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Multi-Criteria Optimization of the Functionning of a Distribution Network in Normal Operating Regime


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DOI: https://doi.org/10.15866/iree.v13i4.14401

Abstract


The growth of loads on distribution networks and the delay in investment in energy field are driving power systems operators to operate their power grids beyond allowed limits. This mode of operation of the networks generates more distribution losses and violations of the normative voltage ranges. This paper presents the multi-objective optimization of electrical distribution network operation under operational and safety constraints. Since load-flow analysis is the basis for any optimization and planning, and given that radial topology of distribution networks are characterized by high R/X ratio and imbalances, are not adapted and converge with difficulty. An algorithm based on the "backward – forward sweep" principle is developed in MATLAB environment for permanent network regime computation and is tested on a IEEE 33-bus network before it is applied to a 41-bus network of the Beninese Society of Electrical Energy (SBEE). The genetic algorithm (NSGA II) is implemented to optimize the operation of distribution network and the proposed model implemented in MATLAB made it possible, from the reference data of the SBEE test network, to minimize the losses and to reduce the voltage drops under thermal constraints of the conductors.
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Keywords


Metaheuristic; NSGA-II Algorithm; Stochastic Methods; Crowding Distance; Genetic Algorithm

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References


A. Merlin, H. Back, Search for a minimal-loss operating spanning tree configuration in an urban power distribution system, Proceedings of 5th Power System Computation Conference (PSCC), Cambridge, UK, 1975, pp. 1-18.
http://dx.doi.org/10.23919/pscc.2018.8443003

S. A. Nagy, I. S. Ibrahim, M. K. Ahmed, A. S. Adail and S. Soliman, Network Reconfiguration for Loss Reduction in Electrical Distribution System Using Genetic Algorithm, Faculty of engineering, El-Azhar University, Cairo, Egypt 2012.

M. F. Sulaima, M. S. Shida, A 16 kV Distribution Network Reconfiguration by Using Evolutionaring Programming for Loss Minimizing, International Journal of Applied Engineering Researchm 9(10):1223-1238•May 2014

Ion Tristiu, Mirca Eremia, Reconfiguration multicritère pour l’optimisation du fonctionnement des réseaux électriques de distribution.

Essa J. Abdul Zehra, Mahmoud Moghavvemi, Network Reconfiguration Using PSAT for Loss Reduction in Distribution Systems, Iraq, J. electrical and electronics Engineering Vol 6.N°1 2010.

Tomoiagă, B., Chindriş M., Sumper A. R, Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II, Energies 6, (2013), pp. 1439-1455.
http://dx.doi.org/10.3390/en6031439

Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan, A. Fast and Elitist, Multiobjective Genetic Algorithm: NSGA-II, IEEE transactions on evolutionary computation 6, (2002).
http://dx.doi.org/10.1109/4235.996017

Patrick Siarry, Metaheuristiques, edition Eyrolles 61,bd sainte –germain www.edition .eyrolles.com

Abdellatif Hamouda, Improved algorithm for radial distribution networks load flow solution, university Ferhat Abbas 19000 setif, Algeria,33(2011), pp. 508-514.

Manikandan, S., Sasidharan, S., Viswanatharao, J., Moorthy, V., Fuzzy Satisfied Multiobjective Distribution Network Reconfiguration: an Application of Adaptive Weighted Improved Discrete Particle Swarm Optimization, (2017) International Review on Modelling and Simulations (IREMOS), 10 (4), pp. 247-257.
http://dx.doi.org/10.15866/iremos.v10i4.12267

Shamsudin, N., Iszhal, N., Abdullah, A., Basir, M., Sulaima, M., An Improved Crossover Genetic Algorithm with Distributed Generator (DG) Installation for DNR Restoration in Reducing Power Losses, (2015) International Review on Modelling and Simulations (IREMOS), 8 (5), pp. 566-575.
http://dx.doi.org/10.15866/iremos.v8i5.6983

Galgali, V., Ramachadran, M., Vaidya, G., Techniques for Optimal Placement and Sizing of Distributed Energy Resources: a Review, (2017) International Review of Automatic Control (IREACO), 10 (6), pp. 468-475.
http://dx.doi.org/10.15866/ireaco.v10i6.14154

Syahputra, R., Robandi, I., Ashari, M., Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 293-304.
http://dx.doi.org/10.15866/iree.v10i2.5410

Annathurai, V., Gan, C., Ibrahim, K., Baharin, K., Ghani, M., A Review on the Impact of Distributed Energy Resources Uncertainty on Distribution Networks, (2016) International Review of Electrical Engineering (IREE), 11 (4), pp. 420-427.
http://dx.doi.org/10.15866/iree.v11i4.8911

Muthukumar, K., Jayalalitha, S., Ramaswamy, M., PSO Embedded Artificial Bee Colony Algorithm for Optimal Shunt Capacitor Allocation and Sizing in Radial Distribution Networks with Voltage Dependent Load Models, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 305-320.
http://dx.doi.org/10.15866/iree.v10i2.5481

Gianto, R., Hie Khwee, K., A New Method for Load Flow Solution of Electric Power Distribution System, (2016) International Review of Electrical Engineering (IREE), 11 (5), pp. 535-541.
http://dx.doi.org/10.15866/iree.v11i5.9993

Galgali, V., Ramachadran, M., Vaidya, G., Techniques for Optimal Placement and Sizing of Distributed Energy Resources: a Review, (2017) International Review of Automatic Control (IREACO), 10 (6), pp. 468-475.
http://dx.doi.org/10.15866/ireaco.v10i6.14154

Goudjil, K., Sbartai, B., Optimization of Shear Wave Velocity (Vs) from a Post-Liquefaction Settlement Using a Genetic Algorithm Multi-Objective NSGA II, (2017) International Review of Mechanical Engineering (IREME), 11 (3), pp. 175-180.
http://dx.doi.org/10.15866/ireme.v11i3.11226

Jafari, H., Mahmoudi, M., Ahmadkhani, F., A Complementary SVC-Based Controller Design for Damping Both Local and Inter-Area Oscillating Modes Using NSGA-II Algorithm, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 69-77.
http://dx.doi.org/10.15866/iree.v11i1.7607


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