NDLI: Wind power forecast with error feedback and its economic benefit in power system dispatch

Content Provider	IET Digital Library
Author	Ji, Tianyao Hong, Dongyi Zheng, Jiehui Wu, Qinghua Yang, Xiaoyu
Abstract	This study proposes a novel prediction model for uni- and multi-variable forecast, where error feedback is added to the original forecast value predicted using the persistence model. The error feedback mechanism is constructed to find out the relationship between the errors and the original forecast values. Simulation studies are carried out using wind power data obtained from two databases, and the results demonstrate that the proposed model provides a more accurate and stable forecast compared to other methods. Based on this, the economic benefit of accurate wind power forecast has been analysed for power system dispatch, which aims to minimise the operation cost. The dispatch results of two scenarios have shown that accurate forecast result decreases the cost of reserve capacity, balancer set invoking capacity and the possibility of wind curtailment, which leads to more economic dispatch of power systems.
Starting Page	5730
Ending Page	5738
Page Count	9
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 21, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5635
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-09-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accurate Wind Power Forecast Economic Benefit Economic Dispatch Error Feedback Mechanism Load Forecasting Multivariable Forecast Original Forecast Value Persistence Model Power Generation Dispatch Power Generation Economics Power System Dispatch Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Prediction Model Simulation Studies Wind Curtailment Wind Power Data Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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