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Load forecasting techniques for networks with distributed generation (DG) sources

Authors: Hu Xiaojing; Wei Lei; Jiang Ning; Jia Honggang; Yan Na;

Load forecasting techniques for networks with distributed generation (DG) sources

Abstract

This research discusses the medium and long term load forecasting techniques that are an essential basis for planning of such a distribution network taking into account the high penetration of DGs into network. The net load demand of HV/MV network has become more complicated, load forecasting encounters greater challenges than ever. Volatility and intermittency of DG sources such as wind and solar power greatly influences the load characteristics. A modern medium and long term load forecasting method for distribution network with DGs is investigated in this paper, which concerns time-varying characteristic of DG output power. The conventional spatial load forecasting results are collected, then the yearly time-varying curves of DG output using Monte Carlo simulation and the superposing time-varying curves of conventional load as well as DGs. From these the net-load forecasting result for distribution network is got, which is more accurate than ever.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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