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.
Highlights
Renewable energy sources (RESs) are the primary solution to the growing environmental concerns, which include carbon and nitrogen emissions and power shortages around the world
The results indicated that the presented hybrid artificial neural network (HANN) model had the capability of illustrating the fluctuations in the wind speed during different seasons of the year at different locations
RESs poses a major hurdle in their large-scales implementations but, supply forecasting helps power system planners to design and implement large RESs based on power generation farms
Summary
Renewable energy sources (RESs) are the primary solution to the growing environmental concerns, which include carbon and nitrogen emissions and power shortages around the world. The first half of the paper provides a review of forecasting mechanisms employed using WD, both with and without the incorporation of NNs for the removal of error in forecasted value, whereas the second half of the paper emphasizes on the solution of EDP using PSO and its variants while considering all constraints that emerge for the Economic Dispatch (ED) of RESs. This paper will provide researchers, power system engineers, planners, and developers a comprehensive survey on forecasting through WD for understating the working and possible issues in the regular, stable, reliable and efficient operation of power systems, and on solving ED problem incorporating RESs through PSO.
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