Power Control Device for Dynamic Energy Management
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Solution Overview
Problem
Existing systems lack the ability to dynamically and appropriately control power consumption in smart houses and vending machines based on real-time power supply and demand situations, leading to inefficiencies in energy usage and increased costs.
Innovation Solution
A control device and method that receives power consumption information and demand control information from power supply sources to dynamically adjust the operation of power control targets, such as vending machines, by controlling the use of storage batteries and power generators, and optimizing energy usage based on time-of-use pricing and demand response signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing control systems use time-of-use pricing information and power generation information to determine operation schedules, then energy efficiency is improved, but the systems lack real-time responsiveness to dynamic power supply and demand situations
Solution Approach 1:
The control device dynamically adjusts the operation schedule of power control targets based on real-time power consumption information and demand control information. The system transitions from static time-of-use pricing-based scheduling to dynamic real-time control that adapts to changing power supply and demand conditions, ensuring both energy efficiency and responsiveness.
Solution Approach 2:
The control device receives power consumption information from power control targets and demand control information from power supply sources, processing this feedback information to generate optimized operation schedules. This closed-loop feedback mechanism enables real-time adjustment while maintaining energy efficiency through continuous optimization based on actual system state.
2Use of energy by moving object
If vending machines perform peak shaving operation by stopping refrigerator temperature adjustment, then power consumption is reduced, but temperature control reliability deteriorates
Solution Approach 1:
The control device determines optimized operation schedules in advance that anticipate peak demand periods. By pre-planning temperature adjustments and power usage patterns based on forecasted demand control information, the system reduces peak power consumption while ensuring temperature reliability through proactive rather than reactive control.
Solution Approach 2:
The system adjusts operational parameters such as temperature setpoints and compressor run cycles based on real-time power consumption information and demand control information. These parameter changes enable the vending machine to reduce power consumption during peak periods while maintaining temperature control within acceptable ranges through optimized control strategies.
3Loss of energy
If storage batteries are charged during low power consumption periods, then energy cost is reduced, but the system complexity increases
Solution Approach 1:
The control device serves multiple functions: receiving power consumption information from power control targets, acquiring demand control information from power supply sources, determining optimized operation schedules, and controlling power control targets. This multi-functional approach consolidates system complexity into a single control device while enabling energy cost reduction through strategic battery charging during low-cost periods.
Data Source
AI summary
A control device (100) includes a communication unit (102) which receives power consumption information of a power control target from an electric energy meter, an acquisition unit (104) which acquires demand control information from at least one power supply source, and a control unit (106) which controls operation of the power control target based on the power consumption information and the demand control information.