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Impact of Distributed Generation on Estimation of Exponential Load Models
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019This paper presents the results of a measurement-based load model estimation study, which was conducted in a distribution network with high penetration of distributed generation. The main goal of the study was to determine the impact of distributed generation on the estimation of exponential load models.
Madis Leinakse, Jako Kilter
exaly +2 more sources
Hybrid Forecasting Model of Reactive Load Based on FOA and Linear Exponential Smoothing
Advanced Materials Research, 2013During the prediction of Linear exponential smoothing model,the value of the coefficient has a little blindness,which is always valued by experience.This paper uses FOA model to optimize it in Linear exponential smoothing model,constructing the hybrid forecasting model this paper uses to predict the reactive load of a substation.Then,this paper uses ...
Wei Pi, Yuan Sheng Huang
exaly +2 more sources
IEEE Transactions on Smart Grid, 2014
This paper proposes a model predictive control (MPC)-based voltage/var optimization (VVO) technique considering the integration of distributed generators and load-to-voltage sensitivities. The paper schedules optimal tap positions of on-load tap changer and switch statuses of capacitor banks based on predictive outputs of wind turbines and photovoltaic
Jianhui Wang, Zhaoyu Wang, Bokan Chen
exaly +2 more sources
This paper proposes a model predictive control (MPC)-based voltage/var optimization (VVO) technique considering the integration of distributed generators and load-to-voltage sensitivities. The paper schedules optimal tap positions of on-load tap changer and switch statuses of capacitor banks based on predictive outputs of wind turbines and photovoltaic
Jianhui Wang, Zhaoyu Wang, Bokan Chen
exaly +2 more sources
Abstract For an energy-limited economy system, it is crucial to forecast load demand accurately. This paper devotes to 1-week-ahead daily load forecasting approach in which load demand series are predicted by employing the information of days before being similar to that of the forecast day.
Haiyan Lu, Yao Dong
exaly +3 more sources
Comparison of the ZIP Load Model and the Exponential Load Model for CVR Factor Evaluation
2017 IEEE Power & Energy Society General Meeting, 2017Evaluating the effectiveness of Conservation Voltage Reduction (CVR) is a key challenge for utilities to determine the target feeder for voltage reduction deployment. In this paper, a time varying ZIP (TZIP) load model is developed to estimate the constant impedance, the constant current, and the constant power coefficients to calculate the CVR factor ...
Badrul Chowdhury, Md Shakawat Hossan
exaly +2 more sources
On unreliability of exponential load models
Electric Power Systems Research, 1999This paper addresses the issue of power system load modelling. In power system and voltage stability studies, only aggregate loads at high voltage buses are needed. Due to difficulties in determining appropriate load models at high voltage buses, the classical exponential static load model is still often used.
openaire +3 more sources
Conversion Error of Exponential to Second Order Polynomial ZIP Load Model Conversion
2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2018This paper presents two novel analytical methods for exponential to second order polynomial (i.e. ZIP) load model conversion. The load model conversion error of the proposed methods and three known methods is compared based on the results of conducted numerical analysis.
Madis Leinakse, Jako Kilter
exaly +2 more sources
Customer Baseline Load (CBL) Calculation Using Exponential Smoothing Model With Weather Adjustment
2009 Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009This paper proposes CBL calculation method that uses exponential smoothing model with weather adjustment multiplicative. It can estimate the daily electric load patterns of customers who participate in a demand response program. The proposed method is designed to estimate CBL using exponential smoothing model.
Jong-Bae Park +2 more
exaly +2 more sources
System reliability estimation for the Exponential load-strength model
Statistische Hefte, 1978A system comprising k identical components is considered. The system load that is common to all components is treated as a random variable, modeled by a one-parameter Exponential distribution. Each component's resistance to load is also taken as a random variable, modeled by another one-parameter Exponential distribution that applies to each component.
openaire +2 more sources
Electricity load forecasting often has many properties such as the nonlinearity, double seasonal cycles, and others those may be obstacles for the accuracy of forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing model to forecast.
Muhammad Hisyam Lee +2 more
exaly +3 more sources

