Due to the high efficiency and low switching LOSSES of resonant POWER convertors in comparison with switching convertors, nowadays there is a growing trend towards these convertors. However, because of the high frequency of switching in such convertors, it is quite difficult to present an efficient control method. In this paper, based on the state feedback method and using pole placement technique a control strategy is developed which controlling delay time in the converter’s switching to minimize LOSSES in the induction and hardening furnaces. In the propose method, the input voltage is isolated from output load. Moreover, fewer number of elements are employed in the control circuit which will be caused lower costs and small dimensions for control system. As a result, the proposed controller is more economical in comparison with the conventional ones. To show the effectiveness of propose controller, simulation circuits using PSIM software and an experimental setup are provided and the results are reported.

The presence of package inductance induces large voltage fluctuation (bounce noise) on the POWER rail during POWER down to POWER up transition in the POWER gating circuit that may cause unwanted transitions in neighboring circuits. In this work, a POWER gating architecture is developed for minimizing POWER in active mode. Noise for the architecture has also been analyzed. The effect of various noise MINIMIZATION approaches for reducing POWER supply noise have been evaluated in POWER gating architecture. A new concept of noise MINIMIZATION technique using Low Dropout Voltage Regulator has been proposed in this paper. The amount of charge in the internal nodes that passes through the sleep transistor during the wake-up transition has been controlled by the proposed noise MINIMIZATION techniques. The Low Dropout Voltage Regulator is designed with a target of reducing bounce noise by minimizing voltage fluctuations on the POWER rail. Low noise active mode POWER gating architectures have been designed in Synopsys Custom Designer tool at iPDK 90nm technology. Saving of noise at the POWER supply rail has been observed up to 99%.

In recent decades, because of some main and principle world problems such as increasing the population, global warming, climate changes, and fossil fuel sources reduction, the using of renewable energies has impressively increased that can solve and reduce the caused problems by traditional POWER plants, and also can control POWER system the important indexes such as LOSSES, voltage drop, transferring capacity. Reactive POWER has an important role in controlling and minimizing of LOSSES, the optimal distribution of reactive POWER in presence of Distributed generation (DG) units in distribution networks is an important and key problem. In this paper, for uncertainties modelling of DG units and optimizing the reactive POWER, the statistical-quality based Taguchi method and Genetic algorithm are used, respectively.  The simulation of this paper is checked and done in MATLAB and MINITAB using IEEE 57-bus standard network, and simulation results show 5.5 MW reduction of the distribution network LOSSES.

In this paper, a novel risk-based, two-objective (technical and economical) optimal reactive POWER dispatch method in a wind-integrated POWER system is proposed which is more consistent with operational criteria.  The technical objective includes the MINIMIZATION of the new voltage instability risk index. The economical objective includes cost MINIMIZATION of reactive POWER generation and active POWER loss. The proposed voltage instability risk employs a hybrid possibilistic (Delphi-Fuzzy)-probabilistic approach that takes into consideration the operator’s experience, the wind speed and demand forecast uncertainties when quantifying the risk index. The decision variables are the reactive POWER resources of the system. To solve the problem, the modified multi-objective particle swarm optimization algorithm with sine and cosine acceleration coefficients is utilized. The method is implemented on the modified IEEE 30-bus system. The proposed method is compared with those in the previously published literature, and the results confirm that the proposed risk index is better at estimating the voltage instability risk of the system, especially in cases with severe impact and low probability. In addition, according to the simulation results compared to typical security-based planning, the proposed risk-based planning may increase the security and economy of the system due to better utilization of system resources.

The inverter is one of the main components of photovoltaic POWER plants. Since the POWER output of the POWER plant is directly related to the inverter's performance, the inverter LOSSES have an important effect on the generation and efficiency of the photovoltaic plant. The most important of inverter LOSSES are the inverter clipping and inverter efficiency LOSSES. Some factors affecting clipping LOSSES and inverter efficiency are the sea surface height, ambient temperature, input POWER DC, wind speed, air density, radiation, and so on. Due to the high radiation potential, the wide area, and the variety of climate in Kerman province, in this article, Kerman province has been selected for the installation of photovoltaic POWER plants and the effects of environmental factors on inverter clipping LOSSES and inverter efficiency are studied in different areas of Kerman. In simulating the effects of several factors such as wind speed, radiation, altitude, ambient temperature, wiring LOSSES, inverter POWER consumption during operation and at the night, shadow and dust LOSSES are considered. In addition, the effect of the inverter DC to AC ratio on the inverter clipping LOSSES, POWER generation capacity, and on the capacity factor of photovoltaic plant have been investigated.