Optimal size and location of distributed generations in distribution networks using bald eagle search algorithm





decentralized generation, radial distribution networks, bald eagle search algorithm, power losses, voltage profile


Introduction. In the actual era, the integration of decentralized generation in radial distribution networks is becoming important for the reasons of their environmental and economic benefits. Purpose. This paper investigate the optimal size, location and kind of decentralized generation connected in radial distribution networks using a new optimization algorithm namely bald eagle search. Methods. The authors check the optimal allocation of two kinds of decentralized generation the first is operated at unity power factor and the second is operated at 0.95 power factor, a multi-objective functions are minimized based on reduction of voltage deviation index, active and reactive power losses, while taking into consideration several constraints. Results. Simulation results obtained on Standard IEEE-33 bus and IEEE-69 bus radial distribution networks demonstrate the performance and the efficiency of bald eagle search compared with the algorithms existing in literature and radial distribution networks performances are improved in terms of voltage profile and notably active and reactive power losses reduction, decentralized generation operated at 0.95 power factor are more perfect than those operated at unit power factor.

Author Biographies

N. Tebbakh, University of Constantine 1

PhD Student, Laboratory of Electrical Engineering, Department of Electrical Engineering

D. Labed, University of Constantine 1

Professor, Laboratory of Electrical Engineering, Department of Electrical Engineering

M. A. Labed, University of Constantine 1

PhD Student, Laboratory of Electrical Engineering, Department of Electrical Engineering


Gopal Reddy S., Ganapathy S., Manikandan M. Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller. Electrical Engineering & Electromechanics, 2022, no. 1, pp. 44-50. doi: https://doi.org/10.20998/2074-272X.2022.1.06.

Labed D. Production Decentralisée et Couplage au Réseau. PhD Thesis. Department of Electrical Engineering University Frères Mentouri, 2008, 173 p. (Fra).

M’hamdi B., Teguar M., Tahar B. Optimal DG Unit Placement and Sizing in Radial Distribution Network for Power Loss Minimization and Voltage Stability Enhancement. Periodica Polytechnica Electrical Engineering and Computer Science, 2020, vol. 64, no. 2, pp. 157-169. doi: https://doi.org/10.3311/PPee.15057.

Bouraghda S., Sebaa K., Bechouat M., Sedraoui M. An improved sliding mode control for reduction of harmonic currents in grid system connected with a wind turbine equipped by a doubly-fed induction generator. Electrical Engineering & Electromechanics, 2022, no. 2, pp. 47-55. doi: https://doi.org/10.20998/2074-272X.2022.2.08.

Selim A., Kamel S., Alghamdi A.S., Jurado F. Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches. IEEE Access, 2020, vol. 8, pp. 52815-52829. doi: https://doi.org/10.1109/ACCESS.2020.2980245.

Noureddine T., Djamel L. Load flow analysis using newton raphson method in presence of distributed generation. International Journal of Power Electronics and Drive Systems (IJPEDS), 2021, vol. 12, no. 1, pp. 489-498. doi: https://doi.org/10.11591/ijpeds.v12.i1.pp489-498.

Ouali S., Cherkaoui A. Optimal Allocation of Combined Renewable Distributed Generation and Capacitor Units for Interconnection Cost Reduction. Journal of Electrical and Computer Engineering, 2020, pp. 1-11. doi: https://doi.org/10.1155/2020/5101387.

Raj A., Aziz N.F.A., Yasin Z.M., Salim N.A. Investigation of distributed generation units placement and sizing based on voltage stability condition indicator (VSCI). International Journal of Power Electronics and Drive Systems (IJPEDS), 2019, vol. 10, no. 3, pp. 1317-1323. doi: https://doi.org/10.11591/ijpeds.v10.i3.pp1317-1323.

Sa’ed J.A., Quraan M., Samara Q., Favuzza S., Zizzo G. Impact of integrating photovoltaic based DG on distribution network harmonics. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017, pp. 1-5. doi: https://doi.org/10.1109/EEEIC.2017.7977786.

Kyryk V.V., Bohomolova O.S. Justification of optimal location of connection of the distributed generation source and value of its power. Electrical Engineering & Electromechanics, 2019, no. 2, pp. 55-60. doi: https://doi.org/10.20998/2074-272X.2019.2.08.

Yuvaraj T., Devabalaji K.R., Ravi K. Optimal Allocation of DG in the Radial Distribution Network Using Bat Optimization Algorithm. In: Garg, A., Bhoi, A., Sanjeevikumar, P., Kamani, K. (eds) Advances in Power Systems and Energy Management. Lecture Notes in Electrical Engineering, 2018, vol. 436. Springer, Singapore. doi: https://doi.org/10.1007/978-981-10-4394-9_55.

El-Ela A.A.A., El-Sehiemy R.A., Abbas A.S. Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems Using Water Cycle Algorithm. IEEE Systems Journal, 2018, vol. 12, no. 4, pp. 3629-3636. doi: https://doi.org/10.1109/JSYST.2018.2796847.

Singh B., Gyanish B.J. Impact assessment of DG in distribution systems from minimization of total real power loss viewpoint by using optimal power flow algorithms. Energy Reports, 2018, vol. 4, pp. 407-417. doi: https://doi.org/10.1016/j.egyr.2018.07.003.

Kouadri R., Slimani L., Bouktir T. Slime mould algorithm for practical optimal power flow solutions incorporating stochastic wind power and static var compensator device. Electrical Engineering & Electromechanics, 2020, no. 6, pp. 45-54. doi: https://doi.org/10.20998/2074-272X.2020.6.07.

