Power Demand-Supply Management Server Optimizing Consumer Comfort and Bill Costs
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Solution Overview
Problem
Current power demand/supply management systems face challenges in minimizing comfort impact while achieving electricity savings for individual consumers and ensuring accurate demand suppression plans, particularly due to uncertainties in electricity consumption related to weather conditions and the need for precise forecasting.
Innovation Solution
A power demand/supply management server that simulates cost evaluation values for comfort and electricity bills, calculates control contents for electrical equipment to minimize cost, and distributes these controls to consumers, while ensuring a necessary demand suppression plan level based on daily load curves, thereby optimizing electricity unit meter-charges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation for adjusting electrical equipment is used during CPP events, then participants can control their own equipment, but the operation becomes bothersome and the power consumption suppression remains uncertain
Solution Approach 1:
The system enables automatic self-service control where the control device autonomously adjusts electrical equipment based on received control signals. The microcomputer automatically compares current time with predetermined control periods, determines control states, and executes control operations without requiring manual user intervention, thereby eliminating the bothersome manual operation while ensuring reliable power consumption suppression.
Solution Approach 2:
A control device acts as an intermediary between the utility company's CPP event signals and the electrical equipment. This control device receives control signals from the utility company, processes them through predetermined control logic, and automatically executes control operations on electrical equipment, thereby automating the entire process from signal delivery to equipment control.
2Loss of energy
If large level of suppression is performed to ensure electricity bill reduction effect, then the electricity bill reduction is ensured, but the user-friendliness and comfort become poor
Solution Approach 1:
The system applies different control states to different electrical equipment based on their individual characteristics and user preferences. The control device stores predetermined control periods and control states for each electrical equipment, allowing selective and differentiated control that minimizes impact on user comfort while achieving electricity bill reduction.
Solution Approach 2:
The control system dynamically adjusts electrical equipment operation based on real-time conditions. The microcomputer continuously compares current time with predetermined control periods and automatically changes control states accordingly, enabling flexible and adaptive power consumption management that responds to changing conditions while maintaining user comfort.
3Extent of automation
If CPP event compatible control logic is set beforehand, then the operation is automated and power consumption suppression is ensured, but it remains uncertain whether the suppression level and electricity bill reduction effect are as expected due to weather conditions
Solution Approach 1:
The control device stores predetermined control periods and control states for each electrical equipment in advance. When a CPP event occurs, the microcomputer automatically compares the current time with these predetermined control periods and executes the appropriate control operations without delay, ensuring accurate and timely power consumption suppression that accounts for weather conditions and other variables.
Data Source
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Figure 2
Figure 3A~3B
AI summary
A power demand/supply management server (10) obtains information defining restraint contents to a comfort and an electricity bill from a consumer power operating device (2). An individual-consumer control optimizing unit of the power demand/supply management server (10) calculates control contents to an electrical equipment having a minimum cost evaluation value based on a simulation result of cost evaluation values which are barometers for evaluating a comfort and an electricity bill excessiveness, and transmits the calculated control contents to the consumer power operating device (2). Also, a whole-consumer optimizing unit of the power demand/supply management server (10) calculates the most appropriate electricity unit meter-charge that ensures a necessary demand suppression plan level throughout the whole power system based on an electricity daily load curve for each consumer.