Ivan R. S. Casella

Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

This paper presents a performance analysis of a wireless direct power control system for switched reluctance aerogenerators. Aiming at a smart grid scenario, the utilization of wireless technologies for transmitting control information requires a powerful modulation and error-correction coding schemes to avoid any serious problems to the energetic plant. These transmission errors can cause permanent damages in the components of the turbine and converters, and they can also compromise the quality of the energy delivered to the grid. The performance of the proposed system is investigated in a frequency-selective fading channel, thus enabling a deeper study of the impact of the use of wireless communications for reference signal transmissions. This research demonstrates the operational viability of wireless systems for this type of application, when an appropriate digital modulation and coding techniques are applied.

Analysis of turbo coded OFDM systems employing space-frequency block code in double selective fading channels

Transmit diversity can be applied to orthogonal frequency division multiplexing (OFDM) systems by adopting space-frequency block coding (SFBC). To carry out simple linear decoding, it is usually assumed that the channel remains constant within an OFDM symbol. However, this assumption becomes unreliable when the system operates in a severe multipath environment presenting time and frequency selective fading. Due to this fact and that the received signal is composed by overlapped signals transmitted from different transmit antennas, channel estimation is rather challenging in SFBC-OFDM systems. In this paper, we analyze the performance of a SFBC- OFDM system employing turbo coding and a channel estimation scheme based on frequency domain comb-type pilot insertion and linear and spline interpolation to improve the performance of conventional SFBC-OFDM systems in double selective fading channels. Simulation results show that linear interpolation is more adequate for turbo SFBC-OFDM systems.

A wind energy generator for smart grid applications using wireless-coded neuro-fuzzy power control

Wind energy is the major driver to obtain an optimized and efficient use of renewable energy in smart grids. To provide balanced supply, demand, and storage of energy in a much more efficient manner than is done today, smart grids require the employment of an advanced communication infrastructure associated to a robust power control and real-time monitoring systems.Towards this objective, we present a wireless-coded power control scheme for doubly fed induction generators operating at variable speed. The proposed system employs adaptive neuro-fuzzy control, quaternary phase shift-keying modulation, and low-density parity check coding techniques to improve the system robustness and reliability in different propagation conditions for remotely transmitting the power control references from the control center to a given aerogenerator.

Power line communication technology in industrial networks

The PLC technology could be an additional alternative on the market for data transmission in industrial applications, like networks used to controlling machines and collecting sensor readings at field level. This paper presents a study about the industrial needs concerning data transmission, the sources of interference and attenuation for PLC signal in industry and the best technology available for these applications. The results of real communication tests with G3-PLC MODEMs working in a physically simulated industrial environment are presented. Different bands and subcarrier modulations were tested in order to recommend the one with best performance.

A wireless deadbeat power control for wind power generation systems in smart grid applications

This paper proposes a wireless deadbeat power control scheme employing low density parity check coding for variable speed wind power generation (the wind industry is the huge driver behind the push for super-grids and cross-border infrastructure) to improve system robustness and reliability. The wind energy systems uses a doubly-fed induction generator and a deadbeat control. The performance improvements of the proposed system are investigated in different propagation conditions by using simulations results.

A wind energy generator for smart grid applications using wireless coding neuro-fuzzy power control

The wind energy generation is the huge driver behind the push for supergrids and cross-border infrastructure for renewable energy systems into smart grids. To provide balance supply, demand, and storage of energy over a region in a much more efficient manner than it is done today, smart grids will need to use an advanced communication infrastructure into a robust control system. Towards this objective, it is proposed in this paper a wireless coding power control employing low density parity check coding to improve system robustness and reliability. For variable speed operation, the wind energy system uses a doubly-fed induction generator and a neuro-fuzzy controller. The performance improvements of the proposed system are investigated in different propagation conditions.

Mobile application for residential energy consumption scheduling employing GA

This article aims to present a mobile application to remotely optimize the use of household appliances in a home based on the dynamic variation of electricity price throughout the day. The customer defines the limits of hourly consumption and the use time interval of each appliance throughout the day in the mobile application, and it communicates with Matlab software installed on a computer to perform the scheduling optimization through a genetic algorithm.

An Adaptive Neuro-Fuzzy Strategy for a Wireless Coded Power Control in Doubly-Fed Induction Aerogenerators

Renewable energy systems and specially wind energy have attracted governmental interests in opposition to energy sources that increase CO2 emissions and cause enormous environmental impact. Recently, the concept of smart grid has been applied to power plants to enable and optimize the generation of energy by efficiently combining wind, solar and tidal. Moreover, the efforts for consolidation and implementation of this new concept through wind energy systems have attracted great interest from the technical community and has been the focus of several recent scientific works [1–3].

Wireless communication applied in a grid tie converter control for renewable sources

This paper proposes a predictive power control for a converter connected to the grid. The power references are sent by a wireless channel with the focus to control renewable sources. The three-phase converter controls the power injected to the grid using a predictive control technique. Simulation results are presented to validate the system operation.

CMOS Low Noise Amplifier Topology Using Compact Wu Folded Active Inductor

This work presents a topology proposal of a 0.35um CMOS cascode low noise amplifier using an active inductor. The inductance required to output of cascode pair is synthesized by an active inductor in Compact Wu Folded configuration. The LNA presents a gain of 12.04 dB with a noise figure of 4.78 dB at 1.8 GHz. The layout is presented occupying an active area of 0.165 mm2. The results are satisfactory, validating a compact design and demonstrating the technical feasibility of this topology in the band of interest.