simple, but the accuracy of selecting appropriate resources for reserve requests is reduced
Solution Approach 1:
The patent segments resources into two categories (first resources with higher rated charging power and second resources with lower rated charging power) based on their charging capabilities. This segmentation enables differentiated selection strategies for different reserve request types, improving selection accuracy without requiring complex individual evaluation of each resource's characteristics.
2Reliability
If first resources with higher rated charging power are selected for long adjustment period requests, then the reserve capacity is sufficient, but the likelihood of resource dropout increases
Solution Approach 1:
The patent changes the selection parameter based on the adjustment period length. For long adjustment period reserve requests, it prioritizes second resources with lower rated charging power but higher reliability (lower dropout likelihood). For short adjustment period requests, it prioritizes first resources with higher rated charging power. This dynamic parameter adjustment optimizes both reliability and completion rates for different scenarios.
3Object-affected harmful factors
If second resources with lower rated charging power are selected, then the dropout impact is minimized, but the reserve capacity may be insufficient for large reserve requests
Solution Approach 1:
The patent implements a dynamic selection approach where the resource type priority is adjusted based on the reserve request characteristics. For long adjustment period requests, second resources are prioritized to minimize dropout impact. For short adjustment period requests or when additional capacity is needed, first resources are prioritized. This dynamic switching allows the system to optimize between dropout impact and total reserve capacity based on real-time requirements.
Data Source
AI summary
A computer executes resource classification and resource selection. In the resource classification, each of a plurality of resources is classified as a first resource or a second resource having lower rated charging power than the first resource. In the resource selection, resources to act as reserves are selected for a reserve request from among the plurality of resources. In the resource selection for a first reserve request, the computer selects resources corresponding to the first resource with priority over resources corresponding to the second resource, and in the resource selection for a second reserve request, the computer selects resources corresponding to the second resource with priority over resources corresponding to the first resource. An adjustment period of the second reserve request is longer than an adjustment period of the first reserve request.