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Robust scenario-based concept for stochastic energy management of an energy hub contains intelligent parking lot considering convexity principle of CHP nonlinear model with triple operational zones by Seyyed Mostafa Nosratabadi; Mohammad Jahandide; Josep M. Guerrero is a Environmental Science article available to read on EtoBox.

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In this paper, an energy management system is taken into account to control some distributed energy resources spread into an entity. The included facilities are aggregated by an energy hub (EH) and also equipped by some control and communication in a smart environment. Through this system, the stakeholder can prepare energy operational planning in the form of energy markets. In this paper, a novel convexity principle is presented to face the nonlinearity of combined heat and power (CHP) unit model considering triple operational zones. Here, the energy hub acts as a price taker in the energy markets. Here, some stochastic parameters such as day-ahead market price, wind power output, and plug-in hybrid electric vehicles (PHEVs) entry and exit time and their battery characteristics are considered; therefore a robust scenario-based optimization strategy is proposed to deal with them. The robust optimization is employed by upper and lower bounds for market price uncertain parameter by historical behaviors and also is presented through confidence bounds. Also, to deal with the wind power uncertainty, the scenario-based method is performed by scenario generation based on historical wind d

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Author

Seyyed Mostafa Nosratabadi; Mohammad Jahandide; Josep M. Guerrero

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)