Showing papers in "International Journal of Electrical Power & Energy Systems in 2012"

TL;DR: A novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented to minimize network power loss and better voltage regulation in radial distribution systems.

TL;DR: In this article, an autonomous hybrid generation system consisting of wind turbine generators (WTGs), solar thermal power system (STPS), solar photovoltaic (PV), diesel engine generators (DEGs), fuel cells (FCs), battery energy storage system (BESS), flywheel (FW), ultra capacitors (UCs), and aqua electrolyzer (AE) have been considered for simulation studies.

TL;DR: In this paper, the authors investigated the behavior and state-of-health monitoring of lithium-ion batteries and used recurrent neural networks (RNNs) to predict the degradation in battery performance.

TL;DR: In this paper, an optimal output feedback controller which uses only the output state variables is proposed to resolve the difficulty of access to all the state variables of a system and also their measurement is costly and difficult.

TL;DR: In this article, a new algorithm for distributed generator placement and sizing for distribution systems based on a novel index is proposed, which is developed considering stable node voltages referred as power stability index (PSI), a new analytical approach is adopted to visualize the impact of DG on system losses, voltage profile and voltage stability.

TL;DR: In this article, the authors extensively presented the Automatic Generation Control (AGC) application of Artificial Bee Colony (ABC) algorithm, which is applied to the interconnected reheat thermal power system in order to tune the parameters of PI and PID controllers.

TL;DR: Simulation results underline the benefits resulting from the application of the proposed approach using Robust Optimization techniques to an energy hub structure designed in Waterloo, Canada.

TL;DR: In this article, a fuzzy logic control is used to design energy management strategies for fuel cell/battery (FC+B) hybrid vehicle and fuel cells/batteries/ultra-capacitor (FC−+B+UC) hybrid vehicles.

TL;DR: In this paper, a stand-alone hybrid power system consisting of three power generation systems, photovoltaic (PV) panels, a wind turbine and a proton exchange membrane fuel cell (PEMFC) is presented.

TL;DR: The proposed opposition-based GSA (OGSA) of the present work employs opposition- based learning for population initialization and also for generation jumping, and both the near-optimality of the solution and the convergence speed of the proposed algorithm are promising.

TL;DR: This paper carries out a comprehensive review of articles that involves a comprehensive study of signal processing techniques used for PQ analysis and intelligent techniques such as fuzzy logic, neural network and genetic algorithm as well as their fusion are reviewed.

TL;DR: In this article, a methodology for active distribution networks dynamic expansion planning based on Genetic Algorithms is presented, where Distributed Generation integration is considered together with conventional alternatives for expansion, such as, rewiring, network reconfiguration, installation of new protection devices, etc.

TL;DR: Test results of a 33 bus sample network have shown that the proposed feeder reconfiguration method can effectively ensure the loss minimization, and the BFOA technique is efficient in searching for the optimal solution.

TL;DR: In this paper, a three stage optimal PMU placement method is presented using network connectivity information, which initially considers PMU in all buses of the network and then further minimizes the number of PMUs using pruning operation.

TL;DR: Both the near-optimality of the solution and the convergence speed of the proposed algorithm are found to be promising.

TL;DR: In this article, a Biogeography Based Optimization (BBO) technique is introduced to solve multi-constrained optimal reactive power flow (ORPF) problem in power system.

TL;DR: An improved evolutionary non-dominated sorting genetic algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem.

TL;DR: In this article, a novel algorithm for simultaneous coordinated designing of power system stabilizers (PSSs) and thyristor controlled series capacitor (TCSC) in a multimachine power system is developed.

TL;DR: In this paper, a new algorithm is proposed to determine the optimal sizes of fixed and switched capacitors together with their optimal locations in a radial distribution system so that net savings are maximized and improvement in the voltage profile is achieved.

TL;DR: The paper develops, using mixed integer optimization technique, a re-dispatch formulation for the second step in which demand responses and FACTS device controllers are optimally coordinated with conventional generators.

TL;DR: In this article, a load frequency control (LFC) design using the model predictive control (MPC) technique in a multi-area power system in the presence of wind turbines is presented.

TL;DR: A novel heuristic algorithm for solving economic dispatch problems, by employing iteration particle swarm optimization with time varying acceleration coefficients (IPSO-TVAC) method, which has a good convergence property and the generation costs are lower than other optimization algorithms reported in recent literature.

TL;DR: In this paper, the authors proposed an improved voltage stability index (IVSI) for network systems, and then presented an optimization method for reactive compensation devices settings to solve the optimization problem.

TL;DR: This study shows one example of the optimal design of a hybrid PV-wind system by providing regular optimization formulation, full dataset, and computing results with various design constraints.

TL;DR: In this paper, the authors used the quantum genetic algorithm to confirm the accuracy and validity of a mathematic model using actual examples compared with other optimization approaches used to solve the economic dispatch problem.

TL;DR: In this article, a novel unsymmetrical faults analysis method with hybrid compensation for microgrid (MG) distribution systems is proposed, which employs the actual three-phase models to handle un-synchronized faults.

TL;DR: In this paper, a decentralized load-frequency control (LFC) synthesis is formulated as a multiobjective optimization problem (MOP) and is solved using genetic algorithms (GAs) to design well-tuned PI controllers in multi-area power systems.

TL;DR: In this article, a technique for selection of buses in a sub transmission system for location of distributed generation (DG) and determination of their optimum capacities by minimizing transmission losses is described. And the selected buses have been selected based on incremental voltage (dV/dP) sensitivities.

TL;DR: The advances presented in this article have an objective of detecting customers with anomalous drops in their consumed energy by means of a windowed analysis with the use of the Pearson coefficient.

TL;DR: In this article, a DSM-based simulation tool is introduced to illustrate customer-driven DSM operation, and evaluate an estimate for home electricity consumption while minimizing the customer's cost, and a heuristic optimization algorithm is used for the optimization of DSM operation.