Predictive Home Power Distribution for Battery Charging Deadlines
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Solution Overview
Problem
The increasing use of private power plants and electrical vehicles/batteries leads to higher overall energy consumption, necessitating a strategy to maximize the use of private power plants and reduce costs by optimizing power distribution between households and receiving units like batteries or power grids.
Innovation Solution
A power management system that includes a control unit to distribute power generated by a private power plant efficiently between a household and a receiving unit, using prediction data and condition requirements to maximize the use of private power generation, minimize grid power usage, and optimize costs through self-adjustment and remote data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If electrical power from power grid is used to supply household and receiving unit, then power consumption requirements are met, but cost increases and ecological performance deteriorates
Solution Approach 1:
The control unit performs preliminary actions by predicting future power generation from the private power plant and pre-planning power distribution strategies. It calculates optimal charging times for the receiving unit and schedules power consumption for household appliances in advance, ensuring maximum utilization of self-generated power before grid power is needed.
Solution Approach 2:
The system dynamically adjusts power distribution strategies based on real-time conditions and predictions. The control unit continuously monitors power generation, consumption patterns, and receiving unit status, adapting the power allocation between household and receiving unit to maximize renewable energy usage while meeting all power requirements.
2Productivity
If power is distributed to receiving unit first, then private power plant utilization increases, but household power supply may be insufficient
Solution Approach 1:
The control unit dynamically balances power distribution between household and receiving unit based on predicted power generation, current consumption rates, and future requirements. It continuously adjusts allocation ratios to ensure household power supply reliability while maximizing private power plant utilization, shifting strategies as conditions change.
Solution Approach 2:
The system implements feedback mechanisms where the control unit monitors actual power consumption, generation, and receiving unit charging status. Based on this feedback, it refines predictions and adjusts power distribution in real-time, ensuring that household power supply requirements are always met while optimizing renewable energy usage.
3Loss of energy
If power distribution is optimized using prediction data and control algorithms, then cost and ecological performance improve, but system complexity increases
Solution Approach 1:
The control unit serves multiple functions: it predicts power generation, monitors consumption, calculates optimal distribution strategies, controls power flow allocation, and adjusts receiving unit charging. By consolidating these diverse functions into a single multi-functional controller, the system achieves optimization without proportionally increasing complexity.
Solution Approach 2:
The system performs self-service through automated prediction, calculation, and control operations. The control unit independently analyzes prediction data, determines optimal power distribution strategies, and executes adjustments without requiring manual intervention, reducing operational complexity while maintaining sophisticated optimization capabilities.
Data Source
AI summary
A power management system, comprises a power generating unit, a power output unit to distribute the electrical power generated by the power generating unit to a household and to a receiving unit, different from the household, wherein the receiving unit is a battery and/or a power grid, a grid power output unit to output electrical power supplied from a power grid to the household and/or to the receiving unit, a condition requirement setting unit to receive condition requirement data and a time period after which the receiving unit has to satisfy the required condition, a prediction data input unit to receive prediction data that indicates a prediction of the electrical power generated by the power generating unit over the time period, a control unit that is adapted to receive the condition requirement data from the condition requirement setting unit and the prediction data from the prediction data input unit.