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Electricity deregulation has caused rapid changes in electricity market structure. Vertically integrated utility which performed all the functions including generation, transmission, distribution and retail services are now disaggregated into separate companies devoted to each function. The main goal of this deregulation is to enhance competition and provide new choices and economic benefits to the...
The dynamic characteristic, stability characteristic, and power sharing situation of the distributed system based on traditional droop control strategy are easily affected by uncontrollable power coupling and difference of line impedance of the distributed generator (DG) units in distributed system. In order to solve these drawbacks, an improved droop control strategy is proposed. It introduces the...
Recently, fault indicators with communication function have been increasingly used in fault diagnosis of distribution networks. In this paper, an objective function which considers the reliability index of the distribution network and economic factors synthetically has been proposed for optimal placement of fault indicators in distribution networks, and binary particle swarm optimization algorithm...
Solar cell/module modeling involves the formulation of the non-linear current versus voltage (I-V) curve. Determination of parameters plays an important role in solar cell/module modeling. This paper presents an application of the improved PSO search method and Particle Swarm Optimization technique for identifying the unknown parameters of solar cell and photovoltaic module models, namely, the series...
Parameter prediction with high precision is of great importance for real-time condition monitoring and fault diagnosis of the thermal system during variable load process. This paper presents a performance enhancement scheme for the extreme learning machine (ELM) to predict the operating parameters of the thermal system using particle swarm optimization (PSO). ELM is a feed-forward neural network with...
In this paper, a new strategy combining the MDPSO (multimodal delayed particle swarm optimization) and continuous Bezier curve is developed for the global smooth path planning of mobile robots. Firstly, the preliminaries on Bezier curve and the MDPSO are briefly introduced. Secondly, the environment modeling is presented and the smooth path planning problem is mathematically formulated. Then, the...
This paper presents a particle swarm optimization (PSO) timing scheme for a single intersection and a bidirectional green wave coordination control scheme for an artery. The timing strategy is proposed to reduce vehicle delays based on Akcelik delay model at the intersection via adaptive particle swarm optimization (APSO) algorithm. The coordination control scheme is designed to make as many vehicles...
The hydrothermal coordination can be defined as a problem to determine the optimum usage of the hydroelectric and thermoelectric resources available during a period. In hydrothermal generation systems with a predominance of hydroelectric power plants, like in the Brazilian system, the problem consists in replacing the thermal generation by hydropower generation to minimize the system operational costs...
The dynamic characteristics of a hydraulic turbine governing system is determined by the parameters of the hydraulic turbine governor. There are several drawbacks of the conventional particle swarm algorithm in parameter optimization, such as low speed of convergence, low accuracy and being inclined to result in partial optimization during the process of optimization. This paper introduced concave...
This paper proposes a motion trajectory control method of underground intelligent scraper based on particle swarm optimization. The simulation model of whole system was established in simulink according to autonomous navigation bivariate PID control algorithm and scraper motion control model. The process of particle swarm optimization was designed based on MATLAB platform. The parameter optimization...
In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the...
In this paper, to increase the accuracy and the rate of convergence of the algorithm, by employing orthogonal experiment and mutation operation to the traditional Quantum-behaved Particle Swarm Optimization (QPSO), an improved QPSO (IQPSO) has been presented. The optimization criterion, the ITAE (Integral of Time and Absolute Error) tested that the efficiency of IQPSO is superior to the traditional...
Urban congestion in major cities of Malaysia is getting severe over decades with increasing active vehicles and travelling time on the road. Part of Intelligent Transportation Systems development involves advanced computation in traffic management to cope for the projecting congestion trend. This work simulates traffic system and develop an optimising algorithm to instruct the traffic signal timing...
In this study, Q and R weight matrices of a Linear Quadratic Regulator (LQR) were optimized to control three-degree-of-freedom four-rotor Quadrocopter system (3 DOF Hover). The weighted matrices, obtained by Darwinian Particle Swarm Optimization (DPSO) and Fractional Order Darwinian Particle Swarm Optimization (FODPSO) methods, have been tested on the simulation model of Quadrocopter. The weight matrices,...
Fire may cause people in the building to be scared, distracted. In that case, some evacuation systems may help people to leave the building safely. This paper proposes a technique to explore a wayfinding during fire. Wayfinding depends on building type. We also investigated the possible influence of smoke, light and distance on route determination for fire evacuation. When the fire occurs, the system...
Particle swarm optimization (PSO) is a state-of-the-art algorithm in meta-heuristic optimization study area. It is a swarm based algorithm that mimic fish or bird's behaviors in the nature. Success rate of convergence in an optimization algorithm depends on control balancing between exploration and exploitation. Inertia weight coefficient parameter controls convergence rate of PSO algorithm. In this...
Scattered data fitting is always a challenging problem in the fields of geometric modeling and computer aided design. As the skeleton based three-dimensional solid model representation, the Ball B-Spline Curve is suitable to fit the tubular scattered data points. We study the problem of fitting the scattered data points with Ball B-spline curves (BBSCs) and propose the corresponding fitting algorithm...
The estimation of software effort is an essential and crucial activity for the software development life cycle. Software effort estimation is a challenge that often appears on the project of making a software. A poor estimate will produce result in a worse project management. Various software cost estimation model has been introduced to resolve this problem. Constructive Cost Model II (COCOMO II Model)...
This paper presents an economic optimization case study for a medium-scale hybrid PV-battery system. PV energy yield and battery operation models based on hourly satellite insolation and daily temperature data form the basis of an underlying objective function aiming to maximize the net present value of potential energy cost savings. Forecasted system prices and energy tariffs over a nine-year period...
The medical datasets have many features if the features have a tendency of mutation then the risk of disease increases which makes difficult to provide a diagnosis of disease. In the dataset, every feature is a contributor for prediction accuracy, the selection of significant features from the dataset is a challenging task. The feature selection technique based on metaheuristic algorithms is used...
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