HVDC DC Loop Impedance Modeling for Resonance-Stable Design
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Solution Overview
Problem
The existing methods for designing DC loop impedance in HVDC transmission projects are inefficient and lack accuracy, requiring extensive engineering experience and lengthy simulation times, which can lead to resonance issues and instability in the power grid.
Innovation Solution
A method and system that establish an impedance model for the HVDC system, scan parameters to determine a feasible region, and use mathematical equations to calculate optimal impedance values, eliminating the need for manual iteration and electromagnetic transient simulations, employing algorithms like particle or genetic evolutionary algorithms for parameter selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual iteration method is used to design DC loop impedance, then resonance risk can be avoided, but design efficiency is low and time consumption is high
Solution Approach 1:
The patent replaces the manual mechanical iteration process with an automated computer-based system. The impedance model and parameter scanning are performed automatically through computational algorithms, eliminating the need for manual simulation and iteration while maintaining resonance avoidance capability.
Solution Approach 2:
The patent systematically varies and scans parameters within defined feasible regions to find optimal values. By transforming the impedance model into a parameterized form and using eigenvalue or impedance analysis methods to scan parameter spaces, the system automatically identifies parameter combinations that avoid resonance while optimizing design efficiency.
2Reliability
If manual iteration method is used to design DC loop impedance, then resonance risk can be avoided, but simulation time is lengthy
Solution Approach 1:
The patent performs preliminary analysis by establishing the impedance model and determining feasible parameter regions before actual design optimization. By pre-defining the search space and using eigenvalue analysis to identify stable parameter regions, the system reduces the time required for iterative simulations during the design process.
Solution Approach 2:
The patent replaces time-consuming manual electromagnetic transient simulations with a computational impedance model approach. The model uses algebraic equations and parameter scanning instead of full-time-domain simulations, dramatically reducing computation time while maintaining accuracy in resonance assessment.
3Manufacturing precision
If manual iteration method is used to design DC loop impedance, then design accuracy can be achieved, but engineering experience dependency is high
Solution Approach 1:
The patent enables the design system to perform self-optimization through automated parameter scanning and feasibility analysis. The computer-based system independently evaluates parameter combinations against the impedance model and stability criteria, eliminating dependency on external expert judgment while maintaining design accuracy through systematic exploration of the parameter space.
Solution Approach 2:
The patent implements automated feedback loops where the impedance model continuously evaluates parameter combinations and provides guidance for optimization. The system uses eigenvalue analysis and impedance criteria to feedback on parameter feasibility, automatically adjusting and refining parameter selections without requiring external expert intervention.
Data Source
AI summary
A method and a system for determining a direct current (DC) loop impedance are provided. The method includes: establishing an impedance model for a DC loop of a high-voltage direct current (HVDC) system; scanning parameters in the HVDC system based on the impedance model, to obtain a feasible region of each of the parameters; substituting, for each of the parameters, the parameter in the feasible region into a DC loop impedance equation, to obtain an impedance corresponding to the parameter, the DC loop impedance equation being obtained by transforming the impedance model; and comparing, for each of the parameters, the impedance corresponding to the parameter with a target impedance value, and determining the impedance that meets the target impedance value and the parameter corresponding to the impedance as an optimal impedance and an optimal parameter of the DC loop.