Intelligent Energy Management Network for Cost-Optimized Power Selection
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Solution Overview
Problem
The existing power system faces challenges in efficiently managing energy and selecting power supply sources with minimum costs and highest energy efficiency, failing to address global warming, energy price fluctuations, and unstable electricity supply.
Innovation Solution
A network system with energy supply, metering, and management parts that communicate to select power supply sources based on priority, utilizing multiple sources including power plants and self-generated energy, allowing for real-time energy management and prediction of consumption patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a vertical and centralized network system is used, then power supply control is simplified, but energy management efficiency deteriorates
Solution Approach 1:
The patent segments the centralized power system into distributed intelligent devices at consumer premises that can independently manage and control power consumption, while still being part of the overall network. This allows local energy management decisions to be made autonomously, improving energy management efficiency while maintaining simplified control through the distributed architecture.
2Loss of energy
If multiple power supply sources are available, then energy efficiency can be improved, but system complexity increases
Solution Approach 1:
The intelligent device at the consumer premise automatically manages multiple power supply sources by autonomously selecting the most energy-efficient source based on real-time conditions. The system self-regulates without requiring complex external control mechanisms, thereby improving energy efficiency while keeping the control architecture relatively simple through decentralized intelligence.
3Measurement precision
If real-time energy information is collected from multiple sources, then power supply selection accuracy is improved, but information processing complexity increases
Solution Approach 1:
The intelligent device pre-establishes communication channels and data collection mechanisms with multiple power supply sources, continuously gathering energy information in advance. By having this information readily available through pre-configured communication infrastructure, the system can make accurate real-time selections without requiring complex on-demand information processing.
Data Source
AI summary
Provided are a network system and a method of controlling the same. The network system includes an energy supply part including a plurality of power supply sources, an energy metering part communicating with the plurality of power supply sources, the energy metering measuring energy supplied from the plurality of power supply sources, an energy management part receiving energy-related information supplied from the energy supply part, and an energy consumption part consuming power supplied from the energy supply part, the energy consumption part being operable and controllable by the energy management part. At least one power supply source of the plurality of power supply sources is selected according to an order of priority of a power supply, based on energy information related to the plurality of power supply sources. Thus, the power supply source having minimum costs is selected to efficiently manage energy within an intellectual power supply network.