NDLI: Photovoltaic–wind joint power probability model based on multiple temporal and spatial scale

Content Provider	IET Digital Library
Author	Wu, Feng Jiang, Zenan Qian, Junxia Shi, Linjun Lin, Keman
Abstract	With an increasing number of renewable energy integrated into the power system, the impact of intermittent and random wind power and photovoltaic power on the power system is becoming larger and larger. To study the probabilistic correlation between wind power and photovoltaic power on different temporal and spatial scale, a joint probability model needs to be established. On the basis of the third-order Gaussian mixture model, a photovoltaic–wind joint power probability model is proposed in this study. By analysing the statistical probability characteristics of the measured power output data, this method avoids the error accumulation caused by the individual modelling of the wind and photovoltaic generators and considers the joint correlation between wind power and photovoltaic power. On the basis of this model, the corresponding time series of wind power and photovoltaic power is calculated. The results indicated that the coastal joint power probability model and the inland joint power probability model are quite different on the same time scale, the parameters of joint probability model on different time scales are close to each other. The effectiveness of the proposed method is verified by the measured data.
Starting Page	4546
Ending Page	4550
Page Count	5
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 20, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5491
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-07-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.C. Machine Coastal Joint Power Probability Model Energy ReSource Gaussian Processes Inland Joint Power Probability Model Intermittent Wind Power Measured Power Output Data Mixture Model Multiple Spatial Scales Multiple Temporal Scales Photovoltaic Generator Modelling Photovoltaic Power Photovoltaic Power System Photovoltaic-wind Joint Power Probability Model Power System Probabilistic Correlation Probability Random Wind Power Renewable Energy Solar Power Stations Statistical Probability Characteristic Statistics Third-order Gaussian Mixture Model Time Series TurboGenerator Wind Generator Modelling Wind Power 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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