Grid Control Center Preventing Backward Feed via Power Optimization
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Solution Overview
Problem
Existing control systems for electrical energy transmission grids face challenges in preventing malfunctions caused by backward feed from distribution grids, particularly due to increased generation from renewable sources, which can affect the stability of the higher-level transport grid.
Innovation Solution
A method and control center arrangement that sets target values for real and reactive power at transfer points between the distribution and transport grids, using optimization calculations to adjust controllable devices such as transformers and capacitors to maintain these values, thereby preventing backward feed and ensuring grid stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If renewable energy generation from distributed sources is increased in the distribution grid, then energy supply diversity and sustainability are improved, but backward feed into the transport grid increases causing malfunctions and stability issues
Solution Approach 1:
The control center arrangement performs preliminary actions by setting target values for real and reactive power at transfer points before backward feed issues occur. The system proactively monitors power flows and adjusts controllable operating devices in advance to prevent malfunctions in the transport grid, rather than reacting after problems arise.
Solution Approach 2:
The system implements continuous feedback by comparing current power values at transfer points against predetermined target values. Based on this feedback, the control center dynamically adjusts operating devices in the distribution grid to maintain power flows within safe limits and prevent backward feed into the transport grid.
2Reliability
If target value control and optimization calculations are implemented at the control center, then backward feed prevention and grid stability are improved, but control system complexity increases
Solution Approach 1:
The control center arrangement acts as an intermediary between the distribution grid and transport grid. It receives information from both grids, performs optimization calculations to determine appropriate target values, and issues control commands to operating devices. This intermediary function simplifies the overall system by centralizing control intelligence rather than requiring complex distributed control across all devices.
Solution Approach 2:
The system manages complexity by focusing control efforts on key parameters - specifically real power and reactive power target values at transfer points. By monitoring and controlling these critical parameters rather than every individual device parameter, the system achieves grid stability with manageable control complexity.
3Manufacturing precision
If real-time monitoring and optimization of power values is performed, then voltage band violations are reduced and operating parameters are optimized, but computational requirements and processing time increase
Solution Approach 1:
The optimization process focuses computational resources on local quality by concentrating monitoring and control efforts specifically at transfer points between distribution and transport grids. Rather than optimizing every location in the entire grid simultaneously, the system applies intensive optimization locally at critical interfaces where backward feed risks occur, achieving high precision where it matters most.
Data Source
AI summary
An electrical energy distribution grid is controlled by a control center. Power target values for the real power and reactive power at a transfer point between the energy distribution grid and an electrical energy transport grid are prescribed by a target value device. The target values are to avoid backward feed into the energy transport grid that could lead to malfunctions. The real and reactive power target values are compared with current values at the transfer point. When a deviation of the actual values is determined, an optimization calculation is effected for the real power value and the reactive power value in the energy distribution grid to reduce or remove the deviation. The optimization generates switching commands for controllable operating devices, and a control device transmits the switching commands to the operating devices. There is also described a control center arrangement and a corresponding computer program product.