Hierarchical Energy Controller for Scalable Smart Grid Optimization
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Solution Overview
Problem
Existing ubiquitous energy networks lack a stable and flexible architecture for optimized energy distribution and utilization, as they rely on flat network structures that are not adaptable to user requirements and fail to provide coordinated control across energy systems.
Innovation Solution
A system energy efficiency controller with a control decision module, storage module, power clock module, internal communication module, and external communication module, which establishes a four-stage model for energy generation, storage, utilization, and regeneration, enabling bidirectional communication and real-time optimization across these stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a flat network structure is used to connect objects, then the Internet of Things coverage is achieved, but the network structure becomes large and complicated, making it impossible to change system scale according to user requirements
Solution Approach 1:
The patent divides the flat Internet of Things network into hierarchical segments: terminal devices, gateway devices, and cloud platforms. Each segment performs specific functions independently, allowing the system to scale flexibly by adding or removing segments without reconfiguring the entire network, thus reducing overall network complexity while maintaining adaptability.
Solution Approach 2:
The patent introduces a hierarchical dimension to the previously flat network structure. By organizing devices into multiple layers (terminal, gateway, cloud) with different functional responsibilities, the system achieves scalable adaptability without proportionally increasing network complexity, as each hierarchical level manages a specific scope of operations.
2Productivity
If the Smart Planet scheme is implemented with Internet of Things integration, then object connections are realized, but overall optimization and coordinated control on energy systems cannot be achieved
Solution Approach 1:
The patent introduces gateway devices as intermediaries between terminal energy devices and the cloud platform. These gateways perform local energy management, data preprocessing, and coordinated control functions, enabling overall energy system optimization without requiring direct complex connections between all terminal devices, thus achieving productivity improvement without proportional complexity increase.
Solution Approach 2:
The patent implements preliminary energy management and optimization actions at the gateway level before data reaches the cloud platform. By performing local coordination, aggregation, and preliminary optimization, the system achieves comprehensive energy system optimization without the cloud platform needing to directly manage every terminal device, reducing control system complexity.
3Loss of energy
If distributed energy optimization is implemented across multiple terminal devices, then energy efficiency is improved, but the lack of defined functional cooperation modes prevents stable and flexible network architecture
Solution Approach 1:
The patent defines specific functional parameters and communication protocols for each device type in the hierarchy. Terminal devices report energy data using standardized parameters, gateways aggregate and process data according to defined functional modes, and the cloud platform performs optimization based on established cooperation protocols. This parameter standardization enables distributed energy optimization while ensuring network architecture stability through predictable, reliable interactions.
Data Source
AI summary
A system energy efficiency controller in a smart energy network, a control method thereof, and a control method for a terminal device. The system energy efficiency controller includes a control decision module, a storage module, a power clock module, an internal communication module, and an external communication module. The storage module is connected to the control decision module, and stores temporary and permanent information data in the operation process of the storage system. The power clock module provides an internal clock, achieving timing synchronization of processors on the controller. The internal communication module provides two-way communication between the system energy efficiency controller and control implementation units of multiple terminal devices. The external communication module provides two-way communication between the system energy efficiency controller and a local optimizer. The multiple terminal devices include at least one of the terminal devices for the stages of energy production, storage, application and regeneration.