Published February 2019 | Version v1
Journal article

A review on the selected applications of forecasting models in renewable power systems

  • 1. King Fahd University of Petroleum & Minerals, Dhahran, 31261 (Saudi Arabia)

Description

This paper presents a literature review on the selected applications of renewable resource and power forecasting models to facilitate the optimal integration of renewable energy (RE) in power systems. This review is drafted on the basis of the selected high quality research publications from the past decade. Although the development of forecast models for RE generation, i.e., wind and solar energy, is a well-researched area, however, the performance of these models is usually evaluated using statistical error metrics. With regard to application, determining the optimality of accurate forecasts in terms of system economics and major planning aspects is an emerging phenomenon, that chalks out the main subject area of this survey. Specifically, the application domains include: 1) optimal power system dispatch (unit commitment, generation scheduling, economic dispatch), 2) optimal sizing of energy storage system, 3) energy market policies and profit maximization of market participants, 4) reliability assessment, and 5) optimal reserve size determination in power systems. The application-oriented review on these vital areas can be used by the power sector for familiarization with the recent trends and for analyzing the impact of forecasting improvement on optimal power system design and operation.

Additional details

Identifiers

DOI
10.1016/j.rser.2018.09.046;
PII
S1364032118306932;

Publishing Information

Journal Title
Renewable and Sustainable Energy Reviews
Journal Volume
100
Journal Page Range
p. 9-21
ISSN
1364-0321

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55020557
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
BIOMASS; ENERGY POLICY; ENERGY STORAGE; ENERGY STORAGE SYSTEMS; ENVIRONMENTAL POLICY; PERFORMANCE; POWER SYSTEMS; PUBLIC OPINION; SOLAR ENERGY
Descriptors DEC
ENERGY; ENERGY SOURCES; ENERGY SYSTEMS; GOVERNMENT POLICIES; RENEWABLE ENERGY SOURCES; STORAGE

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.