Showing papers in "International Journal of Electrical Power & Energy Systems in 2006"

TL;DR: In this article, an analytical expression to calculate the optimal size and an effective methodology to identify the corresponding optimum location for DG placement for minimizing the total power losses in primary distribution systems is proposed.

TL;DR: In this article, the authors present a methodology for optimal distributed generation allocation and sizing in distribution systems, in order to minimize the electrical network losses and to guarantee acceptable reliability level and voltage profile.

TL;DR: In this article, the authors verify and examine criticality in a 1000 bus network with an AC blackout model that represents many of the interactions that occur in cascading failure and evaluate the overall probability and risk of blackouts from a global perspective.

TL;DR: In this article, a fast analysis method for power system topology observability is presented based on the linearized power system state estimator model and uses augmented incidence matrix, which is formulated as to minimize the number of PMU installation subjecting to full network observability and enough redundancy.

TL;DR: In this article, the authors proposed a method to assess the impact of DG on distribution networks investment deferral in the long-term by using a Monte Carlo simulation, which is based on the randomness of the variables that have an impact on such matter (load demand patterns, DG hourly energy production, DG availability, etc.).

TL;DR: In this article, a successful adaptation of the particle swarm optimisation (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, multi-area ED with tie line limits, ED with multiple fuel options, combined environmental economic dispatch, and the ED of generators with prohibited operating zones.

TL;DR: An improved particle swarm optimization algorithm for power system unit commitment that combines relaxation technique to zero-one variable and penalty function method to transform the problem to a nonlinear continuous variable optimization one by taking into account more constraints.

TL;DR: Maximum and minimum percentage errors, and MAPE values obtained from the load forecasting results confirm that ANN-based proposed method provides reliable forecasts for several-hour-ahead load forecasting.

TL;DR: In this article, new tools for the uncertainty analysis of such power systems are developed for the large-scale integration of stochastic generation in power systems, and methods are necessary for the modeling of power generation uncertainty.

TL;DR: Only temperature (from weather variables) is used in load forecasting without the use of load history as an input, where results show that other variables like sky condition and wind velocity have no serious effect and may not be considered in the load forecasting procedure.

TL;DR: In this article, the authors describe the usage of these methods, particularly with regard to asset management and risk management within electrical grids, and the essential information needed to set up an appropriate asset management system and differences between asset management systems in transmission and distribution systems are discussed.

TL;DR: In this paper, a procedure based on the continuous wavelet transform (CWT) for the analysis of voltage transients due to line faults, and its application to fault location in power distribution systems is discussed.

TL;DR: The paper presents an algorithm for network reconfiguration based on fuzzy multi-objective approach for load balancing among the feeders, minimum deviation of the nodes voltage, minimize the power loss and branch current constraint violation, while subject to a radial network structure.

TL;DR: In this article, a mathematical model including different kinds of DG units with respect to their technical characteristics as well as the optimization technique which is used to solve the problems under the existing uncertainties is presented.

TL;DR: A nonlinear artificial neural networks (ANN) controller based on μ-synthesis for solution the load frequency control (LFC) problem is proposed in this paper, which combines advantage of the ANN and μ-Synthesis control techniques to achieve the desired level of robust performance for all admissible uncertainties and leads to a flexible controller with relatively simple structure.

TL;DR: In this paper, an ant colony system (ACSACS) model is applied to the hard combinatorial unit commitment problem (UCP) to obtain the minimum cost path (MCP) for scheduling of thermal units for the demand forecasted.

TL;DR: In this paper, a fuzzy logic proportional plus conventional integral controller is proposed for damping local modes and inter-area modes of oscillations in a multi-machine power system, which combines the advantages of a FLC and a conventional PI controller.

TL;DR: In this article, the authors compare Nash equilibria analysis and agent-based modeling for assessing the market dynamics of network-constrained pool markets, where power suppliers submit their bids to the market place in order to maximize their payoffs.

TL;DR: In this article, a consistent set of cost of interruption data that can be used to assess the reliability worth of a power system is provided, and methodologies for calculating the customer damage functions and the interrupted energy assessment rates for individual load points in the system and for the entire service area are also presented.

TL;DR: A hybrid learning scheme that combines off-line learning with real-time forecasting is developed to use the available data for adapting the weights and to further adjust these connections according to changing conditions.

TL;DR: This paper provides the mathematical background for the frequency–domain data definition and investigates on the effectiveness of the customer classification for different choices of the number of data to be stored in the frequency domain.

TL;DR: In this article, a shunt active power filter is realized employing three-phase voltage source inverter (VSI) bridge with common DC bus capacitor to compensate reactive power and reduce the unwanted harmonics.

TL;DR: In this article, a new formulation considering both reliability and cost reduction for maintenance scheduling is proposed in a power plant, which adopts the genetic algorithm combined with the simulated annealing method as a solution method.

TL;DR: In this article, a comparison of MCR and TCR from the point of view of harmonics, is studied and a detailed model of reactor is used to illustrate the ideas presented throughout the paper.

TL;DR: The VSHDE method is superior to some other methods in terms of solution power loss and costs and the use of variable scaling factor can also alleviate the problem of selection of mutation operator of the hybrid differential evolution.

TL;DR: In this paper, a robust H∞ power system stabilizer (HPSS) design using reduced-order models to improve the damping oscillation in power systems is presented.

TL;DR: In this paper, the authors deal with the simulation of long-term responses of power systems to large disturbances in the presence of discrete events by combining detailed and quasi steady state (QSS) time simulations.

TL;DR: In this article, the authors highlight the gap between peak load power demand and availability of power at the regional level, furthermore propose the suitability of power generation from renewable sources to fill the gap.

TL;DR: This paper proposed an on-line measurement of transmission line impedance in order to improve the accuracy of distance relays and analysis of power system and several simulations have been executed and shown satisfactory results.

TL;DR: In this paper, the authors proposed a new robust decentralised frequency stabilisers design of Static Synchronous Series Compensators (SSSCs) by taking system uncertainties into consideration.