Application of whale algorithm optimizer for unified power flow controller optimization with consideration of renewable energy sources uncertainty

Authors

DOI:

https://doi.org/10.20998/2074-272X.2023.2.11

Keywords:

unified power flow controller, optimal location, whale optimization algorithm, renewable energy sources, intermittency

Abstract

Purpose. In this paper an allocation methodology of Flexible Alternating Current Transmission Systems (FACTS) controllers, more specifically, the Unified Power Flow Controller (UPFC) is proposed. As the penetration of Renewable Energy Sources (RESs) into the conventional electric grid increases, its effect on this location must be investigated. Research studies have shown that the uncertainty of RESs in power generation influences the reactive power of a power system network and consequently its overall transmission losses. The novelty of the proposed work consists in the improvement of voltage profile and the minimization of active power loss by considering renewable energy sources intermittency in the network via optimal location of UPFC device. The allocation strategy associates the steady-state analysis of the electrical network, with the location and adjustment of controller parameters using the Whale Optimization Algorithm (WOA) technique. Methodology. In order to determine the location of UPFC, approaches are proposed based on identification of a line which is the most sensitive and effective with respect to voltage security enhancement, congestion alleviation as well as direct optimization approach. The optimum location of UPFC in the power system is discussed in this paper using line loading index, line stability index and optimization method. The objective function is solved using the WOA algorithm and its performance is evaluated by comparison with Particle Swarm Optimization (PSO) algorithm. Results. The effectiveness of the proposed allocation methodology is verified through the analysis of simulations performed on standard IEEE 30 bus test system considering different load conditions. The obtained results demonstrate that feasible and effective solutions are obtained using the proposed approach and can be used to overcome the optimum location issue. Additionally, the results show that when UPFC device is strategically positioned in the electrical network and uncertainty of RES is considered, there is a significant influence on the overall transmission loss and voltage profile enhancements of the network.

Author Biographies

A. Laifa, University of August 20, 1955

Doctor of Science, Department of Electrical Engineering

B. Ayachi, University of August 20, 1955

Doctor of Science, Department of Electrical Engineering

References

Mutegi M.A., Nnamdi N.I. Optimal Placement of FACTS Devices Using Filter Feeding Allogenic Engineering Algorithm. Technology and Economics of Smart Grids and Sustainable Energy, 2022, vol. 7, no. 1, art. no. 2. doi: https://doi.org/10.1007/s40866-022-00132-3.

Akumalla S.S., Peddakotla S., Kuppa S.R.A. A Modified Cuckoo Search Algorithm for Improving Voltage Profile and to Diminish Power Losses by Locating Multi-type FACTS Devices. Journal of Control, Automation and Electrical Systems, 2016, vol. 27, no. 1, pp. 93-104. doi: https://doi.org/10.1007/s40313-015-0219-x.

Govindaraghavan G., Varadarajan R. Hybrid KHSO Based Optimal Location and Capacity of UPFC for Enhancing the Stability of Power System. Gazi University Journal of Science Part A: Engineering and Innovation, 2018, vol. 5, no. 4, pp. 141-157.

Shehata A.A., Tolba M.A., El-Rifaie A.M., Korovkin N.V. Power system operation enhancement using a new hybrid methodology for optimal allocation of FACTS devices. Energy Reports, 2022, vol. 8, pp. 217-238. doi: https://doi.org/10.1016/j.egyr.2021.11.241.

Zahid M., Chen J., Li Y., Duan X., Lei Q., Bo W., Mohy-ud-din G., Waqar A. New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis. Energies, 2017, vol. 10, no. 11, art. no. 1738. doi: https://doi.org/10.3390/en10111738.

Kishore A.Y., Mohan B.G. Enhancement of Voltage stability and Transmission Congestion management with UPFC. International Journal of Grid and Distributed Computing, 2018, vol. 11, no. 6, pp. 15-26. doi: https://doi.org/10.14257/ijgdc.2018.11.6.02.

Kalyani Radha P. Nonlinear optimization approach for UPFC power flow control and voltage security: Sufficient system constraints for optimality. Doctoral Dissertation, 2007.

Abdo M., Kamel S., Ebeed M., Yu J., Jurado F. Solving Non-Smooth Optimal Power Flow Problems Using a Developed Grey Wolf Optimizer. Energies, 2018, vol. 11, no. 7, art. no. 1692. doi: https://doi.org/10.3390/en11071692.

Rao B.V. Sensitivity Analysis based Optimal Location and Tuning of Static VAR Compensator using Firefly Algorithm. Indian Journal of Science and Technology, 2014, vol. 7, no. 8, pp. 1201-1210. doi: https://doi.org/10.17485/ijst/2014/v7i8.15.

Vijay Kumar B., Srikanth N.V. Optimal location and sizing of Unified Power Flow Controller (UPFC) to improve dynamic stability: A hybrid technique. International Journal of Electrical Power & Energy Systems, 2015, vol. 64, pp. 429-438. doi: https://doi.org/10.1016/j.ijepes.2014.07.015.

AL Ahmad A., Sirjani R. Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review. Ain Shams Engineering Journal, 2020, vol. 11, no. 3, pp. 611-628. doi: https://doi.org/10.1016/j.asej.2019.10.013.

Padma K., Maru Y.S. Comparative Analysis of a Performance of Metaheuristic Algorithms in Solving Optimal Power Flow Problems with UPFC Device in the Transmission System. International Journal of Recent Technology and Engineering (IJRTE), 2021, vol. 9, no. 5, pp. 316-326. doi: https://doi.org/10.35940/ijrte.E5301.019521.

