Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 55 2 2023 12 01 Optimal Energy Management of Microgrids using Quantum Teaching Learning Based Algorithm 225 240 5121 10.22060/eej.2023.21881.5495 EN Zahra Esmaeili Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran 0000-0001-9534-3820 Seyed Hamid Hosseini Center of Excellence in Power System Management and Control, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran 0000-0001-8838-9433 Journal Article 2022 10 24 The most important challenge in microgrids is the coordination of distributed energy resources (DERs), due to the existence of several DERs with fugacious characteristics. In this paper, a robust frame associated with a quantum version of the Teaching-Learning-Based Optimization (quantum TLBO) algorithm is proposed for the first time for the microgrid optimal energy management problem. Uncertainties in the load and the output power of renewable energy sources are modeled using robust optimization (RO). The operation cost of the microgrid is considered as an objective function. The problem is formulated as a bi-level minimum-maximum optimization problem and is solved in two levels iteratively. First, by maximizing the operation cost of the microgrid, the worst case for the uncertain parameters is determined using Particle Swarm Optimization (PSO). Then, according to the results obtained in the first level, by minimizing the operation cost of the microgrid, the final optimal solution is obtained using the Quantum TLBO (QTLBO). This approach is applied to a grid-connected microgrid consisting of renewable energy sources, microturbines, fuel cells, and battery systems. The obtained simulation results demonstrate that the QTLBO is significantly superior to the TLBO, Differential Evolution, and Real-Coded Genetic Algorithm in terms of both achieving the final optimal solution and convergence speed. https://eej.aut.ac.ir/article_5121_70f250e2d762fbde8a2e70eabf6eb953.pdf