Expert System for Automatic Analysis of Results of Network Simulation

Mohorko, J.; Klampfer, Saša; Fras, Matjaž; Čučej, Ž.

doi:10.5772/18170

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…ES's may possess quality information, probability theory, fuzzy set theory, and a series of arithmetic and logical rules, based on heuristic expectations. By using the knowledge acquired, an ES can analyze input information and make exit decisions, which are usually optimal [34].…”

Section: Expert Control Systemsmentioning

confidence: 99%

Expert Control Systems Implemented in a Pitch Control of Wind Turbine: A Review

et al. 2019

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Wind energy is the strongest renewable energy source developed in recent decades. Being systems that are directly connected to the grid of the electrical system, it is essential to use the maximum available power of the wind and obtain the maximum electrical power converted from the turbine. In this paper, the fundamental problem of the wind turbine is how to obtain at all times the maximum output power of the turbine in a wide range of wind speed. The randomness of the wind adds an intrinsic difficulty to be able to plan the available wind energy in advance. To solve this problem, it is not necessary to know the dynamic operation of the system; we must anticipate the control response to each one of the different probable scenarios. An expert control system can be used based on human knowledge and experience, which, through proper management of its variables and adequate control of criteria to manipulate stored data, provides a way to determine solutions. In other words, it is a model of the experience of professionals in this field. The more variables in the system are considered, the more complete the model will be, and the more information will be available for decision-making, with a more efficient system and higher results in power generation as a response. For this reason, the objective of this paper is to present expert systems developed in recent years and, thus, offer a control solution that approximates the conditions of different wind turbines.INDEX TERMS Artificial neural network, fuzzy logic, genetic algorithms, wind power generation, control systems.

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Section: Expert Control Systemsmentioning

confidence: 99%

Expert Control Systems Implemented in a Pitch Control of Wind Turbine: A Review

et al. 2019

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“…6] is displayed, the window is mainly composed of two parts: identity configuration (5) security and routing policies configuration (6). The flap (5) consists of two sections: HUB Configuration (7) and Spokes Configuration (8), the two sections are composed of the following fields: public IP address (9) outside interface (10), private IP address (11), subnet mask of private address (12), option (13) to reset all fields the current window.…”

Section: Demonstration and Guided Visitmentioning

confidence: 99%

“…The simulation of a large scale network such as DMVPN in a simulator such as Opnet Modeler requires a mastery of VPN technology and the simulator, and since these VPNs can be composed of hundreds sometimes thousands of sites its simulation by the manual method without mistakes is a big challenge, various works has been done in the automation of networks simulations for Opnet modeler [11,12] and the design of GUI-based tool for the conversion of simulation scenarios to the XML files meant for various simulators [13], unfortunately according to our research no automation model of generation and simulation of such networks was proposed, this is a good motivation to develop a new model for automating simulations of DMVPN networks for Opnet Modeler "DMVPN Automatic Simulation" and create a WEBbased tool for personalized management of projects.…”

Section: Introductionmentioning

confidence: 99%