نشریه تحقیقات کاربردی در برق و کامپیوتر و سیستم های انرژی
پیاپی 1 (بهار 1402)

One of the most common issues in power distribution is the improvement of microgrid quality and the development of smart grids. Many applications that run at the microgrid level can be considered smart grid operators. In this thesis, two different control strategies have been presented and implemented for integrated improvement of power quality. The first control strategy is implemented using the fuzzy logic method and the second control strategy is implemented using the integral proportional controller in the microgrid energy system. By using this method, the micro-grid seeks to track the disturbances of the smart grid and improve the quality of the system with high flexibility. Finally, we compare the performance results of the proposed fuzzy logic controller with the conventional integral proportional controller.

The use of electronic government services has grown significantly in recent years in our country. Many organizations use these services to perform their tasks or serve customers. One of these organizations is social security. Since the insurance organizations in different countries by providing very important services in critical situations (such as the occurrence of accidents, illness or hospitalization, fire, etc.) play a very important role in the peace of mind of their customers, therefore, in order to reduce The costs and time required to benefit from the services, the use of e-government services have become mandatory in insurance organizations. In this case, in order to register various requests to receive various services available in insurance organizations, it is enough for customers to join the website or system created by those organizations through the Internet and submit their requests online. One of the most important things in the use of e-government services in insurance organizations is related to satisfying customers and gaining their trust. In this research, we are trying to investigate the effective factors in gaining the trust and satisfaction of customers using e-government services used in insurance companies.

The use of FACTS devices is increasing due to the improvement of the transmission capacity of lines and the reduction of losses and costs related to the power system, and for this reason, new devices are used. One of these tools is the of interline power flow controller (IPFC), whose main task is to control the inter-line power of the transmission system, and it is one of the newest FACTS tools. In this article, the placement and regulation of the controllable parameters of IPFC has been discussed in an optimal way. The main goal of this optimal placement of IPFC in a multi-objective manner in the power network is to simultaneously reduce system losses, cost, and also improve system load taking into account the relevant constraints. In order to carry out placement studies, the selection algorithm based on beam forming or PESA_II has been used, and the placement process has been carried out on the IEEE 30-bus network. The results show that all indicators have improved so that compared to the case where IPFC is not present in the network, active power loss (%) is reduced by 59.43, load capacity (%) is increased by 32.08, reactive power loss ( 26.63% reduction and power plant fuel cost has decreased 59.01%.document.

In recent years, The use of renewable energy has grown exponentially due to its many benefits, including no need for fuel and no harm to the environment. However, the use of renewable energy sources in power systems has caused new problems for these systems. In this regard, the study of the dynamic behavior of power systems, including farms or wind turbines, has been the focus of many researchers. In wind farms, one of the types of squirrel cage induction generators (SCIG) or double-fed induction generators (DFIG) is generally used. But both types of induction generators are used in a combined wind farm (CWF). But it should be noted that in order to improve the dynamic behavior of combined wind farms, it is necessary to use compensators in the system. STATCOM (static synchronous compensator) is widely used among the types of compensators. A STATCOM can quickly control the bus voltage connected to it by injecting or absorbing reactive power into the system. In this article, first, a power system connected to a hybrid wind farm is selected, in which a STATCOM is used in one bus. Then, a supplementary PID controller is used in the STATCOM structure to effectively dampen the fluctuations of the system variables in the face of errors. Also, the heuristic particle swarm optimization (PSO) method is used to determine the optimal values of the coefficients of the PID controller. But since determining the optimal coefficients of the PID controller using the PSO algorithm is a time-consuming task, an artificial neural network (ANN) is also used to estimate the controller parameters in time when the working conditions of the system change. The results of the performed simulations are presented and the correctness of the proposed method is confirmed. All simulations are done in MATLAB/Simulink software.

Reforming the consumption pattern and correcting extravagant behavior has been the concern of the Supreme Leader for about two decades, who warned about this issue many times and finally proposed 2008 as the year of reforming the consumption pattern. One of the issues that different countries are facing. It is an energy crisis. This crisis has prompted countries and organizations to have a different approach to this issue. In the meantime, many scientific and managerial solutions have been put into play. Among the factors that increase energy consumption is the lack of energy management. Based on this, energy management information systems have been used with hope and in this study, by reviewing the existing literature and considering Maheshshan Pisi's research group examines the information wires of energy management and information technologies in energy management, reducing the amount of energy consumption and also identifying the success factors of these systems. By using the results of this article, a new view can be obtained regarding the nature of information systems in energy management and saving, and a little new in the design of forward-looking strategies to create new competitive advantages by using the implementation and implementation of these success factors. Harvest systems.