Dissertation > Excellent graduate degree dissertation topics show
Distribution Network Reconfiguration Based on Load Forecasting
Author: YinJinLiang
Tutor: HuoLiMin
School: Agricultural University of Hebei
Course: Agricultural Electrification and Automation
Keywords: Distribution network reconfiguration Partheno-genetic algorithm Load forecasting Genetic Programming
CLC: TM715
Type: Master's thesis
Year: 2009
Downloads: 177
Quote: 0
Read: Download Dissertation
Abstract
|
Distribution network reconfiguration is an important method that can improve the economy of power system running, power supply quality and power supply safety. It not only can reduce the network loss, improve voltage quality but also can balance load of power system making the distribution of load among the feeders and transformers more reasonable, void lines and transformers overload. It can improve the operating condition and operating safety.There are two main research directions of distribution network reconfiguration. One is distribution network real time reconfiguration that changes the configuration of distribution network according to the power load all the time. If the reconfiguration is according to power load data uploaded, the result of the reconfiguration of distribution network is according to historical conditions of the distribution network not the present running conditions because the obtaining and transmission of data, program running and action of remote device need time. So the result of distribution network reconfiguration got by the program is according to the running conditions of the time that the data got. The other is distribution network reconfiguration of time segment that reconfigures the distribution network hourly, daily or monthly etc. And if it is according the power load uploaded, the result of distribution network reconfiguration is for the historical time segment. All in a word, the distribution network reconfiguration based on power load uploaded will affect the realistic significance of reconfiguration.In recent years, load forecasting technology has become mature, the forecast accuracy and speed are greatly improved. This article attempts to forecast the power load first, then reconfigure the distribution network based on the load forecasting data, so that we can predict the optimal operation structure of distribution network at a certain time or a time segment. The optimal operation structure of distribution network can be pre-judged. So the making of operation mode and the dispatching can refer to the result of the reconfiguration. The requirements of computing speed can also be lowered. The genetic programming algorithm was used in power load forecasting, and the sample data was pretreated before forecasting in this paper. The power load of working days and weekends was forecasted separately. The distribution network reconfiguration adopted partheno-genetic algorithm (PGA) and it was improved according to the characteristics of distribution network reconfiguration.The useful methods that resolve circle network and isolated island was presented problem. And it is applicable for program design. The solution for load transfer problem was given which met during the program design. The approach for the search of distribution network based on GIS database was also given.SQL Server 2000 was adopted as database management system. Visual Studio.NET was taken as development platform. The distribution network reconfiguration based on load forecasting was developed. The programming language adopted VC#.NET which is advanced and object-oriented. The result of distribution network reconfiguration can be displayed by the GIS or by main wiring graph.
|
Related Dissertations
- Research on Support Vector Regression in Prediction of the Short-term Load of Power System,TM715;F224
- Research on Distribution Network Planning of Luogang District,TM715
- Research on Daily Load-forecasting for Power Grid Based on ANN,TM715
- An Improved Method for Short-term Load Forecasting Based on FFT and Chaos,TM715
- Research of a Medium and Long-term Load Forecasting Method,TM715
- Research on Key Issuses of Network Loss Reduction for QinGPU Distribution Power GRID,TM714.3
- Consider short-term load forecasting PV,TM715
- Fabric based on genetic programming adaptive orthogonal wavelet construction and optimization,TP274
- Genetic hybrid algorithm based on particle swarm Distribution Network Reconfiguration,TM732
- Low-carbon community distribution system planning studies,TM715
- Based on wavelet and neural network theory of power system load forecasting,TM715
- Short - term load forecasting , energy management system based on support vector machines,TM715
- Research and Implementation of Decision Tree-based Short-term Load Forecasting System,TM715
- Study on Short-Term Power Load Prediction Based on Support Vector Regression Modeling Method,TM715
- Study on Multi-Expression Programming and Its Application of Evolutionary Modeling,TP311.1
- Short-Term Load Forecasting Study Based on Neural Network,TM715
- Study on Urban Distribution Network Planning of Zhangjiagang,TM727.2
- The White Noise Separation for Short Time Microgrid Load Forecasting,TM715
- Research of A Medium and Long-term Load Forecasting Model and Method,TM715
- Study of Fault Location and Network Reconfiguration in Distribution System,TM727
- Research on Kangbashi Low and Medium Voltage Distribution Network Planning Project,TM715
CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Power system planning
© 2012 www.DissertationTopic.Net Mobile
|