Alam A., Zaheer B., Zaid M. Optimal Placement of DG in Distribution System for Power Loss Minimization and Voltage Profile Improvement. 2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018, pp. 837-842. doi: https://doi.org/10.1109/GUCON.2018.8674930.

Suresh M.C.V., Belwin E.J. Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm. Renewables: Wind, Water, and Solar, 2018, vol. 5, no. 1, art. no. 4. doi: https://doi.org/10.1186/s40807-018-0050-7.

Alzaidi K.M.S., Bayat O., Uçan O.N. Multiple DGs for Reducing Total Power Losses in Radial Distribution Systems Using Hybrid WOA-SSA Algorithm. International Journal of Photoenergy, 2019, pp. 1-20. doi: https://doi.org/10.1155/2019/2426538.

Sambaiah K.S., Jayabarathi T. Optimal Allocation of Renewable Distributed Generation and Capacitor Banks in Distribution Systems using Salp Swarm Algorithm. International Journal of Renewable Energy Research, 2019, vol. 9, no. 1, pp. 96-107. doi: https://doi.org/10.20508/ijrer.v9i1.8581.g7567.

Daneshvar M., Abapour M., Mohammadi-ivatloo B., Asadi S. Impact of Optimal DG Placement and Sizing on Power Reliability and Voltage Profile of Radial Distribution Networks. Majlesi Journal of Electrical Engineering, 2019, vol. 13, no. 2, pp. 91-102. Available at: http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/2782 (Accessed 10 May 2022).

Kumar Sharma S., K. Palwalia D., Shrivastava V. Distributed generation integration optimization using fuzzy logic controller. AIMS Energy, 2019, vol. 7, no. 3, pp. 337-348. doi: https://doi.org/10.3934/energy.2019.3.337.

Ang S., Leeton U. Optimal placement and size of distributed generation in radial distribution system using whale optimization algorithm. Suranaree Journal of Science and Technology, 2019, vol. 26, no. 1, pp. 1-12. Available at: https://ird.sut.ac.th/e-journal/Journal/pdf/180101220.pdf (Accessed 10 May 2022).

Bawa A., Uthman M., Shaibu F.E., Oyewale K.S. Optimal Sizing and Sitting of Distributed Generation for Power Quality Improvement of Distribution Network. European Journal of Engineering and Technology Research, 2019, vol. 4, no. 10, pp. 18-23. doi: https://doi.org/10.24018/ejeng.2019.4.10.1555.

Prakash S., Rangta V., Jayalakshmi N.S., Kumar Jadoun V. Optimal Location of DGs in a Distribution System for Maintaining Voltage Profile and Loss Reduction Using Genetic Algorithm. 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and Its Control (PARC), 2020, pp. 59-64. doi: https://doi.org/10.1109/PARC49193.2020.236558.

Islam M.Z., Wahab N.I.A., Veerasamy V., Hizam H., Mailah N.F., Guerrero J.M., Mohd Nasir M.N. A Harris Hawks Optimization Based Single- and Multi-Objective Optimal Power Flow Considering Environmental Emission. Sustainability, 2020, vol. 12, no. 13, art. no. 5248. doi: https://doi.org/10.3390/su12135248.

Djabali C., Bouktir T. Simultaneous allocation of multiple distributed generation and capacitors in radial network using genetic-salp swarm algorithm. Electrical Engineering & Electromechanics, 2020, no. 4, pp. 59-66. doi: https://doi.org/10.20998/2074-272X.2020.4.08.

Mohsin Al-Wazni H.S., Abdulla Al-Kubragyi S.S. A hybrid algorithm for voltage stability enhancement of distribution systems. International Journal of Electrical and Computer Engineering (IJECE), 2022, vol. 12, no. 1, pp. 50-61. doi: https://doi.org/10.11591/ijece.v12i1.pp50-61.

Alsattar H.A., Zaidan A.A., Zaidan B.B. Novel meta-heuristic bald eagle search optimisation algorithm. Artificial Intelligence Review, 2020, vol. 53, no. 3, pp. 2237-2264. doi: https://doi.org/10.1007/s10462-019-09732-5.

Aguirre-Angulo B.E., Giraldo-Bello L.C., Montoya O.D., Moya F.D. Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement. Algorithms, 2022, vol. 15, no. 2, art. no. 37. doi: https://doi.org/10.3390/a15020037.

Moradi M.H., Abedini M. A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power & Energy Systems, 2012, vol. 34, no. 1, pp. 66-74. doi: https://doi.org/10.1016/j.ijepes.2011.08.023.

Sultana S., Roy P.K. Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. International Journal of Electrical Power & Energy Systems, 2014, vol. 63, pp. 534-545. doi: https://doi.org/10.1016/j.ijepes.2014.06.031.

Sharma S., Bhattacharjee S., Bhattacharya A. Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine for optimal allocation of DG in radial distribution network. International Journal of Electrical Power & Energy Systems, 2016, vol. 74, pp. 348-373. doi: https://doi.org/10.1016/j.ijepes.2015.07.034.




How to Cite

Tebbakh, N., Labed, D., & Labed, M. A. (2022). Optimal size and location of distributed generations in distribution networks using bald eagle search algorithm. Electrical Engineering & Electromechanics, (6), 75–80. https://doi.org/10.20998/2074-272X.2022.6.11



Power Stations, Grids and Systems