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รศ.ดร.จงลักษณ์ พาหะซา 

Assoc. Prof. Dr. Jonglak  Pahasa
Lecturer, Electrical Engineering

Room: EN1101 A7
Phone: 054-46-6666  ext 3382
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Educations

D.Eng. (Electrical Engineering),       King Mongkut's Institute of Technology Ladkrabang, Ladkrabang, Bangkok, Thailand, 2011
M.Eng. (Electrical Engineering),      Chiang Mai University, Chiang Mai, Thailand, 2007
B.Eng. (Electrical Engineering),       King Mongkut's Institute of Technology Ladkrabang, Ladkrabang, Bangkok, Thailand, 1997

Work Experiences

10 Oct. 2013 - Present:             Assistant Professor, Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao, Thailand.
18 Aug 2014 – 2 May 2016:     Head of the Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao, Thailand.
4 June 2013 - 17 Aug. 2014:    Lecturer, Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao, Thailand.
1 Nov. 2011 - 3 June 2013:      Head of the Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao, Thailand.
July 2010 - Oct. 2011:              Lecturer, Department of Electrical Engineering, School of Engineering, University of Phayao, Phayao, Thailand.
June 2007 - July 2010:            Lecturer, Naresuan University: Phayao Campus, Phayao, Thailand.

Scholarships, Grants, and Awards

  • 2 July 2018- 1 July 2020: TRF Grant for New Researcher, no. MRG6180273, Project Title: “Cooperative control of flywheels and fuel cells using hierarchical model predictive control to reduce frequency fluctuation in a wind-diesel powered microgrid system” funded by the Thailand Research Fund.
  • 2 May 2016- 1 May 2018: TRF Grant for New Researcher, no. MRG5980229, Project Title: “Real-time wide-area adaptive power oscillation damping controllers design for DFIG-based wind turbines using model predictive control” funded by the Thailand Research Fund.
  • 15 July 2015: Outstanding Researcher Award (โล่รางวัลเชิดชูเกียรตินักวิจัยดีเด่น), School of Engineering, University of Phayao.
  • 1 Dec. 2015-30 Nov. 2016: Research Support Fund, no. RD59049, Research Project: “Medium-term electrical load forecasting using optimal support vector machine: case study of Phayao Province,” funded by the University of Phayao.
  • 29-30 Jan. 2015: Best Oral presentation award in Science and Technology (Engineering), Phayao Research Conference 2015, Paper: “Application of model predictive control for load frequency and electric vehicle control in a Microgrid”
  • 1 Dec. 2014-30 Nov. 2015: Research Support Fund, no. R020058218029, Research Project: “Power quality problem classification in Phayao Province using optimal support vector machines,” funded by the University of Phayao.
  • 1 Dec. 2014-30 Nov. 2015: Research Support Fund, no. R020058218028, Research Project: “Microgrid simulation for Phayao Province using MATLAB/Simulink,” funded by the University of Phayao.
  • 1 Jan. 2014-31 Dec. 2014: Research Support Fund, no.255702049, Research Project: “Short-term electrical load forecasting in Phayao Province using optimal support vector machine model,” funded by the University of Phayao.
  • 3 June 2013- 2 June 2015: TRF Grant for New Researcher, no. MRG5680005, Project Title: “Smart microgrid frequency stabilization using least-squres support vector machines,” funded by the Thailand Research Fund.
  • 12-15 Dec. 2012: Best paper award in Electrical Power Engineering, 35th Electrical Engineering Conference (EECON35), Paper: “Adaptive power system stabilizer design using optimal support vector machines based on harmony search algorithm”
  • 28-30 Oct. 2009: Best paper award in Electrical Power Engineering, 32nd Electrical Engineering Conference (EECON32), Paper: “Genetic algorithm based learning of least squares support vector machine for wide area adaptive power system stabilizer”
  • Nov. 2009-June 2011: AUN/SeedNet Doctoral Degree Scholarship.

Social Services

  • Reviewer of the IEEE Transactions on Power System
  • Reviewer of the IEEE Transactions on Smart Grid
  • Reviewer of the IEEE Transactions on Industrial Electronics
  • Reviewer of the IEEE Transactions on Sustainable Energy
  • Reviewer of the IEEE Systems Journal
  • Reviewer of the IEEE Access
  • Reviewer of the IET Generation, Transmission & Distribution
  • Reviewer of the Electronics and Electrical Engineering
  • Reviewer of the ECTI Transactions
  • International Program Committee of the Fifth IASTED Asian Conference on Power and Energy Systems, (AsiaPES 2012), April 2-4, 2012, Phuket, Thailand.
  • Technical Program Committee (Power systems) of the 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2019)
  • Technical Program Committee (Power systems) of the (ECTI-CARD 2019) 

Research areas

  • Power system stability, dynamic & control
  • Smart grid
  • Application of artificial intelligence in power systems
  • Power quality problem classification
  • Electric load forecasting

