Volume 16, Issue 3 (September 2020)  

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Special Issue on Smart Grids
Abstract (2322 Views) | Full-Text (PDF) (1298 Downloads)   |   Highlights
  • Unbalanced voltage compensation using extended DDSRF;
  • Power sharing under unbalance load condition;
  • Voltage drop (caused by virtual impedance) compensation using the proposed algorithm.

Abstract (2548 Views) | Full-Text (PDF) (1019 Downloads)   |   Highlights
  • The problem of the power system dynamic state estimation under cyber-attacks is studied in this paper.
  • A unique feature of the proposed method is its ability in the estimation of the attack vector.
  • By obtaining the dynamics of the attack vector using an unknown input observer, a new augmented system model is derived in this paper.
  • The effects of cyber-attacks, modeling uncertainties, and modeling noises are decoupled and separately considered in the proposed approach, which increases the estimation accuracy.
  • Detail mathematical analysis and several simulations demonstrate the effectiveness of the proposed method.

Abstract (3423 Views) | Full-Text (PDF) (1516 Downloads)   |   Highlights
  • To model pseudo measurements using multilayer perceptron artificial neural network
  • To implement a radial basis function neural network in error modeling.
  • To optimize the RBF neural network by the imperialist competitive algorithm.

Abstract (2370 Views) | Full-Text (PDF) (1112 Downloads)   |   Highlights
  • This paper presents an improved version of the WOA to find the location of short circuit faults in active power distribution networks;
  • The method is conceptually simple and can be implemented in large branched distribution networks with several load taps and laterals;
  • The proposed method can be applied to distribution networks with DER without requiring their information, it does not face the multiple solution problem and it gives accurate results for different fault types;
  • In comparison with the deterministic voltage sag-based techniques, the proposed method has fewer calculations and provides more accurate results;
  • The proposed method can maintain its accuracy in an acceptable range, even when accurate data of distribution network loads are not available.

Abstract (2806 Views) | Full-Text (PDF) (1054 Downloads)   |   Highlights
  • For the transient voltage stability of DFIG, a new controller-based strategy is proposed.
  • In the proposed strategy, active and reactive power reference values are changed.
  • Modified Transient voltage control using the VDI index is used to change references.
  • PI parameters of DFIG are optimally tuned using the imperialist competitive algorithm.

Abstract (2475 Views) | Full-Text (PDF) (1249 Downloads)   |   Highlights
  • Real-time prediction of voltage stability using Differential Evolution-based Support Vector Machine has been performed
  • Effect of overcurrent protection of transmission line has been considered on voltage stability assessment
  • Transient monitoring of voltage stability prediction in the presence of overcurrent protection during and post-disturbances period

Abstract (2528 Views) | Full-Text (PDF) (1152 Downloads)   |   Highlights
  • A novel iterative method to locate the FCLs optimally in multi-level voltages and meshed networks considering DG penetration.
  • A modified genetic algorithm and sensitivity analysis is used to determine the best allocation scenario based on the least economic costs and fault current reduction as technical constraints.
  • A new efficient sensitivity index is defined to reduce the search space of GA and calculation burden purposefully.
  • A framework has been proposed based on the analysis of the different behavior of the types of FCLs in fault current mitigation.

Abstract (3448 Views) | Full-Text (PDF) (1285 Downloads)   |   Highlights
  • Optimal placement and sizing of Renewable Distributed Generation Units in a distribution network;
  • Use of Dragonfly Optimization Algorithm for finding the optimal locations and sizing of DGs.for deferent load levels;
  • Application on two radial distribution test networks.

Abstract (2694 Views) | Full-Text (PDF) (1064 Downloads)   |   Highlights
  • Proposing a stochastic model for MG operation with couples DFR, and optimal planning of DGs.
  • Formulating the optimization problem as a MOP considering four goals that are minimization of the operational cost, minimization of the active power loss, maximization of VSI, and minimization of emissions.
  • Using the copula-based method for modeling the stochastic pattern of wind speed, solar irradiance, and electrical demand.
  • Using a stochastic optimization based on the IMOPSO algorithm.
  • Using a fuzzy technique to select the best-compromised solution among the Pareto front solutions.

Abstract (3479 Views) | Full-Text (PDF) (1542 Downloads)   |   Highlights
  • Proposing a scenario-based stochastic combined model for MGs including DGs that are MT, PAFC, WT, and PV and ESSs that are BESS and PEVs.
  • Modeling the DR as the ToU program and the curtailable loads program.
  • Modeling the WT and PV generation with associated stochastic patterns.
  • Presenting an energy management pattern constituting operation cost and emissions simultaneously.
  • Enhancing the performance of MG with considering generation and load reserves.
  • Using the AUGMECON method and fuzzy-based decision-maker to minimize objective functions and choosing the most suitable solution, respectively.

Abstract (2576 Views) | Full-Text (PDF) (1172 Downloads)   |   Highlights
  • Distribution load flow (DLF) calculation is studied in radial distribution networks, considering the presence of distributed generation plants in the PV-mode.
  • A very fast DLF using zooming algorithm associated with a fast-decoupled reactive power compensation technique causes to reduce the solution time.
  • A new physical connection matrix building method is proposed.
  • The method is tested on the IEEE 69-bus as a balanced network and the IEEE 123-bus as a very unbalanced system.

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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.