XML Persian Abstract Print

1- Tabriz University
2- Urmia Branch,
Abstract:   (1368 Views)
     Micro grids are regarded to be crucial due to the development of communication facilities, production equipment, power storage and high utilization of renewable energy. However, micro grids are faced with the problem of frequency fluctuations in island mode because of high fluctuations in the production power of renewable sources. In this paper, the super capacitor has been used to increase the virtual inertia of the network along with the control system for energy storage and production systems in order to overcome the challenge mentioned earlier. Meanwhile, the optimal value of communication systems delay is also considered in the frequency settings of the micro grid.
          The system frequency behavior is simulated against load and power generation variations to evaluate the performance of the proposed strategy. Given the increased cost of the system due to increased super capacitor capacity and the reduction of communication  delay against the improvement of micro grid frequency fluctuations, a multi-objective optimization method is used to regulate the load frequency (LFC) controllers parameters and  achieve minimum cost. The simulations of the network in question have been carried out in MATLAB / SIMULINK software. In this article, the cost reduction of operation of the microgrid due to the low capacity of the installed supercapacitor unit and communication systems with acceptable delay achievement are the most important innovational aspects of the current research. Furthermore, no battery units are required in the current paper thanks due to the presence of the supercapacitor. Batteries may cause problems for the network due to their low life and high maintenance costs. Simulation results have demonstrated that the system with optimal control parameters values, super capacitor capacity and communication s system delay has been able to overcome load and power generation disturbances, and the system frequency behavior is significantly improved in comparison with the non-optimal state
Type of Article: Research paper | Subject: Special
Received: 2018/07/28 | Accepted: 2019/12/9 | ePublished ahead of print: 2020/10/5 | Published: 2019/08/15