Taxonomy of Uncertainty Modeling Techniques in Renewable Energy System Studies
|Title:||Taxonomy of Uncertainty Modeling Techniques in Renewable Energy System Studies||Authors:||Soroudi, Alireza||Permanent link:||http://hdl.handle.net/10197/11238||Date:||28-Jan-2014||Online since:||2019-12-10T10:13:41Z||Abstract:||With the introduction of new concepts in operation and planning of power systems, decision making is becoming more critical than ever before. These concepts include restructuring, smart grids, and the importance of environmental concerns. The art of decision making is defined as choosing the best action among available choices considering the constraints and input data of the problem. Decision making is usually a complex task which becomes more sophisticated when the input data of the problem are subject to uncertainty. This chapter presents a critical review of the state-of-the-art uncertainty in handling tools for renewable energy studies. Different uncertainty modeling tools are first introduced and then the appropriate ones for renewable energies are identified. Then, each method is implemented on a simple two-bus case study.||Type of material:||Book Chapter||Publisher:||Springer||Series/Report no.:||Green Energy and Technology book series (GREEN)||Copyright (published version):||2014 Springer||Keywords:||Uncertainty; Monte Carlo simulation; Point estimate method; Scenario based uncertainty modelling; Scenario based uncertainty decision making||DOI:||10.1007/978-981-4585-30-9_1||Language:||en||Status of Item:||Peer reviewed||Is part of:||Hossain, J., Mahmud, A. (eds.). Large Scale Renewable Power Generation: Advances in Technologies for Generation, Transmission and Storage||ISBN:||978-981-4585-30-9|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
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