OPTIMAL POWER MANAGEMENT OF DGS AND DSTATCOM USING IMPROVED ALI BABA AND THE FORTY THIEVES OPTIMIZER

Belkacem Mahdad

DOI Number
https://doi.org/10.2298/FUEE2301053M
First page
053
Last page
075

Abstract


In this study an improved Ali Baba and the forty thieves Optimizer (IAFT) is proposed and successfully adapted and applied to enhance the technical performances of radial distribution network (RDN). The standard AFT governed by two sensible parameters to balance the exploration and the exploitation stages. In the proposed variant a modification is introduced using sine and cosine functions to create flexible balance between Intensification and diversification during search process. The proposed variant namely IAFT applied to solve various single and combined objective functions such as the improvement of total power losses (TPL), the minimization of total voltage deviation and the maximization of the loading capacity (LC) under fixed load and considering the random aspect of loads. The exchange of active powers is elaborated by integration of multi distribution generation based photovoltaic systems (PV), otherwise the optimal management of reactive power is achieved by the installation of multi DSTATCOM. The efficiency and robustness of the proposed variant validated on two RDN, the 33-Bus and the 69-Bus. The qualities of objective functions achieved and the statistical analysis elaborated compared to results achieved using several recent metaheuristic methods demonstrate the competitive aspect of the proposed IAFT in solving with accuracy various practical problems related to optimal power management of RDN.


Keywords

Ali Baba and the forty thieves Optimizer, Integration of distributed generation, RDN, DSTATCOM, Power losses, loading capacity

Full Text:

PDF

References


B. Mahdad, "A novel tree seed algorithm for optimal reactive power planning and reconfiguration based STATCOM devices and PV sources", SN Applied Sciences, vol. 3, id. 336, 2021.

B. Mahdad, "Novel Adaptive Sine Cosine Arithmetic Optimization Algorithm For Optimal Automation Control of DG Units and STATCOM Devices", Smart Science, 2022.

A. Selim, S. Kamel, F. Jurado, "Capacitors Allocation in Distribution Systems Using a Hybrid Formulation Based on Analytical and Two Metaheuristic Optimization Techniques", Computers and Electrical Engineering, vol. 85, 106675, 2020.

A. A. A. El-Ela, R. A. El-Sehiemy, and A. S. Abbas, "Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems Using Water Cycle Algorithm", IEEE Systems Journal, pp.1-8, 2018.

A. M. Shaheen, A. M. Elsayed, A. R. Ginidi, E. E. Elattar, "Effective Automation of Distribution Systems With Joint Integration of DGs/ SVCs Considering Reconfiguration Capability by Jellyfish Search Algorithm", IEEE Access, vol. 9, pp. 92053-92069, 2021.

A. A. Z. Diab, H. Rezk, "Optimal Sizing and Placement of Capacitors in Radial Distribution Systems Based on Grey Wolf, Dragonfly and Moth–Flame Optimization Algorithms", Iran J Sci Technol Trans Electr Eng, vol. 43, pp. 77-96, 2019.

M. Dehghani, Z. Montazeri, O. P. Malik, "Optimal Sizing and Placement of Capacitor Banks and Distributed Generation in Distribution Systems Using Spring Search Algorithm", International Journal of Emerging Electric Power Systems, id. 20190217, 2020.

M. H. Moradi, M. Abedini, "A Combination of Genetic Algorithm and Particle Swarm Optimization for Optimal Distributed Generation Location and Sizing in Distribution Systems with Fuzzy Optimal Theory", International Journal of Green Energy, vol. 9, pp. 641-660, 2012.

F. E. Riaño, J. F. Cruz, O. D. Montoya, H. R. Chamorro and L. Alvarado-Barrios, "Reduction of Losses and Operating Costs in Distribution Networks Using a Genetic Algorithm and Mathematical Optimization", Electronics, vol. 10, no. 4, id. 419, p. 25, 2021.

E. A. Al-Ammar, K. Farzana, A. Waqar, M. Aamir, Saifullah, A. U. Haq, M. Zahid, M. Batool, "ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives", Ain Shams Engineering Journal, vol. 12, pp. 697-708, 2021.

S. Rezaeian-Marjani, S. Galvani, V. Talavat, M. Farhadi-Kangarlu, "Optimal allocation of D-STATCOM in distribution networks including correlated renewable energy sources", Electrical Power and Energy Systems, vol. 122, id. 106178, 2020.

