Dynamic Load Prioritization With Energy Storage for LV/MV Networks
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Solution Overview
Problem
Existing strategies for managing generation and storage resources in low to medium voltage electrical networks are complex and require high computational efforts, making it difficult for industrial, commercial, and residential facilities to regulate their energy usage effectively for cost reduction, active demand programs, and greenhouse gas emission reduction.
Innovation Solution
A system that dynamically assigns priorities to loads and an energy storage system based on predicted energy usage and state of charge, using a controller to adjust load connections and energy storage operations, allowing for simple management without high computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complex strategies with high-powered computations are used to manage generation and storage resources, then energy management precision is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent changes the parameter of priority assignment from static to dynamic. The controller dynamically adjusts the priority of the energy storage system based on its state of charge and the predicted energy usage of the network. This allows simple computational logic to achieve adaptive energy management without requiring complex algorithms.
Solution Approach 2:
The energy storage system serves itself by automatically adjusting its operational priority based on its own state of charge. The system self-regulates whether to charge or discharge by comparing its state against thresholds, eliminating the need for complex external control computations.
2Adaptability or versatility
If dynamic priority assignment based on state of charge is implemented, then adaptability of energy storage system is improved, but control complexity increases
Solution Approach 1:
The patent makes the priority assignment dynamic rather than static. The controller continuously monitors the state of charge of the energy storage system and adjusts its priority level accordingly. This dynamic adjustment allows the system to adapt to changing conditions without requiring complex control algorithms, as the priority changes are based on simple threshold comparisons.
Solution Approach 2:
The priority parameter of the energy storage system is changed from a fixed value to a variable that depends on the state of charge. This parameter change enables the system to adapt its behavior based on its operational state, improving versatility while maintaining simple control logic through straightforward parameter adjustments.
Data Source
AI summary
A system for managing the load profile of an electric network is provided. The system includes: a plurality of loads, and each respective load of the plurality of loads is assigned a priority, an energy storage system, and a controller. The controller is configured to determine a predicted energy usage of the electric network at an end of a time period, based on comparing the predicted energy usage to a target energy usage, determine an adjustment of the plurality of loads based on the respective priority of each respective load. Based on the adjustment of the plurality of loads and a charge of the energy storage system, the controller dynamically assigns a priority to the energy storage system, and performs the adjustment of the plurality of loads and the energy storage system using the respective priority of each respective load and the dynamically assigned priority of the energy storage system.