Titlebook: Robust Optimal Planning and Operation of Electrical Energy Systems; Behnam Mohammadi-ivatloo,Morteza Nazari-Heris Book 2019 Springer Natur

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https://doi.org/10.1007/978-3-030-04296-7Information gap decision theory; Power flow; Transmission network; Energy management systems; Energy gen

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Introduction to Information Gap Decision Theory Method,ility boundaries. Hence, occurrence of a contingency may cause an interconnected electricity grid to be faced with cascaded outages, loss of dynamic stability, and a widespread blackout. In recent years, various methods have been presented by scholars to model uncertainties associated with energy ma

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Information-Gap Decision Theory: Principles and Fundamentals,s have been developed to take advantage of the stochastic space of the problem, these methods are intensively dependent of the probabilistic information of various variables which are not always available. Relying on the severity of the failure, information-gap decision theory (IGDT) is a robust opt

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Risk-Constrained Scheduling of a Solar Ice Harvesting System Using Information Gap Decision Theory,s, and wide-area blackouts. To avoid them, on-peak electrical demand of air conditioning units can be supplied via renewable energy resources such as solar. By increasing rate of solar radiations and ambient temperature, total cooling demand of residential buildings increases causing a rise in elect

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Optimal Robust Scheduling of Renewable Energy-Based Smart Homes Using Information-Gap Decision Theoof electrical demand of the considered home. Moreover, the plug-in electric vehicles (PEVs) are considered in obtaining optimal robust scheduling of the studied smart home. The main objective is minimizing the consumer’s bill as a smart home energy management scheduling problem. The controllable app

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IGDT-Based Robust Operation of Integrated Electricity and Natural Gas Networks for Managing the Varctricity and natural gas networks for managing uncertainty of wind power production. A comprehensive transmission system of natural gas, which delivers natural gas fuel to natural gas-fired plants, is considered. Mixed-integer nonlinear programming (MINLP) has been used for modeling the proposed met

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Robust Short-Term Electrical Distribution Network Planning Considering Simultaneous Allocation of Rity service to end users. This strategy uses some classical actions and devices to effectively control the system power factor, reactive power, and the voltage magnitude of the network. Over the past decades, trends in this decision-making process have changed due to the integration of modern techno