Fatemeh Daneshfar

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A new intelligent agent based control scheme, using Bayesian networks (BNs), to design automatic generation control (AGC) system in a multi-area power system is addressed. Model independency and flexibility in specifying the control objectives, make the proposed approach as an attractive solution for AGC design in a real-world power system. The proposed(More)
Recently, several modern control theory designs like H1 have been applied to the load–frequency control (LFC) problem optimization technique. However, the importance and difficulties in the selection of weighting functions of these approaches and the pole-zero cancellation phenomenon associated with it produces closed loop poles. In addition, the order of(More)
The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic control. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devises an adaptive and cooperative multi-agent fuzzy system for a(More)
OBJECTIVE This study was conducted to evaluate the effectiveness of sexual counseling based on the Permission, Limited Information, Specific Suggestion, Intensive Therapy (PLISSIT) model on the Sexual Dysfunction (SD) of married sexually active women who suffer from Multiple Sclerosis (MS). This is the first sexual intervention applied by a midwife as a(More)
Automatic generation control (AGC) is one of the important control problems in electric power system design and operation, and is becoming more significant today because of increasing renewable energy sources such as wind farms. The power fluctuation caused by a high penetration of wind farms negatively contributes to the power imbalance and frequency(More)
Conventional load-frequency control (LFC) systems use proportional-integral (PI) controllers. These controllers are designed based on a linear model and the nonlinearities of the system are not accounted for. Then they are incapable to gain good dynamical performance for a wide range of operating conditions. A control strategy for solving this problem in a(More)
Frequency regulation in interconnected networks is one of the main challenges in power systems. Significant interconnection frequency deviations can cause under/over frequency relaying and disconnect some loads and generations. Under unfavorable conditions, this may result in a cascading failure and system collapse. A control strategy for solving this(More)
Frequency regulation in interconnected networks is one of the main challenges posed by wind turbines in modern power systems. The wind power fluctuation negatively contributes to the power imbalance and frequency deviation. This paper presents an intelligent agent based load frequency control (LFC) for a multi-area power system in the presence of a high(More)
The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic control. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised an adaptive and cooperative multi-agent fuzzy system for a(More)