Artificial Immunity Based Wound Healing Algorithm for Power Loss Optimization in Smart Grids

• Published in: Advances in electrical and computer engineering Vol. 20; no. 1; pp. 11 - 18
• Main Authors: CINAR, M., KAYGUSUZ, A.
• Format: Journal Article
• Language: English
• Published: Suceava Stefan cel Mare University of Suceava 01-02-2020
• Subjects: Algorithms; Antibodies; Antigens; Busbars; Cancer; Communication; Computer simulation; Efficiency; Electricity distribution; Energy; Graphical user interface; Human body; Immune system; Literature reviews; load flow; Mathematical models; Optimization; Optimization algorithms; optimization methods; Power loss; power system analysis computing; power system simulation; Smart grid; Smart grid technology; smart grids; Test systems; Wound healing
• ISSN: 1582-7445; 1844-7600
• DOI: 10.4316/AECE.2020.01002

In this study, a human immune system based wound healing algorithm is mentioned to optimize power losses in the smart grids. The smart grids are a concept that uses communication and control techniques to increase the efficiency of today's electrical systems, provide bidirectional communication and allow instant monitoring of the grid. The wound healing algorithm is computationally simulated in the event of a possible injury to the human body and there are very few publications on the proposed algorithm when the literature review is performed. Therefore, the proposed algorithm is capable of removing this gap in the literature. The codes are written in the Matlab GUI environment and applied to the IEEE 30-busbar system and power losses are tried to be optimized. Simulation results show that the actual power loss is significantly reduced. The obtained results were compared with the results of other algorithms that are available in the literature. The proposed wound healing algorithm has given more optimum and superior solutions than the other algorithms compared in terms of calculation time and optimum power loss values and it was emphasized that it was a more effective method in providing the solution.