scholarly journals Designation of Short-term Power Forecasting System for PV Power System and Its Cluster Integrated with Distribution Power Network

2019 ◽  
Vol 490 ◽  
pp. 072025
Author(s):  
Xi-ning Lu ◽  
Zhi Li ◽  
Ming-gang Lv ◽  
Hai-tao Liu ◽  
Zhu Zheng ◽  
...  
Keyword(s):  
Power System ◽  
Power Network ◽  
Short Term ◽  
Forecasting System ◽  
Power Forecasting ◽  
Distribution Power Network

Wind Power Forecasting Based on the BP Neural Network

2013 ◽  
Vol 341-342 ◽  
pp. 1303-1307 ◽  
Author(s):  
Jian Dong Mao ◽  
Xiao Jing Zhang ◽  
Juan Li
Keyword(s):  
Neural Network ◽  
Wind Power ◽  
Bp Neural Network ◽  
Engineering Application ◽  
Weather Forecast ◽  
Difficult Problem ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Forecasting System ◽  
Power Forecasting

Accurate short-term wind power forecasting has important significance to safety, stability and economy of power system dispatching and also it is a difficult problem in practical engineering application. In this paper, by use of the data of numerical weather forecast, such as wind speed, wind direction, temperature, relative humidity and pressure of atmosphere, a short-term wind power forecasting system based on BP neural network has been developed. For verifying the feasibility of the system, some experiments have been were carried out. The results show that the system is capable of predicting accurately the wind power of future 24 hours and the forecasting accuracy of 85.6% is obtained. The work of this paper has important engineering directive significance to the similar wind power forecasting system.

The Short-Term Load Forecasting Based on Rough Set

2011 ◽  
Vol 383-390 ◽  
pp. 5023-5027
Author(s):  
Zhi Xian Pi ◽  
Ru Zhi Xu ◽  
Jian Guo
Keyword(s):  
Decision Making ◽  
Power System ◽  
Rough Sets ◽  
Load Forecasting ◽  
Short Term ◽  
Forecasting Accuracy ◽  
Daily Work ◽  
Short Term Load Forecasting ◽  
Forecasting System

Short-term load forecasting in power system is an important daily work in Dispatch Operation Department of Power System. The level of forecasting accuracy directly affects the operating economy and supply quality of power system.This paper adopts the rough sets to forecast short-term load. It designs an overall structure of forecasting the short-term load based on the rough sets, applies the rough sets to analyze the importance of attribute of each condition on decision-making attribute and then gets a reduced forecasting system, lists examples to forecast short-term load on the basis of the real historical data, and compare the results with the traditional decision-making tree algorithm. The results of this study prove that the rough sets is much practical in short-term load forecasting.

Short-term power forecasting system for photovoltaic plants

2012 ◽  
Vol 44 ◽  
pp. 311-317 ◽  
Author(s):  
L. Alfredo Fernandez-Jimenez ◽  
Andrés Muñoz-Jimenez ◽  
Alberto Falces ◽  
Montserrat Mendoza-Villena ◽  
Eduardo Garcia-Garrido ◽  
...  
Keyword(s):  
Short Term ◽  
Forecasting System ◽  
Photovoltaic Plants ◽  
Power Forecasting

scholarly journals Short-term power-forecasting method of distributed PV power system for consideration of its effects on load forecasting

2017 ◽  
Vol 2017 (13) ◽  
pp. 865-869 ◽  
Author(s):  
Yu Liu ◽  
Zhi Li ◽  
Kai Bai ◽  
Zhaoguang Zhang ◽  
Xining Lu ◽  
...  
Keyword(s):  
Power System ◽  
Load Forecasting ◽  
Short Term ◽  
Forecasting Method ◽  
Power Forecasting

scholarly journals Short-term Load Forecasting System for Power System Based on Big Data

2021 ◽  
Vol 2143 (1) ◽  
pp. 012040
Author(s):  
Yang Donghui
Keyword(s):  
Big Data ◽  
Power System ◽  
Distribution System ◽  
Load Forecasting ◽  
System Stability ◽  
Stable Operation ◽  
Short Term ◽  
Power Distribution System ◽  
Short Term Load Forecasting ◽  
Forecasting System

Abstract Short-term load forecasting of power system is an important task of power distribution system. Accurate short-term load forecasting provides the best configuration for grid power generation and distribution, maximizing energy saving and ensuring stable operation. This paper aims to study the design of short-term load forecasting system of power system based on big data. On the basis of analyzing power system load forecasting algorithms, classification of load forecasting, characteristics of load forecasting and system design principles, each module of the system is designed in detail, and finally tested the performance of the system. The test results show that the system has no adverse reactions in the use of a large number of users and repeated operation for a long time. In the case of large throughput, the system has a satisfactory response time and relatively reliable system stability.

Development and Operational Status of Wind Power Forecasting System

2013 ◽  
Vol 133 (4) ◽  
pp. 366-372 ◽  
Author(s):  
Isao Aoki ◽  
Ryoichi Tanikawa ◽  
Nobuyuki Hayasaki ◽  
Mitsuhiro Matsumoto ◽  
Shigero Enomoto
Keyword(s):  
Wind Power ◽  
Wind Power Forecasting ◽  
Forecasting System ◽  
Power Forecasting
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