A. A. Ogunsina, M. O. Petinrin, O. O. Petinrin, E. N. Offornedo, J. O. Petinrin, G. O. Asaolu, "Optimal distributed generation location and sizing for loss minimization and voltage profile optimization using ant colony algorithm", SN Applied Sciences, vol. 3, id. 248, 2021.

K. Balu, V. Mukherjee, vA Novel Quasi-oppositional Chaotic Harris Hawk’s Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Radial Distribution System", Neural Processing Letters, vol. 54, pp. 4051-4121, 2022.

M. H. Ali, S. Kamel, M. H. Hassan, M. Tostado-Véliz, H. M. Zawbaa, "An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks", Energy Reports, vol. 8, pp. 582-604, 2022.

A. P. Hota, S. Mishra, "Active power loss allocation in radial distribution networks with different load models and DGs", Electric Power Systems Research, vol. 205, id. 107764, 2022.

T. T. Nguyen, T. T. Nguyen, M. Q. Duong, "An improved equilibrium optimizer for optimal placement of photovoltaic systems in radial distribution power networks", Neural Computing and Applications, vol. 34, pp. 6119-6148, 2022.

S. M. Abd-Elazim, E.S. Ali, "Imperialist competitive algorithm for optimal STATCOM design in a multimachine power system", Electrical Power and Energy Systems, vol. 76, pp. 136-146, 2016.

S. M. Abd-Elazim, E.S. Ali, "Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm", Electrical Power and Energy Systems, vol. 80, pp. 240-251, 2016.

E. S. Ali, S. M. Abd Elazim, A. Y. Abdelaziz, "Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm", Electr Eng, vol. 16, no. 1, pp. 445-458, 2016.

T. T. Nguyen, K. H. Le, T. M. Phan, and M. Q. Duong, "An Effective Reactive Power Compensation Method and a Modern Metaheuristic Algorithm for Loss Reduction in Distribution Power Networks", Hindawi, Complexity, vol. 2021, id. 8346738, p. 21, 2021.

S. Kumar, K. K. Mandal and N. Chakraborty, "A novel opposition-based tuned-chaotic differential evolution technique for technoeconomic analysis by optimal placement of distributed generation", Engineering Optimization, vol. 52, no. 2, pp. 303-324, 2019.

A. Eid, S. Kamel & E. H. Houssein, "An enhanced equilibrium optimizer for strategic planning of PV-BES units in radial distribution systems considering time-varying demand", Neural Computing and Applications, vol. 34, pp. 17145–17173, 2022.

H.-J. Wang, J.-S. Pan, T.-T. Nguyen, S. Weng, "Distribution network reconfiguration with distributed generation based on parallel slime mould algorithm", Energy, vol. 244, part B, id. 123011, 2022.

G. V. N. Lakshmi, A. Jayalaxmi & V. Veeramsetty, "Optimal Placement of Distribution Generation in Radial Distribution System Using Hybrid Genetic Dragonfly Algorithm", Technology and Economics of Smart Grids and Sustainable Energy, vol. 6, id. 9, 2021.

M. Sodani, H. H. Aly, T. A. Little, "Optimal Planning of Distributed Generation Using Improved Grey Wolf Optimizer and Combined Power loss Sensitivity", In Proceedings of the 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2021, id. 21380949.

T. T. Nguyen, T. D. Pham, L. C. Kien, and L. V. Dai, "Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems", Complexity, vol. 2020, p. 34, id. 1603802, 2020.

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

K. H. Truong, P. Nallagownden, I. Elamvazuthi, D. N. Vo, "An improved meta-heuristic method to maximize the penetration of distributed generation in radial distribution networks", Neural Computing and Applications, vol. 32, no. 1, 2019.

C. Venkatesan, R. Kannadasan, M. H. Alsharif, M.-K. Kim, and J. Nebhen, "A Novel Multiobjective Hybrid Technique for Siting and Sizing of Distributed Generation and Capacitor Banks in Radial Distribution Systems", Sustainability, vol. 13, no. 6, id. 3308, 2021.

M. Braik, M. H. Ryalat, H. Al-Zoubi, "A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves", Neural Computing and Applications, vol. 34, pp. 409-455, 2022.

R. D. Zimmerman, C. E. Murillo-Sanchez, R. J. Thomas, "MATPOWER: steady-state operations, planning and analysis tools for power systems research and education". IEEE Trans Power Syst, vol. 26, pp. 12-19, 2011.


Refbacks

  • There are currently no refbacks.


ISSN: 0353-3670 (Print)

ISSN: 2217-5997 (Online)

COBISS.SR-ID 12826626