Biographical Info

• • Educational Qualification [Starting from Bachelor’s Degree]

1. 1. 1. B.Tech (Electrical Engineering) – Sambalpur University
      2. M.Tech(Power System Engineering)- V S S University of Technology, Burla
      3. Ph.D (Electrical Engineering) – V S S University of Technology, Burla

• • Achievements :

• • • Awarded as Institute Best Engineering Graduate of 2002-06 Batch

• • Experience:

• • • Teaching: 4yrs in PKACE, Bargarh. 4yrs in SIT, SBP. 6yrs in SUIIT, Burla

• • • Research: 11yrs

• • • Industry

• • Area of Specialization :

• • • Power System Operation and Scheduling

• • • Optimal Power Flow Solutions

• • • Application of intelligent techniques to operation of Hybrid Power System

• • Professional Membership: LMISTE, MIE

• • Subjects Taught: Power System Operation and Control

• • Renewable Energy Systems, Control System Engineering, Power System Protection

• • Electrical Machines, Network Theory, Basic Electrical Engineering

• •  Guidance

• • • B.Tech: 75

• • • M.Tech/MCA/MSc/M.Phil: 01

• • • Ph.D: Awarded(00), Submitted (00), Continuing(02)

• • Training/Workshop: 14

• • Number of Journals: 12

• • JOURNAL PUBLICATIONS [Only SCI/Scopus, Best First, APA Style]

1	Panda, A., Mishra, U., Tseng, M. L., & Ali, M. H. (2020). Hybrid power systems with emission minimization: Multi-objective optimal operation. Journal of Cleaner Production, 268, 121418. [Elsevier, IF:9.297, SCI, Scopus]
2	Panda, A., Tripathy, M., Barisal, A. K., & Prakash, T. (2017). A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM. Energy, 124, 720-740. [Elsevier, IF:7.147, SCI, Scopus]
3	Panda, A., & Tripathy, M. (2015). Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm. Energy, 93, 816-827. [Elsevier, IF:7.147, SCI, Scopus]
4	Panda, A., Mishra, U., & Aviso, K. B. (2020). Optimizing hybrid power systems with compressed air energy storage. Energy, 205, 117962. [Elsevier, IF:7.147, SCI, Scopus]
5	Panda, A., Aviso, K. B., Mishra, U., & Nanda, I. (2021). Impact of optimal power generation scheduling for operating cleaner hybrid power systems with energy storage. International Journal of Energy Research, 45(10), 14493-14517. [Wiley, IF:5.16, SCI, Scopus]
6	Panda, A., & Tripathy, M. (2016). Solution of wind integrated thermal generation system for environmental optimal power flow using hybrid algorithm. Journal of Electrical Systems and Information Technology, 3(2), 151-160. [Elsevier, Scopus]
7	Panda, A., &Tripathy, M. (2014). Optimal power flow solution of wind integrated power system using modified bacteria foraging algorithm. International Journal of Electrical Power & Energy Systems, 54, 306-314.[Elsevier, IF:4.63, SCI, Scopus]

 

INTERNATIONAL CONFERENCE PUBLICATIONS [Maximum 20, APA Style]

1	Panda, A. (2014). Cost-effective operation of hybrid power system using intelligent techniques’ International Conference on Emerging trends in science and Technologies (pp. 468-474), MP, India.
2	Panda, A.,& Barpanda, N.K.(2017). Optimal generation scheduling of wind integrated power system using Bacteria Foraging Algorithm. International Conference on Advance studies in Engineering and sciences, ICASES (pp. 660-665), MP, India.
3	Panda, A. (2018). Analysis of reactive power support on performance of Grid integrated wind energy conversion system. 1st International Conference on Nexgen Technologies (pp. 289-294), TN, India
4	Panda, A. (2018). Multi-objective optimal power dispatch of power system incorporating wind power. 12th International Conference on Recent innovations in science and Engineering (pp. 390-396), AP, India.