Volume 18, Issue 4 (December 2022)  

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Abstract (1750 Views) | Full-Text (PDF) (659 Downloads)   |   Highlights
  • A probabilistic framework for analyzing the impact of DER penetration on system planning has been presented.  This adds a new dimension to planning methodology where, in addition to optimal sizing and placement, optimum DER penetration level can also be determined.
  • The penetration level in this work is correlated with the meteorological parameters on hour by hour basis. The formulation proposes the concept of analyzing the DER penetration through Penmin and Penmax. This adequately addresses the intermittent behavior of DERs.
  • A three-stage methodology has been developed to addresses the assessment of DER penetration level. The intermittent nature of DERs may pose up technical issues such as system reliability problem and voltage fluctuation. Thus, in this planning framework, technical problems are given due consideration while simultaneously handling the economic front. In order to enable in-depth economic evaluation, the technical and environmental objectives have been expressed as cost functions.
  • Different planning scenarios have been investigated in order to have an understanding of prioritizing objectives and penetration level from an economical perspective.

Abstract (1611 Views) | Full-Text (PDF) (1080 Downloads)   |   Highlights
  1. This paper presents a probabilistic optimal power flow algorithm using the Taguchi method based on orthogonal arrays and genetic algorithms.
  2. This method can apply correlations and is validated by simulation experiments in the IEEE 30-bus network.
  3. The test results of this method are compared with the Monte Carlo simulation results and the two-point estimation method.
  4. The accuracy and efficiency of the proposed Taguchi correlation method and the genetic algorithm are confirmed by comparison with the Monte Carlo simulation and the two-point estimation method.

Abstract (803 Views) | Full-Text (PDF) (509 Downloads)   |   Highlights
  1. Development of fast and accurate bagging tree-based protection scheme for DC microgrid.
  2. Performing the task of fault detection, classification, and section identification for DC microgrid under varying operating scenarios and fault conditions.
  3. Validation of the proposed scheme for immunity against varying nature of the fault and microgrid operation including intermittency in non-conventional distributed generators.

Abstract (1042 Views) | Full-Text (PDF) (515 Downloads)   |   Highlights
  1. Incorporation of optimal sizing of resource mix in planning framework. In this paper optimally technology sizing improves the selection and planning process of micro-grid.
  2. Consideration of battery storage (BS) as an integral component of system planning.
  3. Consideration of different sustainability parameter such as economic, technical, social and environmental.
  4. Consideration of sensitivity analysis for the analysis of parameter weight on resource mix selection.

Abstract (1797 Views) | Full-Text (PDF) (967 Downloads)   |   Highlights
  1. A new TDA-ML-based algorithm of AC microgrid protection is presented.
  2. SLG, DL, DLG , 3L, 3LG faults are classified in this paper accurately.
  3. The fault location is estimated with error lower than 20 m.
  4. Over than 8000 fault scenarios are used to train, validate, and test the TDA-ML-based approach.
  5. This method accurately operates with fault resistance and sampeling frequency variations.

Abstract (759 Views) | Full-Text (PDF) (461 Downloads)   |   Highlights
  1.  Modeling of the wind intermittency to observe the behavior the intermittency through Weibull function.
  2. Development of the ensemble of protection schemes to identify the mode of operation, fault detection/classification with faulty section identification.
  3. Validation of the proposed scheme through the test cases under diverse conditions.
  4. Simulation of the DC microgrid model to simulate the fault scenarios.
  5. Analysis of the protection scheme with other techniques.

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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.