Distributed Energy System Master Node Control for Grid Stability
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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 enhance stability and efficiency.
Innovation Solution
A distributed energy system with energy intelligent terminals connected through a network, where a master node controls each terminal to set operation modes based on alternative modes, updating and regulating mode probability distributions to minimize external input power changes, allowing for real-time energy absorption and efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple distributed energy systems are connected to the power grid, then energy supply versatility is improved, but system stability deteriorates due to unregulated operation modes
Solution Approach 1:
The patent implements a master-node-based feedback control system where the master node receives operation mode information from multiple distributed energy terminals, calculates optimal operation modes based on system state, and sends control instructions back to terminals. This closed-loop feedback mechanism regulates terminal operations in real-time, ensuring system stability while maintaining the versatility of multiple energy sources.
Solution Approach 2:
The system dynamically changes operation mode parameters based on real-time system conditions. The master node calculates optimal operation modes by adjusting parameters such as power output levels and terminal states, allowing the system to adapt to varying energy demands and maintain stability across diverse distributed energy configurations.
2Productivity
If distributed energy terminals operate independently with multiple operation modes, then energy absorption capability is improved, but control complexity increases
Solution Approach 1:
The patent segments the distributed energy system into a master node and multiple terminal nodes, each with simplified local control logic. Terminals independently select from predefined operation modes based on their local state (charging/discharging), while the master node handles centralized coordination. This segmentation reduces individual terminal complexity while maintaining overall system capability.
Solution Approach 2:
Each distributed energy terminal autonomously determines its operation mode based on its current state (charging or discharging) and the master node's instructions, without requiring complex centralized control for each terminal. This self-service approach allows terminals to independently contribute to energy absorption while simplifying the control architecture.
3Productivity
If operation modes are regulated in real-time, then system efficiency is improved, but computational requirements increase
Solution Approach 1:
The master node calculates optimal operation modes for all terminals but implements changes selectively based on system needs. Not all terminals require mode changes in every control cycle, allowing the system to achieve efficiency improvements through partial regulation rather than exhaustive real-time optimization of every terminal, thus reducing computational burden.
Solution Approach 2:
The system pre-defines a set of discrete operation modes for each terminal (e.g., charging, discharging, idle states) before real-time control begins. During operation, the master node only needs to select from these predefined modes rather than calculating continuous optimal parameters, significantly reducing computational requirements while maintaining real-time regulation capability.
Data Source
AI summary
The present disclosure discloses a distributed energy system, an energy intelligent terminal, and a control method thereof. The energy intelligent terminal determined as the master node controls each energy intelligent terminal in the distributed energy system to set calculation for operation mode in an enabled state when target power changes or a new duty cycle is started at the end of current duty cycle, so as to make each energy intelligent terminal determine an operation mode for the next duty cycle form a corresponding set of alternative operation modes. The operation mode of the distributed energy system can be regulated in real time. The regulating method is simple and improves the efficient and stability of the distributed energy system. Moreover, the distributed energy system according to the embodiments of the present disclosure has ad hoc network capability with the characteristics of fast deployment and plug and play terminals.