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Publications

2012

Evaluation of an Energy Loss-Minimization Algorithm for EVs Based on Induction Motor

Authors
Melo, P; de, R; Esteves, R;

Publication
Induction Motors - Modelling and Control

Abstract

2012

Design and Implementation of a Circuit for Mesh Networks with Application in Body Area Networks

Authors
Derogarian, F; Ferreira, JC; Grade Tavares, VM;

Publication
15th Euromicro Conference on Digital System Design, DSD 2012, Cesme, Izmir, Turkey, September 5-8, 2012

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.

2012

Reserve Setting and Steady-State Security Assessment Using Wind Power Uncertainty Forecast: A Case Study

Authors
Bessa, RJ; Matos, MA; Costa, IC; Bremermann, L; Franchin, IG; Pestana, R; Machado, N; Waldl, HP; Wichmann, C;

Publication
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY

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.

2012

Price-Maker Strategies of a Hydro Producer in a Day-ahead Electricity Market

Authors
Pousinho, HMI; Catalao, JPS; Contreras, J;

Publication
2012 16TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (MELECON)

Abstract
In this paper, a stochastic mixed-integer linear programming approach is proposed to find the optimal operations planning of a hydro producer acting as a risk-neutral price-maker trading in the day-ahead market based on a pool. The proposed approach optimizes a set of scenarios using as decision variables the amount of power supplied by each generation unit facing the 24-hours residual demand curves of each scenario. The supply competitive curves are built and the optimal bidding strategy is developed in the day-ahead market, in order to maximize the expected profit of the price-maker hydro producer. Results from a real-world case study are presented. Finally, conclusions are duly drawn.

2012

Simulation and solving the descriptive equations on the voltage breakdown in ultra-quick circuit breakers

Authors
Moradi, A; Noshad, B; Javadi, MS;

Publication
Indian Journal of Science and Technology

Abstract
This paper presents descriptive equations on the voltage breakdown in ultra-quick circuit breakers (UQCB). In this paper, main breakdown characteristics of UQCB's are presented. Gaseous breakdown in the sub-nanosecond regime is of interest for fast pulsed power switching, short pulse electromagnetics, and for plasma limiters to protect devices from high power microwave radiation. In order to study pulsed gas breakdown initiation dynamics, a sub-nanosecond voltage pulse is simulated by Electro-Magnetic Transient Program (EMTP). © Indian Society for Education and Environment (iSee).

2012

Forecasting Issues for Managing a Portfolio of Electric Vehicles under a Smart Grid Paradigm

Authors
Bessa, RJ; Matos, MA;

Publication
2012 3RD IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE)

Abstract
In order to participate in the electricity market, electric vehicles (EV) need to be aggregated by a market agent, since the current rules do not allow the participation of small loads. The EV aggregator purchases electrical energy for charging its clients, and can offer reserve services. This activity requires forecasting methods for several variables. This paper presents a global view of the relevant variables for an EV aggregation agent participating in the electricity market and discusses the associated forecasting issues. The load forecast problem for direct and indirect control of the EV charging process is discussed. Variables from the market-side, such as reserve price and direction, are also addressed. Existing approaches are reviewed, discussed and tested according to different metrics.

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