Volume 11, Issue 2 (7-2021)                   JEM 2021, 11(2): 56-69 | Back to browse issues page

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Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan, I.R.Iran.
Abstract:   (2183 Views)
The unprecedented penetration of distributed generation in distribution networks provides utilities with a unique opportunity to manage the portions of networks by microgrids (MG). The implementation of an MG may offer many benefits such as capital investment deferral, a reduction of greenhouse gas emissions, an improvement in reliability, and a reduction in network losses. In order to draw the most effective performance from MG systems with multiple energies, appropriate designs and operations are essential. This paper represents a compound co-optimization strategy to find the best type and size of components as well as the associated optimum dispatch in a MG with multiple energies considering the reliability criterion. The mixed-integer nonlinear programming technique of GAMS and the genetic algorithm of MATLAB software have been utilized to solve the optimization problem. In addition, a novel time-based demand response program is modeled to prevent the energy usage at the peak. Numerical simulations have proved the effectiveness of the proposed expansion planning.
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Type of Study: Research | Subject: Electrical Engineering
Received: 2019/04/18 | Revised: 2021/10/31 | Accepted: 2020/06/21 | Published: 2021/07/1

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