Supervisory Control for Induction Machine with a Modified Star/Delta Switch in Fluid Transportation

Authors: O. S. Ebrahim, K. O. Shawky, M. A. Badr, P. K. Jain

Abstract:

This paper proposes an intelligent, supervisory, hysteresis liquid-level control with three-state energy saving mode (ESM) for induction motor (IM) in fluid transportation system (FTS) including storage tank. The IM pump drive comprises a modified star/delta switch and hydromantic coupler. Three-state ESM is defined, along with the normal running, and named analog to the computer’s ESMs as follows: Sleeping mode in which the motor runs at no load with delta stator connection, hibernate mode in which the motor runs at no load with a star connection, and motor shutdown is the third energy saver mode. Considering the motor’s thermal capacity used (TCU) and grid-compatible tariff structure, a logic flow-chart is synthesized to select the motor state at no-load for best energetic cost reduction. Fuzzy-logic (FL) based availability assessment is designed and deployed on cloud, in order to provide mobilized service for the star/delta switch and highly reliable contactors. Moreover, an artificial neural network (ANN) state estimator, based on the recurrent architecture, is constructed and learned in order to provide fault-tolerant capability for the supervisory controller. Sequential test of Wald is used for sensor fault detection. Theoretical analysis, preliminary experimental testing and computer simulations are performed to demonstrate the validity and effectiveness of the proposed control system in terms of reliability, power quality and operational cost reduction with a motivation of power factor correction.

Keywords: Artificial Neural Network, ANN, Contactor Health Assessment, Energy Saving Mode, Induction Machine, IM, Supervisory Control, Fluid Transportation, Fuzzy Logic, FL, cloud computing, pumped storage.

References:

[1] H. B. Teddy Püttgen, "R&D in our industry: where do you go from here?" Inter. Conf. on power system technology, Powercon2004, Keynote Address, Singapore, 2004, pp.9-10.
[2] S.M. Kaviri et al., "A Supervisory Control System for Nano-grids Operating in the Stand-Alone Mode, " IEEE Trans. on Power Electr., Volume: 36, Issue: 3, March 2021, pp. 2914–2931.
[3] A. David, J. Maire, and M. Dessoude, "Influence of voltage dips and sags charteristics on electrical machines and drives," the 3rd inter. Conf. on power quality end user Appl., PQA94, Netherlands, 1994, No. 1B-1.31.
[4] S. Bagawade et al, "A New Discrete Four Quadrant Control Technique for Grid-Connected Full-Bridge AC–DC Converters,” IEEE Journal of Emerging and Selected Topics in Power Electr., 2021. DOI: 10.1109/JESTPE.2021.3088878.
[5] E. Priyanka et al, " IoT Based monitoring and control of fluid transportation using machine learning", ELSEVER, Computer and Electrical Engineering Journal, no. 89, 2021.
[6] A. R. Abu’lWafa, "Industrial load management in Egypt," the 11th proc. of inter. Assoc. of Science and Technology for Development (IASTED): Modeling, Identification, and Control, Austria, 1992, pp. 267-268.
[7] B. D. Brown, J. A. Lopes, and M. A. Matous, "OPTIMIZATION of Pumped Storage Capacity in an Isolated Power System with Large Renewable Penetration," IEEE TRANS. ON POWER SYSTEMS, VOL. 23, NO. 2, 2008, PP. 523-531. DOI:10.1109/TPWRS.2008.919419.
[8] N. Mousari et al," A Real time energy management system for pumped hydro storage systems in farmhouses," ELSEVER, Journal of energy storage, No.32,2020.
[9] O. S. Ebrahim and P. K. Jain "LQR-based Stator Field Oriented Control for the Induction Motor Drives," the23rd IEEE Applied Power Electronic Conf. (APEC 2008), USA, 2008.
[10] O. S. Ebrahim et al," Application of linear quadratic regulator theory to the stator field oriented control of induction motors" IET Electr. Power Appl., 2010, Vol. 4, Issue 8, pp. 637–646.
[11] O. S. Ebrahim et al," ANN-Based Optimal Energy Control of Induction Motor in Pumping Applications," IEEE Trans. on Energy Conversion, no.3.1, Oct. 2010.
[12] K. Warwick, “Neural Networks for Systems and Control,” the 11th proc. of inter. Assoc. of Science and Technology for Development (IASTED): Modeling, Identification, and Control, Austria, 1992, pp. 7-10.
[13] A. Wald, "Sequential analysis", Dover New York, 1947.
[14] The European commission efficiency regulations (EU) 2019/1781: For low voltage electric motors and variable speed drives.
[15] Ian Miller, "Fluid Couplings vs VFDs for High Inertia Rotating Driven Loads: A Selection Guide Reviewing the Merits of Both Options, " Power Transmission Engineering, pp.44-46, 2017.
[16] M. G. Say, "Alternating Current Machines", John Wiley & Sons, 5th edition, 1968.
[17] K. Smith and S. Jain, "The Necessity and Challenges of Modeling and Coordinating Microprocessor Based Thermal Overload Functions for Device protection," The 70 Ann. Conf. On Protective Relay Engineers (CPRE), 2017.
[18] O. S. Ebrahim; P. K. Jain; G. Nishith, " Digital State Control with Preview for a Shunt Active Filter Having the Function of Active Rectifier", The 33rd Ann. Conf. of the IEEE Industrial Electronics Society (IECON'07), 2007, Taiwan.
[19] P. J. Freeman, "Electric Power Transmission and Distribution," Harrap publishing, 1974.
[20] S. Kumari et al, "Reliability Estimation of Distribution Components- Contactors," IEEE PES Asia Pacific power and Energy Conf.,2016.
[21] S. Abirami et al," AC Contactor Electrical Health Estimator Model, " IOP Materials Science and Engineering,2021.
[22] C. Earl, "The Fuzzy Systems Handbook," 1994.
[23] W. Stefanuti and P. Mattavelli,"Fully Digital Hysteresis Modulation with Switching Time Prediction," IEEE Trans. On Ind. Appl., Vol. 42, No. 3, 2006 pp.763-769.
[24] O. S. Ebrahim, K. O. Shawky, and, M. O. S. Ebrahim, " Supervisory Controller with Three-State Energy Saving Mode for Induction Motor in Fluid Transportation," accepted in ICSC23 Conf. on smart cities, Montreal, Canada, 2023, Paper Code: 23CA050133.