Humanity is currently facing a global energy crisis. This is due to the shortage in the conventional energy resources while the demand for energy is rising. In response to this crisis, research in designing more energy efficient systems has gained significant importance. The Microgrids (MGs) are one of the main key elements in giving significant momentum to efficient decentralized energy generation.
From the perspective of MGs power management, economical scheduling for generators, energy storage, and demand loads are critical. Performance optimization processes are needed to minimize the operating costs while considering operational constraints.
In this thesis, the optimal power flow problem for managing energy sources with storage devices is presented for dc microgrids. The power management model has been examined in various scenarios. One of them is based on a network of a six-bus power system, including an energy storage device coupling at a certain bus. The other scenario is based on the same model but including more energy storage devices.
After analyzing the results of these scenarios, several conclusions have been made such as when the energy storage should charge/discharge to minimize costs. The study shows the feasibility of optimal power flow operation in DC microgrids.
Electrical Engineering (MS)
Department, Program, or Center
Electrical Engineering (KGCOE)
Juan Carlos Cockburn
Luis Carlos Herrera
Alzahrani, Abdullah Mohammed, "Convex Optimization Approach to the Optimal Power Flow Problem in DC-Microgrids with Energy Storage" (2018). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus