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

Manzoor Ellahi, Ghulam Abbas, Irfan Khan, Paul Mario Koola, Mashood Nasir, Ali Raza and Umar Farooq
Additional contact information
Manzoor Ellahi: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Ghulam Abbas: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Irfan Khan: Marine Engineering Technology Department in a joint appointment with Electrical and Computer Engineering Department, Texas A&M University, Galveston, TX 77554, USA
Paul Mario Koola: Ocean Engineering Department, Texas A&M University, Galveston, TX 77554, USA
Mashood Nasir: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Ali Raza: Electrical Engineering Department, The University of Lahore, Lahore 54000, Pakistan
Umar Farooq: Department of Electrical Engineering, University of the Punjab, Lahore 54590, Pakistan

Energies, 2019, vol. 12, issue 22, 1-30

Abstract: 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.

Keywords: renewable energy sources; forecasting; Weibull distribution; neural networks; optimal economic dispatch; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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