Showing papers in "Electric Power Systems Research in 2012"

TL;DR: The proposed DGA method has been shown to possess superior performance in identifying the transformer fault type and the novel extension method and the SVM approach can significantly improve the diagnosis accuracies for power transformer fault classification.

TL;DR: In this paper, a control strategy for an extended VSC MTDC grid using a typical DC voltage control on one DC bus, combined with a DC voltage droop characteristic on the other DC buses is discussed.

TL;DR: In this paper, the authors proposed a model for the assessment of the contribution of V2G systems as a support to energy management within realistic configurations of small electric energy systems (SEESs) including renewable sources, such as Microgrids.

TL;DR: In this paper, new symmetric and asymmetric multilevel inverter topologies are proposed to handle high power and high voltage in the flexible power systems, which use reduced number of switching devices for a specified number of output voltage levels.

TL;DR: In this article, the authors applied an analytical method that combined the cumulant method with the Cornish-Fisher expansion to solve the voltage regulation problem in photovoltaic distributed generation.

TL;DR: This paper introduces a new hybrid method, which employs discrete particle swarm optimization and optimal power flow to overcome this shortcoming in distributed generation systems.

TL;DR: In this paper, a new optimization algorithm is applied for solution of non-convex and large scale economic dispatch (ED) problems, a continuous version of quick group search optimizer (QGSO) algorithm is proposed.

TL;DR: In this paper, a binary coded ABC with repair strategies is used to obtain a feasible commitment schedule for each generating unit, satisfying spinning reserve and minimum up/down time constraints, and economic dispatch is carried out using real coded ABC for the feasible commitment obtained in each interval.

TL;DR: In this paper, an optimal power flow based control scheme is proposed in order to minimize the losses in multi-terminal HVDC systems for large offshore wind power plants, which optimizes system power flows while delivering the generated wind power to the terrestrial AC grid (or grids).

TL;DR: In this paper, a new method using binary integer linear programming for the optimal placement of PMUs to guarantee full observability of a power system as well as maximizing the measurement redundancy is proposed.

TL;DR: The case study results show that the concept is successful in a number of situations, most notably a predicted system overload of 155% can be successfully alleviated on the test distribution network.

TL;DR: Simulation results show that DEED is well solved by the proposed method as a set of widely distributed Pareto-optimal solutions can be obtained and that GSOMP has better convergence performance than MOPSO and NSGA-II and consumes much less time than NS GA-II.

TL;DR: A mixed-integer linear programming model is presented, allowing mid-term scheduling decisions, such as unit maintenance scheduling and reservoir management, to be taken along with investment decisions within the framework of a single long-term optimization problem.

TL;DR: A novel probabilistic algorithm for optimal reactive power provision in hybrid electricity markets is presented, a six-stage multiobjective nonlinear constrained optimization problem which takes into account load forecasting inaccuracies.

TL;DR: This var market proposal for MV distribution systems can be adopted to involve Distributed Generation units and microgrids in AS provision and performed using an Optimal Power Flow (OPF) formulation.

TL;DR: In this article, a comprehensive review of neutral current compensation methods, their topologies, and their technical and economical limitations is presented, and simulations are also carried out in MATLAB/SIMULINK environment for comparing the existing methods.

TL;DR: In this paper, the authors presented a forecasting model based on self-organizing maps (SOM) neural networks for load forecasting in the Spanish electricity market, where the model was adjusted to timely forecast a load profile for each session of the daily and intra-daily markets.

TL;DR: In this article, an adaptive backstepping method was proposed for an induction motor drive based on an output feedback adaptive back-stepping controller, which is asymptotically stable in the context of Lyapunov theory.

TL;DR: In this article, a rule-based approach for the classification of power quality disturbances is presented, where the disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature extraction tool.

TL;DR: In this paper, an analysis of several optimal reactive power flow (ORPF) objective functions (OFs) is reported, where the goal considered is the network security maximization.

TL;DR: In this paper, a hybrid technique based on Kalman filter for extracting three parameters (amplitude, slope of amplitude, harmonic indication) from the captured distorted waveform is presented. And the results depict that the proposed technique has the ability to accurately identify and characterize power quality (PQ) disturbances.

TL;DR: In this article, an optimal peak shaving strategy was proposed to minimize the power peak and an analytic design method for attaining optimal peak-shaving was derived, given only the load's demand profile and the storage capacity.

TL;DR: In this paper, a framework for estimating transmission line positive sequence parameters, temperature, and sag utilizing on-line voltage and current phasors measured by Phasor Measurement Units is presented.

TL;DR: In this paper, a smart grid compatible electric vehicle on-board battery charger is presented, which can operate bi-directionally, demanding or injecting a balanced and sinusoidal with no harmonics current into the grid, regardless of the grid voltage quality.

TL;DR: In this article, an adaptive neural network (ANN) controller is used to control the speed of the switched reluctance generator (SRG) to ensure maximum power delivery to the grid for any particular wind speed.

TL;DR: In this paper, the authors proposed a new method for minimizing the number of PMUs and their optimal placement in power systems with two adjacent injection measurements (IMs), and the proposed constraints result in a reduction in the PMUs even though the system topological observability is complete.

TL;DR: In this article, a modified group search optimizer (MGSO) is presented for improving the scrounger and ranger operators of GSO, which is applied on different test systems and compared with most of the recent methodologies.

TL;DR: In this paper, a reliability criterion modified generator maintenance scheduling (MGMS) model is formulated with additions and modifications made to the classic GMS model, which includes modified maintenance window constraints with some newly added constraints.

TL;DR: In this article, an extensive literature review of the application of wavelet transforms in the detection and analysis of voltage events is presented and a short description of the different methods proposed is provided.

TL;DR: In this paper, the use of the discrete wavelet transform (DWT) to analyze and locate the low frequency oscillations of power systems, which can result in a loss of stability or in a black-out, is proposed.