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Review

Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review

1
Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
2
Marine Engineering Technology Department in a joint appointment with Electrical and Computer Engineering Department, Texas A&M University, Galveston, TX 77554, USA
3
Ocean Engineering Department, Texas A&M University, Galveston, TX 77554, USA
4
Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
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Department of Electrical Engineering, University of the Punjab, Lahore 54590, Pakistan
*
Author to whom correspondence should be addressed.
Energies 2019, 12(22), 4392; https://doi.org/10.3390/en12224392
Received: 1 October 2019 / Revised: 29 October 2019 / Accepted: 6 November 2019 / Published: 19 November 2019
Renewable energy sources (RESs) are the replacement of fast depleting, environment polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such as variable supply towards the load during different periods, and mostly they are available at distant locations from load centers. This paper inspects forecasting techniques, employed to predict the RESs availability during different periods and considers the dispatch mechanisms for the supply, extracted from these resources. Firstly, we analyze the application of stochastic distributions especially the Weibull distribution (WD), for forecasting both wind and PV power potential, with and without incorporating neural networks (NN). Secondly, a review of the optimal economic dispatch (OED) of RES using particle swarm optimization (PSO) is presented. The reviewed techniques will be of great significance for system operators that require to gauge and pre-plan flexibility competence for their power systems to ensure practical and economical operation under high penetration of RESs. View Full-Text
Keywords: renewable energy sources; forecasting; Weibull distribution; neural networks; optimal economic dispatch; particle swarm optimization renewable energy sources; forecasting; Weibull distribution; neural networks; optimal economic dispatch; particle swarm optimization
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MDPI and ACS Style

Ellahi, M.; Abbas, G.; Khan, I.; Koola, P.M.; Nasir, M.; Raza, A.; Farooq, U. Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review. Energies 2019, 12, 4392. https://doi.org/10.3390/en12224392

AMA Style

Ellahi M, Abbas G, Khan I, Koola PM, Nasir M, Raza A, Farooq U. Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review. Energies. 2019; 12(22):4392. https://doi.org/10.3390/en12224392

Chicago/Turabian Style

Ellahi, Manzoor, Ghulam Abbas, Irfan Khan, Paul M. Koola, Mashood Nasir, Ali Raza, and Umar Farooq. 2019. "Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review" Energies 12, no. 22: 4392. https://doi.org/10.3390/en12224392

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