The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Summary form only given. The radial distribution feeder protection strategy is first presented in the paper without consideration for DG. Then, the addition of DG across the feeder (constrained in terms of power and/or energy capacity) is introduced in the model. If islanded operation of these DG sources is allowed on a feeder subjected to a disturbance, DG may reduce the number of interruptions and/or...
Shunt capacitors can be installed in a distribution system to a required level of reactive power support to reduce energy and peak power losses. The amount of compensation to be provided is linked with the desirable objectives subject to the operational constraints. Thus optimal capacitor placement problem aims at determination of capacitor locations and their respective sizes. This paper presents...
This paper provides a new method to improve power system stability using recurrent neural network with adaptive training parameters. Power system generators are equipped with automatic voltage regulator, power system stabilizer, and governor to control and stabilize the system. The controller parameters are tuned using mathematical methods, or heuristic search methods such as genetic algorithm. Therefore...
Wide-area controllers have been proposed to enhance the dynamic performance of large interconnected power systems. The time delay existing in the data communication may be a detriment to wide area control system stability. This paper analyzes the effect of time delay on the additional interarea damping control (AIADC) design of PSS. The AIADC is proposed for generators' excitation controllers and...
Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of sectionalizing switches. This not only reduces the power losses, but also relieves the overloading of the network components. Network reconfiguration belongs to a complex family...
Power load forecasting is essential in the task scheduling of every electricity production and distribution facility. This paper studies the application of a variety of tuning techniques for optimizing the least squares support vector machines (LS-SVM) hyper-parameters in a short-term load forecasting problem. Clearly, the construction of any effective and accurate LS-SVM model depends on carefully...
Centralized control using wide-area measurement signals has been suggested to enhance the dynamic performance of large interconnected power systems. However, the impact of time delays introduced by remote signal transmission and processing has to be considered. This paper investigates the wide- area FACTS controller design problem in the presence of delayed input signals in wide-area measurement system...
This paper will deal with improvement of lightning induced voltage performance of distribution network by optimizing the surge arrester location on the distribution network. The optimization of the location is made by using a novel formulation based on genetic algorithms. Here is described the implementation of this methodology by using sophisticate software which has been used for lightning induced...
To overcome the limitation of the traditional load forecasting method, a new load forecasting system basing on radial basis Gaussian kernel function (RBF) neural network is proposed in this paper. Genetic algorithm adopting the real coding, crossover probability and mutation probability was applied to optimize the parameters of the neural network, and a faster convergence rate was reached. Theoretical...
As certain electric power facilities have been used for a long time, some of these facilities have to be replaced due to age. Meanwhile, as the deregulation of the electric power industry has been prevailing, cost reduction and effective use of existing facilities are required in addition to ensuring stability. In this paper, we propose a new technique for optimal shunt capacitor (SC) reallocation...
To resolve the short-term load forecasting (STLF) tasks, this paper proposes to use a new method, namely, particle swarm optimization (PSO) merged with fuzzy neural networks (FNNs), here after called the PSO-FNN method. With the PSO method, we encode all the networks' weights and biases into several artificial neural network (ANN) system particle swarms, and then we train the network parameter values...
In recent years, distributed generation, as clean natural energy generation and cogeneration system of high thermal efficiency, has increased due to the problems of global warming and exhaustion of fossil fuels. Many of the distributed generations are set up in the vicinity of the customer, and there is the advantage that this decreases transmission losses. However, output of natural energy power...
Optimal locations and design of robust multimachine power system stabilizers (PSSs) using heuristic algorithms is presented in this paper. The tuning of PSS via a non-dominated sorting genetic algorithm (NSGA-II) is performed to obtain a set of compromise speed-damping solutions. The stabilizers are tuned to simultaneously shift the lightly damped and undamped electromechanical modes of all plants...
This paper proposes an improved merit order (IMO) and augmented Lagrange Hopfield neural network (ALHN) for solving ramp rate and transmission constrained unit commitment (RTUC) problem. The IMO is a merit order enhanced by a heuristic search algorithm based on average production cost of units, and the ALHN is a continuous Hopfield network with its energy function based on augmented Lagrangian relaxation...
This paper presents a genetic algorithm based technique for on-line estimation of synchronous generator parameters, using an excitation disturbance. To illustrate and verify the proposed algorithm, some excitation disturbance tests are conducted on an actual hydro generator. Machine response to the applied disturbance is processed by the proposed technique using genetic algorithm. The estimated values...
Flexible alternating current transmission systems (FACTS) devices have been proposed as an effective solution for controlling power flow and regulating bus voltage in electrical power systems, resulting in an increased transfer capability, low system losses, and improved stability. However to what extent the performance of FACTS devices can be brought out highly depends upon the location and the parameters...
In this paper, power system multi input-multi output identification methods that are useful for simultaneous coordinated design of power system stabilizer and thyristor controlled series capacitors controller are presented. The output error and the auto regressive exogenous input structures are used separately to identify the multi input-multi output transfer function of a power system. Different...
Stability constrained optimal power flow (SCOPF) has become increasingly important in modern power systems operation. The work presented in this paper describes a genetic algorithm (GA) based approach for tackling the SCOPF problem emerging in the UK electricity balancing market. The SCOPF problem is defined as optimizing the generation combination of balancing mechanism (BM) units to maintain the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.