Abdullah Salman G., Hasan Ali M., Najim Abdullah A. Implementation Optimal Location and Sizing of UPFC on Iraqi Power System Grid (132 kV) Using Genetic Algorithm. International Journal of Power Electronics and Drive Systems (IJPEDS), 2018, vol. 9, no. 4, pp. 1607-1615. doi: https://doi.org/10.11591/ijpeds.v9.i4.pp1607-1615.

Patil B., Karajgi S.B. Optimized placement of multiple FACTS devices using PSO and CSA algorithms. International Journal of Electrical and Computer Engineering (IJECE), 2020, vol. 10, no. 4, pp. 3350-3357. doi: https://doi.org/10.11591/ijece.v10i4.pp3350-3357.

Kavuturu K.V.K., Narasimham P.V.R.L. Optimal Parameters of OUPFC and GUPFC Under Renewable Energy Power Variation Using Cuckoo Search Algorithm Variants. Journal of Electrical Engineering & Technology, 2020, vol. 15, no. 5, pp. 2079-2098. doi: https://doi.org/10.1007/s42835-020-00501-x.

Sunday Y.S., Ubeh O.P., Saidu A.A., Fahad A. Grey wolf optimizer based optimal placement of multiple facts devices in the transmission system under dynamic loading system. Journal of Engineering Studies and Research, 2021, vol. 27, no. 1, pp. 132-143. doi: https://doi.org/10.29081/jesr.v27i1.262.

Laifa A. Application of harmony search method for UPFC location for enhancing power system security. 2015 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 2015, pp. 154-158. doi: https://doi.org/10.1109/ICSGCE.2015.7454288.

Vijay Kumar B. Optimal Location of Upfc to Improve Power System Voltage Stability Using Artificial Bee Colony Algorithm. American Journal of Electrical Power and Energy Systems, 2019, vol. 8, no. 2, pp. 42-49. doi: https://doi.org/10.11648/j.epes.20190802.11.

Abdul Hamid Z., Musirin I., Adli Nan M.A., Othman Z. Optimal Voltage Stability Improvement under Contingencies using Flower Pollination Algorithm and Thyristor Controlled Series Capacitor. Indonesian Journal of Electrical Engineering and Computer Science, 2018, vol. 12, no. 2, pp. 497-504. doi: https://doi.org/10.11591/ijeecs.v12.i2.pp497-504.

Rezaee Jordehi A. Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems. International Journal of Electrical Power & Energy Systems, 2015, vol. 69, pp. 48-57. doi: https://doi.org/10.1016/j.ijepes.2014.12.083.

Kavitha K., Neela R. Optimal Placement of UPFC to Enhance System Security Using BBO Technique. World Applied Sciences Journal, 2016, vol. 34, no. 10, pp. 1326-1337. doi: https://doi.org/10.5829/idosi.wasj.2016.1326.1337.

Nada Kh., Alrikabi M.A. Renewable energy types. Journal of Clean Energy Technologies, 2014, vol. 2, no. 1, pp. 61-64. doi: https://doi.org/10.7763/JOCET.2014.V2.92.

Vadivelu K.R., Marutheswar G.V. Fast voltage stabilty index based optimal reactive power planning using differential evolution. Electrical and Electronics Engineering: An International Journal (ELELIJ), 2014, vol. 3, no. 1, pp. 51-60.

Samuel I.A., Katende J., Awosope C.O.A., Awelewa A.A. Prediction of voltage collapse in electrical power system networks using a new voltage stability index. International Journal of Applied Engineering Research, 2017, vol. 12, no. 2, pp. 190-199.

Bourzami A., Amroune M., Bouktir T. On-line voltage stability evaluation using neuro-fuzzy inference system and moth-flame optimization algorithm. Electrical Engineering & Electromechanics, 2019, no. 2, pp. 47-54. doi: https://doi.org/10.20998/2074-272X.2019.2.07.

Mishra A., Nagesh Kumar G.V. A Line Utilization Factor and Krill Herd Algorithm based Optimal Utilization of Interline Power Flow Controller for Congestion Management. International Journal of Electrical and Electronics Research, 2015, vol. 3, no. 3, pp. 58-65. doi: https://doi.org/10.37391/IJEER.030304.

Naganathan A., Ranganathan V. Improving Voltage Stability of Power System by Optimal Location of FACTS Devices Using Bio-Inspired Algorithms. Circuits and Systems, 2016, vol. 07, no. 06, pp. 805-813. doi: https://doi.org/10.4236/cs.2016.76069.

Mirjalili S., Lewis A. The Whale Optimization Algorithm. Advances in Engineering Software, 2016, vol. 95, pp. 51-67. doi: https://doi.org/10.1016/j.advengsoft.2016.01.008.

Shahbudin I.S., Musirin I., Suliman S.I., Harun A.F., Syed Mustaffa S.A., Suyono H., Md Ghani N.A. FACTS device installation in transmission system using whale optimization algorithm. Bulletin of Electrical Engineering and Informatics, 2019, vol. 8, no. 1, pp. 30-38. pp. https://doi.org/10.11591/eei.v8i1.1442.

Mehdi M.F., Ahmad A., Ul Haq S.S., Saqib M., Ullah M.F. Dynamic economic emission dispatch using whale optimization algorithm for multi-objective function. Electrical Engineering & Electromechanics, 2021, no. 2, pp. 64-69. doi: https://doi.org/10.20998/2074-272X.2021.2.09.

Available at: http://www.ee.washington.edu/research/pstca/pf30/pg_tca30bus.htm (Accessed 3 May 2022).

Downloads

Published

2023-03-05

How to Cite

Laifa, A., & Ayachi, B. (2023). Application of whale algorithm optimizer for unified power flow controller optimization with consideration of renewable energy sources uncertainty. Electrical Engineering & Electromechanics, (2), 69–78. https://doi.org/10.20998/2074-272X.2023.2.11

Issue

Section

Power Stations, Grids and Systems