Distribution System Reconfiguration with variable demands using the Opt-aiNet algorithm

• Published in: 2016 13th International Conference on the European Energy Market (EEM) pp. 1 - 5
• Main Authors: Souza, Simone S. F., Romero, Ruben, Pereira, Jorge, Saraiva, Joao T.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Algorithms; Artificial Immune Systems; Cloning; Conferences; Demand; Distribution System Reconfiguration; Electronics; Encoding; Network topology; Networks; Opt-aiNet; Optimization; Reconfiguration; Robustness; Sociology; Statistics; Topology; Variable Demands
• ISSN: 2165-4093
• DOI: 10.1109/EEM.2016.7521352

This paper describes the application of the Opt-aiNet algorithm to the reconfiguration problem of distribution systems considering variable demand levels. The Opt-aiNet algorithm is an optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with variable demands is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of power losses along an extended operation period. This work includes results of the application of the Opt-aiNet algorithm to distribution systems with 33, 84, 136 and 417 buses. These results demonstrate the robustness and efficiency of the proposed approach.