Title of article
Reliability-based Operation in Energy Hubs with Several Energy Networks
Author/Authors
Malekijavan ، Alireza Department of Electrical Engineering - Shahid Sattari Aeronautical University of Science and Technolog Tehran , Aslinezhad ، Mehdi Department of Electrical Engineering - Shahid Sattari University of Aeronautical Engineering , Zaferani ، Hamidreza Department of electrical engineering - Tehransar-sama college
From page
433
To page
444
Abstract
The paper presents reliability-based operation (RBO) of an energy hub consisting of electric vehicles (EVs) and a combined cooling, heating, power (CCHP) system in electricity, natural gas, and district heating networks. The proposed strategy aims to minimize the total expected operating and reliability costs of the mentioned energy networks as its objective functions. Furthermore, the problem is subject to optimal power flow (OPF) equations, reliability constraints, and a hub energy model including constraints of EV parking lots and CCHP. This strategy has a mixed-integer nonlinear programming (MINLP) model, so MILP will be used to achieve a unique optimal solution in less computational time for the proposed scheme. Moreover, the scheme includes uncertainties of the load, energy price, the demand of EVs, and equipment availability of the given systems, which are modeled using scenario-based stochastic programming (SBSP). Finally, the approach is implemented on a standard test system in the GAMS software environment. Then, according to the numerical results, it is observed that the mentioned outline can achieve optimal operating conditions and high reliability in energy systems if the EVs and CCHPs are optimally managed in the energy hub form.
Keywords
Combined cooling , heating and power system , Electrical vehicle parking lot , Energy hub , Reliability , based operation , Stochastic linear programming
Journal title
International Journal of Industrial Electronics, Control and Optimization
Journal title
International Journal of Industrial Electronics, Control and Optimization
Record number
2687924
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