Abstract
An electric vehicle (EV) aggregation agent, as a commercial middleman between electricity market and EV owners, participates with bids for purchasing electrical energy and selling secondary reserve. This paper presents an optimization approach to support the aggregation agent participating in the day-ahead and secondary reserve sessions, and identifies the input variables that need to be forecasted or estimated. Results are presented for two years (2009 and 2010) of the Iberian market, and considering perfect and naive forecast for all variables of the problem.

Abstract
This paper present a novel hybrid approach based on a combination of wavelet transform (WT), evolutionary particle swarm optimization (EPSO) and adaptive-network-based inference system (ANFIS), for short-term wind power forecasting in Portugal. The accuracy of the wind power forecasting attained with the proposed approach is evaluated, reporting its proficiency from a real-world case study in comparison with other methodologies. Conclusions are duly drawn.

Abstract
Conventional second harmonic current restriction approach is an adopted method which has been implemented to transformer differential protection schemes. Because of unreliable nature of this approach in discrimination between inrush current, internal faults and external faults and due to the saturation of current transformers, we present new features of the differential protection scheme. This helps to determine the feasibility and applicability of the proposed approach in differential protective scheme for power transformer. The Current Transformer Saturation (CTS) phenomenon issue and its revelation is one of the most significant problems in power system protection particularly in the differential protection. In this paper, the saturation phenomenon and its effects on the differential protection are analyzed. Prevalent algorithms in digital signal processing which are implemented in power system cannot correctly recognize this phenomenon. Mal-operation of differential protection relay takes place when saturation in CT is appeared. This paper presents a Third-Difference Algorithm (TDA) for CTS recognition. In order to make comparison between the presented approach and prevalent digital protective algorithm, an identical case study is simulated. Simulation results also show that the TDA is both satisfactory and consistent with expectation. © Indian Society for Education and Environment (iSee).

Abstract

Abstract
This paper presents a network circuit for wearable low-power BAN (Body Area Networks) applications, geared towards mesh network topologies with conductive yarns as transmission channels. The design and implementation of the physical and MAC layers is described. The resulting circuit sends and receives data simultaneously, and experimental results indicate that the proposed system works with variable data rates, up to a maximum of 9+9 Mbps. All reported measurements were collected from working FPGA-based prototypes, and the performance achieved shows that the circuit is suitable for use in reliable high-speed low-power BAN applications. © 2012 IEEE.

Abstract
This paper reports results and an evaluation methodology from two new decision-aid tools that were demonstrated at a Transmission System Operator (REN, Portugal) during several months in the framework of the E. U. project Anemos. plus. The first tool is a probabilistic method intended to support the definition of the operating reserve requirements. The second is a fuzzy power flow tool that identifies possible congestion situations and voltage violations in the transmission network. Both tools use as input probabilistic wind power predictions.