Titlebook: Energy Systems Transition; Digitalization, Deca Vahid Vahidinasab,Behnam Mohammadi-Ivatloo Book 2023 The Editor(s) (if applicable) and The

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Ein gemeinsames Ziel im Auge habens several challenges for the operators. They have difficulties to make suitable decisions for electricity market, due to uncertain nature of wind power. In this chapter, a new objective function considering wind power uncertainty is proposed to minimize total expected costs. To do so, a new procedur

細節(jié)

https://doi.org/10.1007/978-3-663-08979-7e the opportunity for the integration of multiple energy carriers with electrical energy. A VEH formed by smart grid framework can operate the plug-in hybrid electric vehicles (PHEV) and manage their behavior in a smart way. In this chapter, the energy management problem for the participation of VEH

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Grenzen der systemtheoretischen Perspektive,ric and hydrogen-based vehicles (HEHVs) have been introduced to facilitate decarbonized and decentralized coupled energy systems for decision-makers. So, HEHVs intelligent parking lot (IPL) integrated with MCMG is an appropriate solution. Accordingly, the considered MCMG in this chapter supplies mul

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Problemstellung und Untersuchungskonzept,, and a parametric study is accomplished to study the effect on the system performance of key variables. In the end, the system is optimized to determine its best operating condition for different cases.

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Grenzen der systemtheoretischen Perspektive,lts indicated the effectiveness of the introduced hybrid interval-stochastic model in which the deviation of overall operation cost is reduced up to 67.47%, while the average cost approximately is increased up to 1.87%.

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Hybrid Interval-Stochastic Optimal Operation Framework of a Multi-carrier Microgrid in the Presencelts indicated the effectiveness of the introduced hybrid interval-stochastic model in which the deviation of overall operation cost is reduced up to 67.47%, while the average cost approximately is increased up to 1.87%.

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Ein gemeinsames Ziel im Auge habene is presented to quantify probability density function (PDF) of each uncertainty interval based on wind power plant’s information. Considering the derived PDF, the objective function is formed and optimized by using meta-heuristic optimization algorithms. The results reveal a reduction in total expected cost has up to 20%.

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Book 2023n reference to energy distribution systems, it is suitable for researchers and industry practitioners from different branches of engineering, energy, data science, economics, and operation research.?.