PV Energy Flow Control for Grid-Failure Load Management
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Solution Overview
Problem
Existing photovoltaic systems lack efficient energy management during disconnection from the power supply grid, necessitating improved handling of energy flows to ensure continued power supply to critical loads.
Innovation Solution
An energy management system with an energy flow manager that monitors and controls energy flows within a photovoltaic system, including automatic disconnection from the grid upon failure, provides user notifications, and offers recommendations for load handling through a user interface, utilizing data from various system entities to optimize power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the photovoltaic system is disconnected from the power supply grid during emergency operation mode, then the system can operate independently and supply power to local loads, but the energy management complexity increases and requires sophisticated control algorithms
Solution Approach 1:
The energy management system is segmented into distinct functional modules: a control algorithm module that runs on a processor, a user interface module for user interaction, and an energy flow manager module. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining reliability during grid disconnection.
Solution Approach 2:
The control algorithm performs preliminary actions by predicting future energy production from photovoltaic modules and energy consumption by loads before grid failure occurs. This predictive approach allows the system to pre-calculate optimal energy distribution strategies, reducing the complexity of real-time decision-making during emergency operation mode.
2Loss of information
If the system provides real-time recommendations for load handling during grid failure, then user awareness and control improve, but the computational load and processing time increase
Solution Approach 1:
The control algorithm performs preliminary calculations of energy production and consumption patterns before grid failure. By pre-processing this data and establishing baseline predictions, the system reduces the computational burden during emergency operation, enabling faster generation of user recommendations without sacrificing information quality.
Solution Approach 2:
The system implements a feedback mechanism where the user interface provides real-time information about current energy status, stored energy, and recommended load adjustments. This feedback loop allows users to make informed decisions quickly, reducing the need for complex iterative calculations and minimizing processing time while maintaining high information quality.
3Duration of action of moving object
If the system optimizes energy distribution to extend power supply duration, then the duration of action increases, but the device complexity and control requirements increase
Solution Approach 1:
The control algorithm performs preliminary predictions of energy production and consumption to determine optimal energy distribution strategies before grid failure. By pre-calculating these strategies based on historical data and current system state, the system extends power supply duration without requiring complex real-time adjustments during emergency operation.
Solution Approach 2:
The energy management system implements self-service through automated control algorithms that independently optimize energy distribution between loads and storage units. This self-service capability reduces the need for complex external control mechanisms while extending power supply duration through intelligent, autonomous energy management decisions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures continued power supply to essential loads by optimizing energy distribution and providing user-guided load management during grid failures, enhancing system resilience and efficiency.
Implementation Method 1
an inverter which is provided to convert a direct current (DC) power generated by photovoltaic modules of a photovoltaic array into alternating current (AC) power
Data Source
AI summary
An energy management system for managing an energy flow of a photovoltaic system comprising a user interface used to notify a user about an emergency operation mode of the photovoltaic system triggered by a power supply grid failure and to provide recommendations for the user with respect to a handling of power-consuming loads of a load network of the photovoltaic system during the power supply grid failure.