One of the main problems in wind energy conversion system (WECS) is how to achieve maxim‌u‌m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst‌e‌ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...

Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on invest...

This paper is about a PV system connected to the electric grid by power electronic converters, using classical PI controller. The modelling for the converters emulates the association of a DC-DC boost with a two-level power inverter (TwLI) or three-level power inverter (ThLI) in order to follow the performance of a testing experimental system. Pulse width modulation (PWMo) by sliding mode contr...

RFIDs, sensor networks and low-power microcontrollers are increasingly applied in logistics. They are characterized by restrictions on calculation power, communication range and battery lifetime. In this article we consider how these new technologies can be utilized for autonomous cooperation and how these processes could be realized on systems with limited resources. Besides tracing of the cur...

this study based on investigation for integration wind power into conventional power system with its impact on fossil fuel generators and their generation management. wind power as environmental friendly energy source can reduce the operational cost of the system due to considering no cost for energizing the generator in comparing with fossil fuel generators. however due to unpredictable nature...

According to the growing trend of IT-based systems, implementation of computerized maintenance management system (CMMS) in Iran’s power industry can dramatically help in optimized management of maintenance activities, and thereby, reducing equipment failures, increasing reliability, increasing product stability and, above all, increasing efficiency and productivity of the employees of this indu...

Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. Most of the existing systems are domainand language-dependent. The power of retargetability and applicability of these systems is limited. This paper investigates the effect of the combination of HMMs and PPM on token...