Publications

International Journals

  1. J. Pahasa and I. Ngamroo (2018). Coordinated PHEV, PV, and ESS for Microgrid Frequency Regulation Using Centralized Model Predictive Control Considering Variation of PHEV Number, IEEE Access, vol. 6, pp. 69151-69161, 2018.
  2. J. Pahasa and I. Ngamroo (2017). Simultaneous control of frequency fluctuation and battery SOC in a smart grid using LFC and EV controllers based on optimal MIMO-MPC, Journal of Electrical Engineering & Technology, vol. 12(2), pp.601-611, 2017.
  3. J. Pahasa and I. Ngamroo (2016). Coordinated control of wind turbine blade pitch angle and PHEVs using MPCs for load frequency control of microgrid, IEEE Systems Journal, vol.10, no.1, pp.97-105, 2016.
  4. J. Pahasa and I. Ngamroo (2015). PHEVs bidirectional charging/discharging and SoC control for microgrid frequency stabilization using multiple MPC, IEEE Transactions on Smart Grid, vol.6, no.3, pp.526-533, 2015.
  5. J. Pahasa and I. Ngamroo (2014). Adaptive power system stabiliser design using optimal support vector machines based on harmony search algorithm, Electric Power Components and Systems, vol.42, no.5, pp. 439-452, 2014.
  6. J. Pahasa , K. Hongesombut and I. Ngamroo (2012). Adaptive thyristor controlled series capacitor using particle swarm optimization and support vector regression, International Review on Modelling and Simulations, vol.5, no.2, pp.714-721, April 2012.
  7. J. Pahasa and I. Ngamroo (2012). Optimal least squares support vector machines for SMES controller design using wide area phasor measurements. European Transactions on Electrical Power, vol. 22, October 2012, pp. 571-588.
  8. J. Pahasa and I. Ngamroo (2012). PSO based Kernel principal component analysis and multi-class support vector machine for power quality problem classification. International Journal of Innovative Computing, Information and Control, vol.8, no.3(A), pp. 1523-1540, March 2012.
  9. J. Pahasa and I. Ngamroo (2011). A heuristic training-based least squares support vector machines for power system stabilization by SMES. Expert Systems with Applications, vol. 38, no. 11, October 2011, pp. 13987-13993.
  10. J. Pahasa and I. Ngamroo (2011). Least square support vector machine for power system stabilizer design using wide area phasor measurements. International Journal of Innovative Computing, Information and Control, vol.7, no.7B, August 2011, pp. 4487-4501. 

International Conferences

  1. J. Pahasa, and I. Ngamroo (2014). Model predictive control-based wind turbine blade pitch angle control for alleviation of frequency fluctuation in a smart grid. Proceedings of the 2014 International Electrical Engineering Congress (iEECON2014), 19-21 March 2014, Pattaya, Thailand, No.051, pp.304-307.
  2. J. Pahasa, and I. Ngamroo (2013). Feature selection for adaptive power system stabilizer using optimal support vector machines. Proceedings of the 2013 International Electrical Engineering Congress (iEECON2013), 13-15 March 2013, Chiang Mai, Thailand, No.89, pp.304-307.
  3. J. Pahasa, K. Hongesombut and I. Ngamroo (2012). PSO-based learning of support vector machines for adaptive TCSC. Proceedings of IASTED Technology and Management Conferences 2012, Power and Energy Systems, (AsiaPES 2012), 2-4 April 2012, Phuket, Thailand, no.768-092, pp.164-169.
  4. P. Chantachiratham, K. Hongesombut and J. Pahasa (2011).Optimum fault current limiter placement using PSO method.The 5th PSU-UNS International Conference on Engineering and Technology (ICET-2011), 2-3 May, 2011, Merlin Beach Resort Hotel, Tritrang Beach, Phuket, Thailand, pp. 124-127.
  5. J. Pahasa and I. Ngamroo (2010). Wide area SMES controller design using least-squares support vector machines. Proceedings of IASTED Technology and Management Conferences 2010, Power and Energy Systems, (AsiaPES 2010), 24-26 November 2010, Phuket, Thailand, no.701-160, pp.431-436.
  6. J. Pahasa and I. Ngamroo (2010). GA-based support vector machines for adaptive power system damping controller of SMES. Proceedings of the 2010 Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology International Conference, (ECTI-CON 2010), 19-21 May 2010, Chiang Mai, Thailand, vol.1, pp.1011-1015.
  7. J. Pahasa and I. Ngamroo (2010).Kernel principal component analysis for power quality problem classification.Proceedings of the 2010 Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology International Conference, (ECTI-CON 2010), 19-21 May 2010, Chiang Mai, Thailand, vol. 1, pp.675-679.
  8. N. Theera-Umpon, S. Auephanwiriyakul, S. Suteepohnwiroj, J. Pahasa and K. Wantanajittikul (2008).River basin flood prediction using support vector machine.Proceeding of IEEE World Congress on Computational Intelligence (WCCI), pp. 47-52, Hong Kong, June 2008.
  9. J. Pahasa and N. Theera-Umpon (2008).Cross-substation short term load forecasting using support vector machine. Proceeding of the 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), no.2, pp. 953-956, Krabi Thailand, May. 2008.
  10. J. Pahasa and N. Theera-Umpon (2007). Short-term load forecasting using wavelet transform and support vector machine. Proceeding of the 8th International Power Engineering Conference (IPEC2007), pp. 47-52, Singapore, Dec. 2007. 

