Energy Management of Renewable Energy Hubs including Storages and Electric Vehicles in the Electrical and Thermal Networks Based on Economic and Operation Objectives

Document Type : Research Paper

Author

Department of Electrical Engineering, National University of Skills (NUS), Tehran, Iran

Abstract

This article deals to the optimal power scheduling of renewable energy hubs based on storages and electric vehicles in electrical and thermal networks according to the optimal economic and operation goals of the networks operator. To estimate these goals, the minimization of the operating cost and energy losses of networks in the form of Pareto optimization based on the method of the sum of weighted functions is considered as the objective function. This scheme includes the constraints of linearized optimal power flow of networks and the operation model of hubs. Hubs include the limitations of renewable resources such as wind turbine, photovoltaic and bio-waste units, stationary storage such as hydrogen and thermal storage, and electric vehicles. The bio-waste system simultaneously plays a role in the production of electrical and thermal energy. Load, renewable power, energy price and parameters of electric vehicles are uncertainty. In this article, stochastic optimization is used to model the aforementioned uncertainties. Finally, the numerical results show the capability of the proposed scheme in improving the economic and operation status of energy networks by using appropriate energy management of the mentioned hubs. So that the optimal power scheduling of the storage devices and electric vehicles in the renewable hubs leads to the improvement of 29%-56% of the operational status and 35.5% of the economic status of energy networks compared to the load flow studies.

Keywords

Main Subjects

References

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Journal of Modeling in Engineering
Volume 23, Special Issue 81
Celebrating the 50th Anniversary of Semnan University- In Progress
July 2025
Pages 157-173

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History

  • Receive Date: 26 December 2023
  • Revise Date: 05 July 2024
  • Accept Date: 08 October 2024

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