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This paper aims at providing an insight into the Smart Grid Information Clearinghouse (SGIC) web portal sponsored by the U.S. Department of Energy. Developed by Virginia Tech Advanced Research Institute in Arlington, VA, with assistance from the IEEE Power & Energy Society and EnerNex Corporation, the SGIC web portal was officially launched to the public in September 2010. It is designed to be...
The wind power generation in the Romanian power system will increase in the next years reaching almost 4000 MW by 2013. Taking into account the variability of electric power generated by wind power plants, the transactions on the balancing market will increase, leading to higher costs associated with the balance of generation and demand. It is our belief that using wind power forecasts can help in...
This paper describes the dynamic behavior of hydraulic turbine power control. The water inertia effect is a factor that makes difficult to maintain stability under isolated operation or to have fast response in case of load change in the whole operational range. A nonlinear hydraulic system model is investigated. Linear models for different load conditions using identification procedure are obtained...
Demand side management (DSM) provisions have still large potentials in the residential sector. In the paper, a model of the residential customer's demand using a bottom-up approach, implemented in a load simulator, has been used in order to evaluate the impact of DSM actions on Italian average households' daily load shape. To this aim, some more diffuse demand management options have been simulated...
Previous studies have suggested that, with proper planning, distributed generation (DG) could provide system operation and planning benefits such as reduced losses and enhanced reliability. However, the allowable DG interconnection capacity at each site of the existing network is often restricted by fault current level, voltage variation and power flow constraints. An improved feeder reconfiguration...
This paper presents a control strategy for the operation of an autonomous distributed generation system (DGS) that includes multiple energy carries, storage devices and wind energy. The simulation is performed for the heat and electricity demand of 200 households. The proposed control strategy provides suitable performance results and improved energy efficiency for the system under study.
Production of heat and electricity in the cogeneration plant depends on weather, thus forecasting production is dependent on weather forecasts. Here we present the models of the heat production based on two weather forecast models, COAMPS and UM. The linear models that are based on the predicted air temperature can explain up to 90% of variability of production and deteriorate slowly with the range...
This paper investigates the necessary time step resolution in a transmission expansion planning algorithm based on ant colony optimization. A maximal and efficient wind power integration is the main motivation for the grid expansion, which requires a planning tool dealing with wind energy fluctuations. For the analysis a power system model for the Nordic area is used, including a wind power production...
In this paper a hybrid instrumental environment for hydro turbine power adaptive control implementation is presented. It consists of MATLAB-based nonlinear discrete plant model, programmable logical controller (PLC) and data acquisition hardware. The dynamic behavior of a hydro turbine is investigated in the case of whole range of power variation. The parameter-dependent model is developed. The gain...
Distribution system reconfiguration is one of the methods that is commonly used in order to improve the system reliability and reduce the system real power loss. The distribution system reconfiguration is normally done by altering the status of switches. When the status of switches on the distribution system is changed, the topology of the system is also changed. During the normal operations, load...
Three approaches for grid integration of Electric Vehicles (EVs) through a Virtual Power Plant (VPP) concept are introduced. A classification of these different ways for realizing a VPP based on the control structure, resource type, and the aggregation approach is discussed. This is followed by a description of the three VPP approaches, which are referred to as direct, hierarchical, and distributed...
In this paper, we use advanced multi-agent technologies to establish a smart power grid to solve the power distribution restoration problems. Specifically, we modeled switches in the power distribution systems as intelligent agents who can communicate and coordinate together to find a global optimal solution to the power distribution service restoration problems. We modeled the society of intelligent...
With a move to ‘smarter’ distribution networks through an increase in distribution automation and active network management, the volume of monitoring data available to engineers also increases. It can be onerous to interpret such data to produce meaningful information about the health and performance of automation and control equipment. Moreover, indicators of incipient failure may have to be tracked...
For the electrical supply of solitary remotely located objects - such as telecommunication relay stations, alpine huts, or farms and small settlements in developing countries -autonomously operated micro-grids are established, favorably based on renewable energy sources. The appropriate configuration of such micro-grids - in particular with respect to eligible energy sources and storages - is a demanding...
This paper presents the comparative application of two evolutionary algorithms: Differential Evolution (DE) and Particle Swarm Optimization (PSO) to the solution of reduction of the system losses and improvement of the system voltage profile by obtaining an efficient distribution of reactive power in an electric network and by handling voltage control problem. It can be achieved by varying the excitation...
Electrical distribution systems are evolving and becoming more flexible with the inclusion of more intelligent electronic devices (IED) and remote terminal units (RTU). This enables the optimization of the network operation giving the operator more information and control options. SCADA and DMS systems need to accommodate and efficiently process all the data and alarms and aid the operator in making...
This paper presents a novel smart-PID controller for optimal control of DC-DC boost converter used as voltage controller in PV systems. This proposed controller maximizes the stable operating range by using genetic algorithms (GA) to tune the PID parameters ultimately at various loading conditions. Then, a fuzzy logic approach is used to add a factor of intelligence to the controller such that it...
This paper deals with the application of genetic algorithms and simulated annealing in order to solve the hydrothermal coordination problem through the optimal operation planning of large and nonlinear complex systems. Aiming to explore different solutions for this kind of problem, this paper suggests a comparison between the results of genetic algorithms and simulated annealing. The proposed techniques...
This paper provides a novel solution for power system transmission line fault classification. It is based on Clarke-Concordia transform and manifold learning algorithm using one-end current signals. We first convert the currents into “α α 0” phases, and construct the trajectories in a 3-diemensional space. Manifold learning is used to extract characteristic features and identify different fault patterns...
In this paper we present ASISTO, an intelligent assistant system for power plant operation and training based on probabilistic graphical models. Its main advantage is that it provides on-line guidance in the form of ordered recommendations, sensor validation capabilities, and explanation features, all for uncertain environments. The system allows dealing with abnormal situations, non-expected events,...
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