Intelligent online controller for inverter based resources

Systems and methods for the control and operation of a grid-connected converter with an energy storage system are provided. The system can include a small microgrid comprising an AC grid that is feeding a DC load through a converter. The converter is connected to the AC grid through an R-L filter. T...

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Bibliographische Detailangaben
Hauptverfasser:	Soliman, Ahmed, Mohammed, Osama, Rafin, S M Sajjad Hossain
Format:	Patent
Sprache:	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 ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY
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Beschreibung
Zusammenfassung:	Systems and methods for the control and operation of a grid-connected converter with an energy storage system are provided. The system can include a small microgrid comprising an AC grid that is feeding a DC load through a converter. The converter is connected to the AC grid through an R-L filter. The classical linear controllers have limitations due to their slow transient performance and low robustness against parameter variations and load disturbances. In certain embodiments, the transient and steady state responses of the provided artificial intelligence based Robust Artificial Neural Network Tracking Control (RANNTC) of three-phase grid-connected power converters has been shown to be more enhanced in terms of overshoot (24% lower), settling time (85% reduced), and total harmonic distortion (THD) (55% lower).