Volume 15, Issue 3 (September 2019)                   IJEEE 2019, 15(3): 420-433 | Back to browse issues page

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Kiani Rad H, Moravej Z. Using a New Method to Incorporate the Load Uncertainty into the SEP Problem. IJEEE 2019; 15 (3) :420-433
URL: http://ijeee.iust.ac.ir/article-1-1266-en.html
Abstract:   (3462 Views)
In this paper, a new method is conducted for incorporating the forecasted load uncertainty into the Substation Expansion Planning (SEP) problem. This method is based on the fuzzy clustering, where the location and value of each forecasted load center is modeled by employing the probability density function according to the percentage of uncertainty. After discretization of these functions, the location and value of each of the new load centers are determined based on the presented fuzzy clustering based algorithm. A Genetic Algorithm (GA) is used to solve the presented optimization problem in which the allocations and capacities of new substations as well as the expansion requirements for the existing ones are determined. With the innovative presented method, the impact of uncertainty of the power and location of the predicted loads on the results of SEP is measured, and finally, it is possible to make a proper decision for the SEP. The significant features of this method can be outlined as its applicability to large-scale networks, robustness to load changes, the comprehensiveness and also, the simplicity of applying this method to various problems. The effectiveness of proposed method is demonstrated by application on a real sub-transmission system.
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Type of Study: Research Paper | Subject: Power Systems Operation
Received: 2018/04/09 | Revised: 2019/06/05 | Accepted: 2019/02/02

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

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© 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.