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Open AccessJournal ArticleDOI

A review on the integration of probabilistic solar forecasting in power systems

Binghui Li, +1 more
- 01 Sep 2020 - 
- Vol. 210, pp 68-86
TLDR
In this paper, a comprehensive review on how probabilistic solar forecasts are utilized in power systems to address the challenges is presented, such as probabilistically load flow models, stochastic optimization, robust optimization, and chance constraints.
About
This article is published in Solar Energy.The article was published on 2020-09-01 and is currently open access. It has received 65 citations till now. The article focuses on the topics: Solar power & Probabilistic logic.

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Citations
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Online Short-term Solar Power Forecasting

TL;DR: The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h, where the results indicate that for forecasts up to 2 h ahead the most important input is the available observations ofSolar power, while for longer horizons NWPs are theMost important input.
Posted Content

Recent advances in electricity price forecasting: A review of probabilistic forecasting

TL;DR: A tutorial review of probabilistic electricity price forecasting can be found in this article, where the authors present guidelines for the rigorous use of methods, measures and tests, in line with the paradigm of "maximizing sharpness subject to reliability".
Journal ArticleDOI

Post-processing in solar forecasting: Ten overarching thinking tools

TL;DR: This paper emphasizes on the value of post-processing, and provides an outlook for future research, and the materials herein discussed can be applied to wind and other forecasting areas.
Journal ArticleDOI

A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

TL;DR: The ability to forecast solar irradiance plays an indispensable role in solar power forecasting, which constitutes an essential step in planning and operating power systems under high penetration of solar power generation as discussed by the authors .
References
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Book

Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
BookDOI

Introduction to Stochastic Programming

TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
Book

Power System Analysis

Hadi Saadat
TL;DR: This is the first text in this area to fully integrate MATLAB and SIMULINK throughout and provides students with an author-developed POWER TOOLBOX DISK organized to perform analyses and explore power system design issues with ease.
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