Hierarchical Energy Management Reducing Computational Load
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Solution Overview
Problem
The load of management for conventional energy management apparatuses increases with the number of objects being managed, leading to difficulties in outputting suitable operation patterns, which can result in suboptimal operation at the level of each object.
Innovation Solution
An energy management apparatus that reduces its load by allowing objects of management to determine their own operation patterns based on given control times and energy interchange amounts, using information about their states and planned operations to optimize energy management, including the use of specific expressions to calculate control times and energy interchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the energy management apparatus determines the operation pattern for each object of management, then the optimum operation at the object level can be assured, but the load of the energy management apparatus increases with the number of objects
Solution Approach 1:
The patent divides the energy management system into hierarchical levels: a higher-level energy management apparatus that sets control times and energy interchange amounts, and lower-level objects of management that independently determine their own operation patterns. This segmentation reduces the computational load on the higher-level apparatus while ensuring optimal operation at each object level through autonomous decision-making within constrained parameters.
2Adaptability or versatility
If the energy management apparatus manages more objects of management, then the overall energy management coverage increases, but the difficulty of outputting suitable operation patterns increases
Solution Approach 1:
Each object of management autonomously determines its own operation pattern based on control times and energy interchange amounts provided by the higher-level apparatus. This self-service approach allows the system to scale to manage more objects without proportionally increasing the complexity of operation pattern determination, as each object independently optimizes its own operation within the given constraints.
Data Source
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AI summary
There is provided a technique applied to an energy management apparatus to reduce the load of the energy management apparatus and to assure optimum operation at the level of each object of management. The object of management that is an object to be managed by the energy management apparatus is one or more devices or one or more units comprising a plurality of devices and another energy management apparatus configured to manage energies of the plurality of devices. The energy management apparatus manages the energy of the object of management and gives a command with regard to a control time of the object of management and an amount of energy interchange in the control time, to the object of management.