Showing papers in "Electric Power Systems Research in 2011"

TL;DR: In this paper, the main challenges to the security constrained optimal power flow (SCOPF) computations are discussed, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables.

TL;DR: There could be a good combination with PHEVs as they can provide storage to take care of the excess of produced energy and use it for driving or release it into the grid at a later time, in that way, consumption and generation are more efficiently matched.

TL;DR: In this article, a multi-agent system for energy resource scheduling of an islanded power system with distributed resources, which consists of integrated microgrids and lumped loads, is proposed.

TL;DR: In this paper, the authors investigated the topologies of multiterminal HVDC-VSC transmission systems for large offshore wind farms, particularly the maximum power loss allowed in the event of a fault.

TL;DR: In this paper, the authors presented an efficient and reliable evolutionary-based approach to solve the reactive power dispatch (RPD) problem, which employs differential evolution (DE) algorithm for optimal settings of RPD control variables, and tested on the standard IEEE 30-bus test system with different objectives that reflect power losses minimization, voltage profile improvement, and voltage stability enhancement.

TL;DR: In this article, the authors proposed two methods of maximum power point tracking using a fuzzy logic and a neural network controller for photovoltaic systems, which are validated on a 100 Wp PVP (two parallels SM50-H panel) connected to a 24 V dc load.

TL;DR: In this article, several methods of power system harmonics estimation are critically reviewed and classified based on the type of analysis tool and applications and the key issues and challenges in harmonics estimations are highlighted.

TL;DR: In this paper, the authors present a critical review of the state of the art in multi-area state estimation (MASE) methods, which are currently gaining renewed interest due to their capability of properly tracking multi-TSO transactions and accommodating highly redundant information systems.

TL;DR: In this paper, an extended topological method has been proposed by incorporating several specific features of power systems such as electrical distance, power transfer distribution factors and line flow limits, starting from the extended metric for efficiency named as net-ability, an extended betweenness and proposes a joint method of extended and betweenness to rank the most critical lines and buses in an electrical power grid.

TL;DR: In this paper, a nonparametric kernel density estimation method for wind speed probability distribution is proposed, which is more accurate and has better adaptability than any conventional parametric distribution.

TL;DR: In this paper, a photovoltaic (PVV) system with maximum power point tracking (MPPT) connected to a three phase grid is presented, where the connection of PV system on the grid takes place in one stage using voltage source inverter.

TL;DR: An extended stochastic multi-objective model for economic dispatch is proposed, that incorporates in the optimization process heat and power from CHP units and expected wind power and results concerning minimum cost and emissions reduction options are drawn.

TL;DR: In this paper, a new technique based on the combination of wavelet transform (WT) and ANNs for addressing the problem of high impedance faults (HIFs) detection in electrical distribution feeders is presented.

TL;DR: In this paper, a voltage imbalance sensitivity analysis and stochastic evaluation based on the ratings and locations of single-phase grid-connected rooftop PVs in a residential low voltage distribution network are presented.

TL;DR: In this paper, a systematic approach suitable for modeling the behavior of a photovoltaic field operating in both uniform and mismatched conditions is shown, which is intended for the evaluation of the long-term energetic performances of photovellaic fields on a daily, monthly or yearly basis where a fast computation process must be achieved.

TL;DR: In this article, a non-linear weighted least squares estimator was developed by modeling the current phasor measurements either in rectangular or in polar coordinates and comparing the two approaches.

TL;DR: The results clearly show that the proposed MOHS algorithm is able to produce a well distributed Pareto-optimal solutions than the NSGA-II method.

TL;DR: In this article, wavelet transform and S-transform based approach is proposed for islanding detection and disturbance due to load rejection in distributed generation (DG) based hybrid system.

TL;DR: In this paper, the authors analyzed wind farm rectifiers and grid connected inverters through their operating modes, governing equations and graphical characteristics, using the converter equations and the HVDC grid conductance matrix the equilibrium voltages and currents are found.

TL;DR: In this paper, a new prediction strategy is proposed for wind power forecast, which is a ridgelet neural network (RNN) owning ridge functions as the activation functions of its hidden nodes.

TL;DR: In this paper, the predictive accuracy of a set of methods for day-ahead spot price forecasting in the Spanish electricity market is evaluated using time series analysis and artificial intelligence disciplines, and include univariate, multivariate, linear and nonlinear.

TL;DR: The test results of MSVM demonstrate that the applying of improved EMD energy entropy to vibration signals is superior to that based on wavelet packet analysis (WPT) and hence estimating fault type on machinery condition of high voltage CB accurately and quickly.

TL;DR: Fuzzy set notations in the load demand, wind speed, total fuel cost, total emission, and total real power loss are developed to obtain the optimal setting under an uncertain environment.

TL;DR: A forecasting model based upon least squares support vector machine (LS-SVM) regression and particle swarm optimization (PSO) algorithm on dissolved gases in oil-filled power transformers achieves better forecasting performance than its counterparts under the circumstances of limited samples.

TL;DR: In this paper, a joint operation between a wind farm and a hydro-pump plant is proposed, where the hydro pump plant changes its production to compensate wind power prediction errors.

TL;DR: In this article, the authors proposed a fuzzy decision-making based methodology for the optimal location and sizing of shunt capacitors in radial distribution systems based on fuzzy decision making which using a new evolutionary method.

TL;DR: In this article, the authors developed and simulated an efficient small-scale centralized dc-bus grid connected hybrid wind/photovoltaic/fuel cell for supplying power to a low voltage distribution system.

TL;DR: The proposed method for automatic detection and classification of voltage disturbances for problems related to power quality using signal processing techniques and intelligent systems is efficient, robust and has high computing performance (low processing time), which allows, a priori, its application in real time.

TL;DR: In this paper, the authors performed a study that, from an overview about the main energy management issues connected to the city transport, provided an innovative proposal for the design of sustainable urban mobility system: the integration of the metro-lines with surface plug-in electric vehicles.

TL;DR: In this article, the authors proposed a transmission line fault location scheme, combining wavelet packet decomposition (WPD) and support vector regression (SVR), which only utilizes a single-end measurements.