Moth flame optimization algorithm suitable for online parameter identification of LCL type grid-connected inverter

The invention is mainly applied to a grid-connected inverter with filter parameter mismatch caused by temperature, device aging and the like, and provides an LCL type grid-connected inverter parameter online identification method based on a moth flame (MFO) algorithm, which can accurately and quickl...

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Bibliographische Detailangaben
Hauptverfasser:	LONG BO, WANG LUPING, YANG WANDI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC,OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWERSUPPLY SYSTEMS CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATION THEREOF CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUTPOWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention is mainly applied to a grid-connected inverter with filter parameter mismatch caused by temperature, device aging and the like, and provides an LCL type grid-connected inverter parameter online identification method based on a moth flame (MFO) algorithm, which can accurately and quickly perform online parameter identification on an LCL filter. Firstly, the parameter mismatch degree is evaluated through a cost function error in model prediction, and the degree that a switching vector selected by a cost function deviates from an optimal vector during parameter mismatch is analyzed; secondly, designing a fitness function of an MFO algorithm to enable the fitness function to converge to an accurate value of an LCL type filter parameter, and sending an updated parameter value to a prediction model; and finally, the appropriate switching vector is selected again to control the grid-connected inverter. The online parameter identification method of the grid-connected inverter has the characteristics of