公开(公告)号：US20240213921A1

公开(公告)日：2024-06-27

申请号：US18087769

申请日：2022-12-22

Applicant: POSTECH Research and Business Development Foundation

Inventor： Young Jin KIM ,  Ji Hun HA ,  Ram Jothikumar PRASANTH

IPC: H02S50/10 ,  G05F1/67

CPC classification number: H02S50/10 ,  G05F1/67

Abstract: Disclosed are a shade detection and global maximum power point tracking method and apparatus for photovoltaic power conversion. The method comprises: setting an array voltage at a first duty and an array current at a second duty among data sheet values of a PV array of a PV module as a reference array voltage and a reference array current, respectively; calculating a MPP resistance of the PV array based thereon; calculating a duty to be applied to a switch of a boost converter of the PV module based on the MPP resistance; obtaining an actual array voltage and an actual array current of the PV array based on the duty; and determining whether a uniform shade case occurs based on the actual array voltage, the actual array current, and actual power.

公开(公告)号：US20220268479A1

公开(公告)日：2022-08-25

申请号：US17566587

申请日：2021-12-30

Applicant: POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION

Inventor： Ye Eun JANG ,  Young Jin KIM

IPC: F24F11/64 ,  F24F11/47 ,  G06N3/08

Abstract: The present disclosure provides a heating, ventilation, and air conditioning (HVAC) system including interconnected artificial neural networks trained for respective subsystems that are required for building temperature control. The HVAC system includes: an air conditioning sensor units installed in or outside a building to detect environmental data; an HVAC device configured to supply thermal energy into an inner space of the building using input power; and a predictive controller configured to generate operational data based on the environmental data and control the HVAC device by adjusting the input power.

公开(公告)号：US20240213922A1

公开(公告)日：2024-06-27

申请号：US18089932

申请日：2022-12-28

Applicant: POSTECH Research and Business Development Foundation

Inventor： Young Jin KIM ,  Ji Hun HA

IPC: H02S50/10

CPC classification number: H02S50/10

Abstract: Disclosed are a method of estimating PV model parameters and a method and an apparatus for data-based PV fault detection and diagnosis using a PV model. The method comprises: substituting five parameters of a PV current, a diode saturation current, a diode ideality factor, a series resistance, and a parallel resistance into an output equation of a single diode model for PV modeling of a PV module; computing an MAEP in an output by comparing power-voltage (P-V) curve values of the PV module obtained from the single diode model, which is a PV simulation model, and P-V curve values of the PV module, which is an actual PV module, when the voltage is zero, the open-circuit voltage, or a specific data value increased as much as a preset intensity; and selecting parameters representing a minimum MAEP among a plurality of stored MAEPs as parameters of the PV simulation model.

公开(公告)号：US20230188091A1

公开(公告)日：2023-06-15

申请号：US18079844

申请日：2022-12-12

Applicant: POSTECH Research and Business Development Foundation

Inventor： Young Jin KIM ,  Ji Hun HA

IPC: H02S50/10 ,  G06F30/20

CPC classification number: H02S50/10 ,  G06F30/20

Abstract: A photovoltaic panel fault diagnosis method using a fault diagnosis algorithm in a photovoltaic system comprises modeling a photovoltaic system simulation model necessary for the fault diagnosis algorithm, defining fault scenarios and pre-processing through data normalization after creating and acquiring fault data in advance using the photovoltaic system simulation model, and utilizing scenario-specific fault data obtained through the data normalization with a machine learning method.