EPE Association: EPE 2020 - DS3e: Estimation & Identification Methods

EPE 2020 - DS3e: Estimation & Identification Methods
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 03: Measurement and Control > EPE 2020 - DS3e: Estimation & Identification Methods

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   Full Sensorless Operation of Induction Machines based on Online Identification of Saliencies using Harmonic Compensation LUTs in Traction Applications
By Eduardo RODRIGUEZ MONTERO [View]
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Abstract: Speed sensorless control of induction machines (IM) around zero frequency is distinctively carried outby external injection, whose objective is to extract rotor-related information by evaluating the actualstate of the machine saliencies. Commonly, IM saliencies are identified during an offline encoder-based test where each saliency signal component is estimated regarding its amplitude and phase shift for each required torque point. It is then, during the sensorless online operation, where the identified saliencies are eliminated from the total saliency vector, leading to a single saliency component, which is used for sensorless control scheme. The offline process needed for saliency identification requires time, a shaft encoder (during offline test) and cannot deal with online parameter variations. To deal with such drawbacks, this paper proposes a fully sensorless saliency identification method that runs without position sensor even in the identification phase and can be updated during online operation.

   Measurement Based Model for the Calculation of Current Distributions BetweenParalleled Power Semiconductors during High Current Operation
By Julian DA CUNHA [View]
[Download]

Abstract: To simulate current sharing between parallel power semiconductors and their temperatures during surge current under the circumstance of intensity and starting temperature variation, a new method is proposed. With a set of surge current measurements with varying starting temperatures, a high temperature thermal model and the temperature and current dependent on-state voltage are extracted.

   Speed Sensorless Commissioning of Resonating Mechanical System in Electric Drives
By ATTE PUTKONEN [View]
[Download]

Abstract: Artificial excitation signal based commissioning routines has been widely applied for the identificationof the resonating mechanical system in electric drives. The commissioning tests encountered in theindustry are mostly related to the detection of the first resonating mode, to be more specific, to theestimation of the two-mass-system model approximation needed for the velocity PI controller tuning.A standard identification procedure uses the torque reference as an input signal and the output is themeasured velocity signal obtained from the encoder. However, most of the industrial drives are based on sensorless operation, thus there is no possibility to measure the velocity, but some information from the mechanical system is needed for the control design. This paper addresses to the issues related to the speed sensorless identification under closed loop control. A closed loop identification routine where a pseudo random binary sequence (PRBS) is superposed to the velocity control output is studied experimentally by considering a standard commercial frequency converter in sensorless mode driving an induction machine that is connected to resonating mechanical system.

   State Estimation for Medium and Low Voltage Distribution Grids Based on Near Real-time Grid Measurements and Delayed Smart Meters Data
By Mokhtar BOZORG [View]
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Abstract: In this paper, first, a distribution system state estimation (DSSE) algorithm based on Distflow model is presented. The model is designed for radial low voltage (LV) distribution grids considering traversal components such as the cable capacitances. Next, to obtain the pseudo-measurements required for the DSSE algorithm, we developed and compared three intraday nodal load forecast (INLF) methods that take; i) near real-time stream of data from the grid measurement devices (MDs), i.e., voltage and current magnitudes at limited number of lines/nodes, and ii) the batch data set from smart meters (SMs) available for previous days. The accuracy associated with the INLF methods is quantified in terms of statistical characteristics such as average of symmetric mean absolute percentage error (sMAPE) over all nodes of the distribution grid. Afterwards, the impact of this accuracy on the DSSE results isinvestigated using real data available for a distribution grid in city of Geneva, Switzerland.

EPE 2020 - DS3e: Estimation & Identification Methods
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 03: Measurement and Control > EPE 2020 - DS3e: Estimation & Identification Methods
	[return to parent folder]

	Full Sensorless Operation of Induction Machines based on Online Identification of Saliencies using Harmonic Compensation LUTs in Traction Applications By Eduardo RODRIGUEZ MONTERO	[View] [Download]
Abstract: Speed sensorless control of induction machines (IM) around zero frequency is distinctively carried outby external injection, whose objective is to extract rotor-related information by evaluating the actualstate of the machine saliencies. Commonly, IM saliencies are identified during an offline encoder-based test where each saliency signal component is estimated regarding its amplitude and phase shift for each required torque point. It is then, during the sensorless online operation, where the identified saliencies are eliminated from the total saliency vector, leading to a single saliency component, which is used for sensorless control scheme. The offline process needed for saliency identification requires time, a shaft encoder (during offline test) and cannot deal with online parameter variations. To deal with such drawbacks, this paper proposes a fully sensorless saliency identification method that runs without position sensor even in the identification phase and can be updated during online operation.

	Measurement Based Model for the Calculation of Current Distributions BetweenParalleled Power Semiconductors during High Current Operation By Julian DA CUNHA	[View] [Download]
Abstract: To simulate current sharing between parallel power semiconductors and their temperatures during surge current under the circumstance of intensity and starting temperature variation, a new method is proposed. With a set of surge current measurements with varying starting temperatures, a high temperature thermal model and the temperature and current dependent on-state voltage are extracted.

	Speed Sensorless Commissioning of Resonating Mechanical System in Electric Drives By ATTE PUTKONEN	[View] [Download]
Abstract: Artificial excitation signal based commissioning routines has been widely applied for the identificationof the resonating mechanical system in electric drives. The commissioning tests encountered in theindustry are mostly related to the detection of the first resonating mode, to be more specific, to theestimation of the two-mass-system model approximation needed for the velocity PI controller tuning.A standard identification procedure uses the torque reference as an input signal and the output is themeasured velocity signal obtained from the encoder. However, most of the industrial drives are based on sensorless operation, thus there is no possibility to measure the velocity, but some information from the mechanical system is needed for the control design. This paper addresses to the issues related to the speed sensorless identification under closed loop control. A closed loop identification routine where a pseudo random binary sequence (PRBS) is superposed to the velocity control output is studied experimentally by considering a standard commercial frequency converter in sensorless mode driving an induction machine that is connected to resonating mechanical system.

	State Estimation for Medium and Low Voltage Distribution Grids Based on Near Real-time Grid Measurements and Delayed Smart Meters Data By Mokhtar BOZORG	[View] [Download]
Abstract: In this paper, first, a distribution system state estimation (DSSE) algorithm based on Distflow model is presented. The model is designed for radial low voltage (LV) distribution grids considering traversal components such as the cable capacitances. Next, to obtain the pseudo-measurements required for the DSSE algorithm, we developed and compared three intraday nodal load forecast (INLF) methods that take; i) near real-time stream of data from the grid measurement devices (MDs), i.e., voltage and current magnitudes at limited number of lines/nodes, and ii) the batch data set from smart meters (SMs) available for previous days. The accuracy associated with the INLF methods is quantified in terms of statistical characteristics such as average of symmetric mean absolute percentage error (sMAPE) over all nodes of the distribution grid. Afterwards, the impact of this accuracy on the DSSE results isinvestigated using real data available for a distribution grid in city of Geneva, Switzerland.