Electromechanical simulation modeling method, system and medium for converters in electrochemical energy storage power stations
By optimizing the parameters of the converter electromechanical simulation model using the particle swarm optimization algorithm, the problem of accuracy in the simulation analysis of electrochemical energy storage power stations in the power grid is solved, and efficient power response characteristic modeling is achieved, which is suitable for power grid calculation and analysis.
CN115292847BActive Publication Date: 2026-05-26STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED +2
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED
- Filing Date
- 2022-08-16
- Publication Date
- 2026-05-26
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Figure CN115292847B_ABST
Abstract
This invention discloses a method, system, and medium for electromechanical simulation modeling of converters in electrochemical energy storage power stations. The method includes establishing an electromechanical simulation model of the converter; determining the parameters to be optimized based on the model; using the overshoot, response time, and settling time of the model under different parameters as fitness functions; using the parameters to be optimized as particles in a particle swarm optimization (PSO) algorithm; performing iterative optimization using PSO; and outputting the particle with the lowest fitness as the optimal parameter. This invention targets modeling and analysis applications, focusing on the power response characteristics of energy storage power stations after grid connection. By extracting the overshoot, response time, and settling time of the power response as indicators to construct a fitness function, and combining field measurements with simulation comparisons of the converter electromechanical simulation model, a highly accurate electromechanical simulation of an energy storage power station can be conveniently and quickly established for computational analysis of energy storage grid integration.
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