Subdivision Analysis for Load Zones Optimization

This project aims to subdivide existing load zones to enhance aggregations and SCED clearing processes. Criteria for subdivision, determining the number of new zones, and clustering based on pricing are addressed. A study will be conducted to subdivide existing zones into 3, 4, and 5 new zones, cluster them based on pricing, and present results for approval.

• Load Zones
• Subdivision Analysis
• Aggregations
• SCED Clearing
• Pricing Clustering

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Uploaded on Aug 14, 2024 | 0 Views

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1. Creation of New Load Zones CMWG 7/18/22

2. Existing Load Zones

3. Establish Criteria to Subdivide Existing Zones GOALS : To create zones such that: Aggregations can meaningfully exist (larger the better) SCED can clear the aggregation correctly in regard to constraint impacts (smaller the better) Considerations New zones must be subdivisions of existing load zones Will allow existing LZ settlement values to be calculated All load will be settled against the new load zone values Should NOIE LZs be included?

4. Subdivide all existing zones into the same number of new zones? If not, how do we choose an effective number? Is there a minimum load level needed in any new zone? Cluster around shift factor relationship to historic constraints? Cluster around historic pricing to approximate shift factor correlations to potential constraints? Using price will organically include time and price weight components Using price can incorrectly correlate nodes when multiple constraints are present Cluster around shift factor relationship to anticipated future constraints? Other? Choices

5. Create a study Subdivide the existing zones into 3, 4, and 5 new zones Cluster the new zones based on price Present the results of each existing zone showing: Color graphic of the new load zone options (3, 4 or 5) Resulting load in each new zone Statistical correlation of the pricing for the new zones Make a recommendation for WMS/TAC/Board approval Once approved draft NPRR to affect change Proposal

6. Questions