Reserve Resource Classification for Short- and Long-Period Grid Adjustment
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Solution Overview
Problem
Existing techniques face challenges in creating a state transition probability model for simulating the operation states of distributed resources with high accuracy, particularly when incorporating electricity storage devices that travel at random times as reserves.
Innovation Solution
A computer system classifies resources as first or second resources based on rated charging power, prioritizing first resources for short-period reserve requests and second resources for long-period requests, enabling accurate selection and control of electricity storage devices for reserve management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a state transition probability model is used to simulate operation states of distributed resources, then the reserve estimation can be performed, but it is difficult to create the model with high accuracy and the technique faces difficulty when resources travel at random times
Solution Approach 1:
The patent segments the resources into two distinct categories: first resources (stationary resources that can reliably act as reserves) and second resources (mobile resources that travel at random times). This segmentation allows the system to avoid creating complex state transition probability models for all resources, while still performing reserve estimation by focusing on the stationary resources that can reliably provide reserve capacity.
Solution Approach 2:
The patent extracts mobile resources from the reserve selection process entirely, recognizing that their random travel patterns make them unsuitable for reliable reserve provision. By taking out these problematic resources from the model creation process, the system avoids the complexity of creating accurate state transition probability models for mobile units while still utilizing them for other purposes.
2Adaptability or versatility
If resources with higher rated charging power are selected for reserve requests, then the range of electricity adjustment is wider, but the number of resources needed increases for short-period requests
Solution Approach 1:
The patent applies local quality by assigning different characteristics to different resource categories: first resources (stationary) are optimized for quick response and fine adjustment with smaller capacity, while second resources (mobile) are optimized for wide adjustment range with larger capacity. This allows the system to match resource characteristics to specific reserve request requirements, avoiding the need to use large-capacity resources for all scenarios.
Solution Approach 2:
The patent uses partial action by selecting only the necessary portion of resource capacity for each reserve request. For short-period requests, it uses first resources with just enough capacity for fine adjustment. For long-period requests, it uses second resources with larger capacity. This avoids the excess of deploying oversized resources for small adjustments or deploying too many small resources when large adjustments are needed.
3Productivity
If resources are classified by rated charging power, then the selection process becomes more efficient, but the system complexity increases due to classification requirements
Solution Approach 1:
The patent uses parameter changes by classifying resources based on a single key parameter: mobility status (stationary vs. mobile). This simple binary classification, rather than complex multi-dimensional categorization, enables efficient resource selection while minimizing system complexity. The classification is based on whether the resource can reliably remain at a charging location, which is a fundamental parameter determining reserve capability.
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 higher 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.