Abstract
The losses in networks of Beninese Electrical Energy Company (SBEE) are very high and therefore constitute a concern for the operators. This work consisted in finding an optimal topology of a 41 nodes real network of SBEE by Modified Ant Colony Algorithms (MACA) in order to reduce the losses and ensure a continuous power supply to the customers in case of occurrence disturbances on any branch of this network. With technological breakthrough of Automation and Supervision Systems (SCADA), the operation of distribution networks can be ensured remotely in real time with the aim of minimizing losses, eliminating equipment overload and improving reliability. The criteria of technical performance improvement formulated under operating constraints are solved by Modified Ant Colony Algorithm (MACA) which is association of ant system and fuzzy logic on the Matlab platform. The best results obtained show the effectiveness and efficiency of this method. The SBEE's HVA networks can then be reconfigured automatically to significantly improve their continuity of supply and reliability. The improved results obtained after tests on a standard 33-nodes and a real 41 nodes networks show the robustness and accuracy of this MACA algorithm.
Highlights
Distribution networks is very important in energy flow chain and take an important part of the electrical industry's facilities, to the point where 30% to 40% of dedicated investments in the energy sector are devoted to it but do not receive necessary technological impact [1]
The results of Modified Ant Colony Algorithm (MACA) applied to this network are presented in table 3: It is observed that according to references [18] and [19], which found respective losses of 135.47 kW and 139.5 kW as a result of the simulation, MACA decreased these losses to 121.56 kW, a performance of 43.38%
This paper is about of distribution networks reconfiguration to improve the quality of power supply and decrease losses under operating constraints
Summary
Distribution networks is very important in energy flow chain and take an important part of the electrical industry's facilities, to the point where 30% to 40% of dedicated investments in the energy sector are devoted to it but do not receive necessary technological impact [1] These distribution systems, constructed in a loop structure, are operated in a radial configuration in order to ensure the coordination, efficiency and effectiveness of the protection systems. Several other methods have been developed and oriented towards programming based on the C-language, genetic algorithms [6], evolutionary programming [7] which proposed a reconfiguration of distribution networks by the heuristic permutation method compared to the TABOU method They found that the method of branch switching makes satisfactory results over the other. In this paper, Modified Ant Colony Algorithms (MACA) are developed and tested on a standard 33 nodes network and on 41 real nodes of Benin Electrical Energy Company (SBEE)
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