Volume 17, Issue 4 (December 2021)                   IJEEE 2021, 17(4): 2024-2024 | Back to browse issues page


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Karimpour A, Amani A M, Karimpour M, Jalili M. Enhancing Voltage Regulation in DC Microgrids Using a Price Incentive Load Management Approach. IJEEE 2021; 17 (4) :2024-2024
URL: http://ijeee.iust.ac.ir/article-1-2024-en.html
Abstract:   (1866 Views)
This paper studies the voltage regulation problem in DC microgrids in the presence of variable loads. DC microgrids generally include several Distributed Generation Units (DGUs), connected to electrical loads through DC power lines. The variable nature of loads at each spot, caused for example by moving electric vehicles, may cause voltage deregulation in the grid. To reduce this undesired effect, this study proposes an incentive-based load management strategy to balance the loads connected to the grid. The electricity price at each node of the grid is considered to be dependent on its voltage. This guide moving customers to connect to cheaper connection points, and ultimately results in even load distribution. Simulations show the improvement in the voltage regulation, power loss, and efficiency of the grid even when only a small portion of customers accept the proposed incentive.
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  • A load management method is proposed that can lead to more suitable voltage regulation and will maintain the current sharing among DGUs;
  • The proposed method can improve the voltage regulation, reduce the power losses in the network, and increasing the efficiency of the microgrid;
  • A different measure (fmax-min) to consider the voltage regulation in DC microgrids is proposed;
  • A complete model for RLC filter considered;
  • Consumption node voltages are considered as well as DGUs node voltages;
  • The proposed method is designed such that the average price does not change for customers.

Type of Study: Research Paper | Subject: Load Management
Received: 2020/11/02 | Revised: 2021/04/19 | Accepted: 2021/04/21

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.