Information processing apparatus, information processing method, and information processing program

By prioritizing equipment capacity search based on descending order and adjusting search ranges, the method efficiently optimizes facility capacities in energy systems, addressing inefficiencies in conventional programming methods.

JP2026018277APending Publication Date: 2026-02-05KK TOSHIBA
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Patent Information

Application Number
JP2024119530
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-07-25
Publication Date
2026-02-05

AI Technical Summary

Technical Problem

Conventional methods for deriving optimal equipment capacity in energy systems, such as those using linear or integer programming solvers, face inefficiencies due to high computational burden and increased processing load as the number of supply facilities increases, making it difficult to derive optimal capacities efficiently.

Method used

An information processing device and method that prioritizes equipment capacity search based on descending order of priority, narrowing the search range as priority decreases, and repeatedly executes searches for tentative equipment capacities and introduction costs as the target energy introduction rate changes, using a processing unit to optimize facility capacities.

Benefits of technology

This approach enables efficient derivation of optimal equipment capacities by reducing computational complexity and processing time, facilitating quicker and more accurate determination of facility capacities in energy systems.

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Abstract

To support efficient derivation of an optimum facility capacity.SOLUTION: The information processor 10A includes a processing unit 20. The facility-capacity optimizing unit 20A of the processing unit 20 searches for the provisional facility capacities of the supplying facilities 32 in descending order of priority from a narrower search range as the priority becomes lower, based on the priority of the supplying facilities 32 that are included in the energy system 30 and supply energy, the input search range of the facility capacities, the number of searches, and the target energy introduction ratio of the energy system 30. The simulation execution unit 20B of the processing unit 20 derives the introduction cost of the supply facility 32 having the searched temporary facility volume and the energy introduction ratio of the energy system 30 including the supply facility 32 having the temporary facility volume every time the temporary facility volume is searched. The processing unit 20 repeatedly executes the search for the provisional facility capacity and the derivation of the introduction cost and the energy introduction rate every time the target energy introduction rate is changed.SELECTED DRAWING: Figure 1
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