Equivalent model of multi-type distributed generators under faults with fast-iterative calculation method based on improved PSO algorithm

Abstract

There are various types of distributed generators (DGs) with different grid integration strategies. The transient characteristics of the fault currents provided by the DGs are different to those of conventional synchronous generators. In this paper, a distribution network with multi-type DGs is investigated, including consideration of DG low-voltage ride through (LVRT). The fault current characteristics of two typical DGs, i.e. an inverter-interfaced distributed generator (IIDG) and a doubly-fed induction generator (DFIG), are analyzed, considering the specific operation modes. Based on analysis of the fault characteristics, an equivalent model of the multi-type DGs under symmetrical/asymmetrical fault conditions is established. A fast-iterative fault calculation method for enhancing the calculation efficiency while avoiding local convergence is then proposed using an improved particle swarm optimization (PSO) algorithm. A simulation system of the distribution network with multi-type DGs is established in PSCAD/EMTDC. The simulation results validate the high accuracy and calculation efficiency of the proposed calculation method of the fault components. This can assist in the settings of the protection threshold.

Evaluations of Practical Engineering Application of Photovoltaic Reconfiguration Technology

“…Meta-heuristic algorithm-based PV reconfiguration strategy is a very active area of research in recent years because of its flexibility, and there is no need of a precise system model (Yang et al, 2020a;Yang et al, 2020b;Dasu et al, 2021;Sakthivel and Sathya, 2021;Wang et al, 2021). So far, genetic algorithm (Deshkar et al, 2015), gravitational search algorithm (Hasanien et al, 2016), particle swarm algorithm (Babu et al, 2018), modified Harris hawks algorithm (Yousri et al, 2020a), marine predators algorithm (Yousri et al, 2020b), grey wolf optimization algorithm (Balraj and Stonier, 2020), butterfly optimization algorithm (Fathy, 2020), artificial ecosystembased optimization (Yousri et al, 2020c), democratic political algorithm (Yang et al, 2021b), and other several meta-heuristic algorithms are applied in PV reconfiguration research.…”

Maximum Power Point Tracking of Thermoelectric Generation Systems Under Nonuniform Temperature Distribution: A State-of-the-Art Evaluation

“…In addition, it is worth investigating for researchers to study more efficient and systematic metaheuristic algorithms, thus, realizing efficient MPPT for the PV-TEG system (Liu et al, 2020;Wang et al, 2021;Zhang et al, 2021).…”

A Control based Solution for Directional Relays of Lines with Converter-Interfaced Sources

“…In addition, a certain amount of I2 is also necessary to activate NSDRs, so β can be chosen from 0.2 to 1 [19]. After that, the initial values of I1 and I2 can be calculated from (23). However, the actual fault current must be less than γIN since the phase angle difference between positive-and negativesequence currents is not considered in (23).…”

“…After that, the initial values of I1 and I2 can be calculated from (23). However, the actual fault current must be less than γIN since the phase angle difference between positive-and negativesequence currents is not considered in (23). To make full use of short-circuit capacities, the method to maximize fault currents will be discussed in the next section.…”