Transmission Lines Loading Enhancement Using ADPSO Approach
نویسندگان
چکیده
Discrete particle swarm optimization (DPSO) is a powerful stochastic evolutionary algorithm that is used to solve the large-scale, discrete and nonlinear optimization problems. However, it has been observed that standard DPSO algorithm has premature convergence when solving a complex optimization problem like transmission expansion planning (TEP). To resolve this problem an advanced discrete particle swarm optimization (ADPSO) is proposed in this paper. The simulation result shows that optimization of lines loading in transmission expansion planning with ADPSO is better than DPSO from precision view point. Keywords—ADPSO, TEP problem, Lines loading optimization.
منابع مشابه
Fault Location on Compensated Transmission Lines without Current Measurement
This paper presents a novel fault location method for series compensated transmission lines. It is established based on synchronized voltages sampling and Thevenin impedance from both ends of series compensated transmission line. The method is based on the use of phasor measurement units (PMU) technology which is aimed to be independent of current measurements, fault type, fault resistance, fau...
متن کاملCross-Layer Optimization and Link Adaptation in Cognitive Radios
Cognitive Radio (CR) systems are smart systems capable of sensing the surrounding radio environment and adapting their operating parameters in order to efficiently utilize the available radio spectrum. To reach this goal, different transmission parameters across the Open Systems Interconnection (OSI) layers, such as transmit power, modulation scheme, and packet length, should be optimized. This...
متن کاملFault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests
In this paper, an approach is proposed for accurate locating of single phase faults in transmission lines using voltage signals measured at one-end. In this method, harmonic components of the voltage signals are extracted through Discrete Fourier Transform (DFT) and are normalized by a transformation. The proposed fault locator, which is designed based on Random Forests (RF) algorithm, is train...
متن کاملA Novel Fault Detection and Classification Approach in Transmission Lines Based on Statistical Patterns
Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...
متن کاملComparison of Exact Analysis and Steplines Approximation for Externally Excited Exponential Transmission Line
In the present paper, the problem of externally excited exponential transmission line hasbeen solved analytically in frequency domain using a simple approach. Then steplines approximationas a first order approximation for the problem of externally excited nonuniform transmission lines ingeneral and exponentially tapered transmission line (ETL) as a special case has been presented.Finally the tw...
متن کامل