نتایج جستجو برای: voltage depended load model

تعداد نتایج: 2318487  

2018
Jinhui Yang Nanpeng Yu Weixin Yao Larry Juang Raymond Johnson

Abstract—Conservation voltage reduction (CVR) can effectively reduce electricity consumption and peak demand by keeping the customer voltages in the lower half of the permissible range. To facilitate widespread adoption of CVR, a reliable and robust CVR performance evaluation methodology is in critical need. However, it is difficult to accurately estimate the load reduction impact of CVR in pra...

کتابی, عباس, یزدخواستی, علی,

This study addresses the problem of controlling a variable- speed wind turbine with a doubly fed ‎induction generator (DFIG) by control System that called One-Cycle control (OCC). Generator-side converter regulator speed and Grid-side converter controls reactive power and voltage of the DC-Link. Proposed method under different conditions such as load change, fault and nonlinear loads are studie...

A Ghorbanpour Arani, M.J Maboudi S Amir S Shams

Using principle of minimum total potential energy approach in conjunction with Rayleigh-Ritz method, the electro-thermo-mechanical axial buckling behavior of piezoelectric polymeric cylindrical shell reinforced with double-walled boron-nitride nanotube (DWBNNT) is investigated. Coupling between electrical and mechanical fields are considered according to a representative volume element (RVE)-ba...

An intelligent method based on wavelet neural network (WNN) is presented in this study to estimate voltage harmonic distortion waveforms at a non-monitored sensitive load. Voltage harmonics are considered as the main type of waveform distortion in the power quality approach. To detect and analyze voltage harmonics, it is not economical to install power quality monitors (PQMs) at all buses. The ...

2013
Ebrahim Abiri Mohammad Reza Salehi Sara Mohammadalinejadi

A low dropout voltage regulator with small output voltage variations and the ability of wide load current range support is proposed in this paper. In this LDO structure, a recycling folded cascode operational transconductance amplifier is used as an error amplifier, which has high transconductance and therefore high power efficiency. The designed LDO is simulated in 0.18 μm CMOS standard techno...

Journal: :journal of operation and automation in power engineering 2015
s.m. mohseni-bonab a. rabiee s. jalilzadeh b. mohammadi-ivatloo s. nojavan

optimal reactive power dispatch (orpd) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. due to the stochastic behavior of loads, the orpd requires a probabilistic mathematical model. in this paper, monte carlo simulation (mcs) is used for modeling of load uncertainties in the orpd problem. the problem is formulated as a nonlinear constrained mul...

2004
Niels Tas Jeroen Wissink Louis Sander Miko Elwenspoek

The shuffle motor is a electrostatic stepper motor that employs a mechanical transformation to obtain high forces and small steps. A model has been made to calculate the driving voltage, step size and maximum load to pull as well as the optimal geometry. Tests results are an effective step size of about 85 nm and a maximum produced force of about 40 pN at 40V clamping voltage and 25 V actuator ...

This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load...

2006
J.Preetha Roselyn

Voltage stability has become one of the major concerns of many electric utilities all over the world. This paper presents an Artificial Neural Network (ANN) based model for on-line voltage stability assessment. Maximum L-index of the load buses in the system is taken as the indicator of voltage instability. Pre-contingency state power flows are taken as the input to the neural network. The key ...

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