HEMS Control Device for PV Power Prediction and Sales Optimization
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Solution Overview
Problem
Current home energy management systems fail to intuitively provide usage information of power supplied from photovoltaic (PV) modules to users, leading to inefficient utilization and missed benefits, and lack sufficient storage capacity, resulting in surplus power being wasted or sold at low prices. Additionally, they do not effectively handle situations where actual PV power generation falls short of predictions.
Innovation Solution
A control device that predicts PV power generation and consumption, calculates the amount of PV power to be sold, and automatically adjusts by using stored energy or purchasing power when generation falls short, while providing users with intuitive profit information and optimizing power transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the home energy management system provides detailed power usage information, then the user can better understand power consumption patterns, but the system complexity increases
Solution Approach 1:
The power usage information is segmented into different categories (PV power usage, grid power usage, surplus power, etc.) and presented through a user terminal interface. This segmentation allows comprehensive information provision without increasing system complexity, as each category is handled independently through modular information presentation.
2Quantity of substance
If the storage device capacity is increased to store surplus PV power, then more power can be stored for later use, but the device complexity and cost increase
Solution Approach 1:
The system dynamically adjusts the storage device capacity based on actual PV power generation and consumption patterns. Rather than providing a fixed large capacity storage device, the system monitors power flow in real-time and adjusts charging/discharging operations accordingly, allowing flexible power storage without requiring oversized storage infrastructure.
Solution Approach 2:
The system changes operational parameters (charging rate, discharging rate, storage capacity allocation) based on real-time conditions such as PV generation amount, consumption patterns, and electricity prices. This allows the storage system to adapt to varying conditions without requiring a permanently oversized storage device.
3Ease of operation
If the system automatically calculates and manages PV power transactions, then user convenience is improved, but the control device complexity increases
Solution Approach 1:
The control device automatically performs power transaction calculations, surplus power identification, and trading operations without requiring direct user intervention. The system self-manages the complex calculations and decision-making processes, providing user convenience while containing complexity within the automated control system rather than requiring complex user-side operations.
4Productivity
If the system actively manages power transactions and surplus power utilization, then power utilization efficiency is improved, but the control complexity increases
Solution Approach 1:
The system implements continuous feedback loops that monitor PV power generation, consumption patterns, storage status, and market conditions. This feedback enables automatic adjustment of power transaction strategies and surplus power utilization, improving overall efficiency while managing control complexity through automated closed-loop control rather than complex open-loop management.
Data Source
AI summary
Provided is a control device of a home energy management system (HEMS). The control device includes a communication unit configured to connect to a HEMS gateway, a storage unit configured to store power usage information for a predetermined period in a home in which the HEMS gateway is installed, and a control unit configured to predict power consumption amount on the basis of the power usage information for the predetermined period, predict a power generation amount of a photovoltaic (PV) module connected to the HEMS gateway, calculate a PV power amount to be sold on the basis of the predicted power generation amount and power consumption amount, set sales price with respect to the calculated power amount on the basis of purchase information of purchasers, and control the HEMS so that sale power corresponding to the calculated power amount is provided on the basis of the set sales price.