Distributed Energy System Mode Regulation via Intelligent Terminals
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Solution Overview
Problem
The integration of multiple distributed energy systems into the power grid poses challenges in energy absorption and efficiency, requiring a method to regulate their operation modes in real-time to match target power and energy consumption.
Innovation Solution
A distributed energy system with energy intelligent terminals connected through a network, where a master node calculates and adjusts the operation modes of slave nodes to align with target power, using alternative operation modes and probability distributions to optimize energy input and output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple distributed energy systems are connected to the power grid, then energy supply diversity and user energy needs satisfaction are improved, but system stability and energy absorption efficiency deteriorate
Solution Approach 1:
The system divides the distributed energy network into master nodes and slave nodes, with each node independently calculating and adjusting its operation mode based on local conditions and system-wide targets, enabling decentralized control that maintains stability while accommodating diversity
Solution Approach 2:
The system dynamically adjusts operation modes in real-time based on changing energy consumption targets and system state, allowing the network to adapt to varying conditions while maintaining overall stability through continuous optimization
2Adaptability or versatility
If multiple distributed energy systems are connected to the power grid, then energy supply diversity and user energy needs satisfaction are improved, but energy absorption efficiency deteriorates
Solution Approach 1:
The system implements feedback control where each node calculates the error between current and target energy consumption, then adjusts operation modes iteratively to minimize this error, improving energy absorption efficiency while maintaining system diversity
Solution Approach 2:
The system changes operational parameters (operation modes) of individual energy terminals based on calculated errors and probability distributions, optimizing energy absorption efficiency through parameter adjustment without requiring centralized control
3Productivity
If real-time regulation of operation modes is implemented, then energy absorption and system efficiency are improved, but control complexity increases
Solution Approach 1:
Each energy terminal autonomously calculates its optimal operation mode based on system targets and local conditions, performing self-adjustment without requiring complex centralized control, thereby improving efficiency while keeping control architecture simple
4Measurement precision
If iterative adjustment of operation modes is performed, then accuracy in matching target power is improved, but time consumption increases
Solution Approach 1:
The system performs iterative adjustments only when the error between current and target power exceeds a threshold, avoiding unnecessary iterations and reducing time consumption while maintaining sufficient accuracy for practical applications
Data Source
AI summary
A distributed energy system, an energy intelligent terminal, and a control method thereof are disclosed. It determines an error between the sum of initial random external input power that can be assumed by each of all the energy intelligent terminals and target power, updates the alternative operation mode for each energy intelligent terminal in an iterative manner when the error satisfies an iteration start condition until an iteration exit condition being satisfied, and determines the alternative operation mode for each energy intelligent terminal in the final iteration period as the operation mode for next duty cycle so as to regulate operation mode of the distributed energy system in real time according to the target power and energy consumption power of load to which each energy intelligent terminal corresponds. The distributed energy system has ad hoc network capability with the characteristics of fast deployment and plug and play terminals.