National Conferences

  1. S. Muengchuen, J. Pahasa, and I. Ngamroo (2016). Coordinated control of EV and PV inverters using MIMO-MPC for frequency stabilization of microgrid, The 39th Electrical Engineering Conference (EECON39), vol.1, pp.211-214, Petchaburi, Thailand, 2-4 Nov. 2016. (in Thai)
  2. J. Pahasa, and I. Ngamroo (2014). Coordinated control of LFC and SOC using MIMO-MPC for load frequency control of microgrid. The 37th Electrical Engineering Conference (EECON37), vol.1, pp.309-312, Khon Kaen, Thailand, 19- 21 Nov. 2014. (in Thai)
  3. J. Pahasa, and I. Ngamroo (2013). Coordinated control of blade pitch angle of wind turbine generator and PHEV battery charger using MPCs for load frequency control of microgrid. The 36th Electrical Engineering Conference (EECON36), vol.1, pp.209-212, Karnchanaburi, Thailand, 11 - 13 Dec. 2013. (in Thai)
  4. J. Pahasa, and I. Ngamroo (2013). Short-term load forecasting using optimal support vector machines based on harmony search algorithm. The 36th Electrical Engineering Conference (EECON36), vol.1, pp.261-264, Karnchanaburi, Thailand, 11 - 13 Dec. 2013. (in Thai)
  5. J. Pahasa, and I. Ngamroo (2012). Adaptive power system stabilizer design using optimal support vector machines based on harmony search algorithm. The 35th Electrical Engineering Conference (EECON35), vol.1, pp.11-14, Nakhon-Nayok, Thailand, 12 - 14 Dec. 2012. (in Thai: Best paper award in Electrical Power Engineering)
  6. J. Pahasa, I. Ngamroo and K. Hongesombut (2011). Smart grid stabilization by wide area control of SMES using least squares support vector machines. The 34th Electrical Engineering Conference (EECON34), pp.5-8, Pattaya, Chonburi, Thailand, 30 Nov.- 2 Dec.2011. (in Thai)
  7. J. Pahasa and I. Ngamroo (2011). Optimal Kernel principal component analysis and decision-tree support vector machine for power quality problem classification. The 34th Electrical Engineering Conference (EECON34), pp.237-240, Pattaya, Chonburi, Thailand, 30 Nov.- 2 Dec.2011. (in Thai)
  8. J. Pahasa and I. Ngamroo (2009). Genetic algorithm based learning of least squares support vector machine for wide area adaptive power system stabilizer. The 32nd Electrical Engineering Conference (EECON32), vol.1, pp.7-10, Prachinburi, Thailand, 28-30 October 2009. (in Thai: Best paper award in Electrical Power Engineering)
  9. CukSupriyadi Ali Nanda, I. Ngamroo, and J. Pahasa (2009).Alleviation of Power Fluctuation in a Microgrid using SMES with Optimal Coil Size. The 32nd Electrical Engineering Conference (EECON32), vol.1, pp.315-318, Prachinburi, Thailand, October 2009.
  10. J. Pahasa and C. Rakpenthai (2007). Support vector machine for maximum power-point prediction of photovoltaic panel. The 30th Electrical Engineering Conference (EECON30), vol.1, pp. 7-10, Karnchanaburi, Thailand, 25-26 October 2007. (in Thai)
  • Theses supervised

Master Theses

1) Mr.Satawat Muangchuen, 2015-2017
Title: Application of Model Predictive Control for Frequency Stabilization of Microgrid.

Doctor Theses

1) Mr.Satawat Muangchuen, 2018- Present
Title: TBA

Lecture Courses

Postgraduate

1) 262721 Advanced Control System
2) 262744 Power System Stability and Control
3) 262745 Power System Quality
4)  262772 Artificial Neural Network Theory
5) 262792 Research Methodology 

Ungraduated

1)  262323 Control Systems
2)  262449 Power System Protection
3) 262462 Distributed Generation Systems
4)  262215 Electrical Engineering Laboratory

 


คณะวิศวกรรมศาสตร์
มหาวิทยาลัยพะเยา
19 หมู่ 2 ตำบลแม่กา อำเภอเมือง
จังหวัดพะเยา 56000
โทร 054-466-666 ต่อ 3389
โทรสาร 054-466-662
Email: engineering@up.ac.th
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