Anti-Islanding Protection of Distributed Generation Based on Social Spider Optimization Technique

Vijay, Dr.R.; Priya, V. Janaki

doi:10.22161/ijaers.4.6.5

Cited by 6 publications

(9 citation statements)

References 11 publications

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“…SSO characteristics that can minimize the occurrence of local optimum solutions makes this algorithm is often used to solve various problems such as Artificial Neural Network Training [23], [24], Support-Vector-Machine Parameter Tuning [25], [26], Controller Design [27]- [29], Frequency Controller [30], Image Processing [31], [32], Distributed Renewable Energy [33], Congestion Management [34], or Anti-Islanding Protection [35]. [36] shows several international publications that have been indexed by JCR (Journal Citation Report) from 2014 to 2017.…”

Section: Paper Contribution a Sso Basic Conceptmentioning

confidence: 99%

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Husodo

Jati

Octavian³

et al. 2020

IEEE Access

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We propose an optimization algorithm for reducing execution time needed by multiple pursuers in solving a variant of the Multiple-Pursuer Multiple-Evader (MPME) problem where each evader tries to attack an area defended by pursuers. This problem is a variant of the Multi-Agent Pursuit Evasion problem. In our discussed problem, a group of pursuers tries to defend an area from a group of evaders' attacks. The main task given in this problem is how pursuers can capture or immobilize as soon as possible any evader trying to get closer to the defended area (evaders' target). We use Social Spider Optimization (SSO) algorithm as the basis of our proposed method. In SSO, there are female spiders, dominant-male spiders, and non-dominant-male spiders collaborating to catch their prey. In SSO, there are three main procedures usually exist: calculation of fitness value, the vibrational summons of surrounding spiders, and mating procedure. In this paper, we develop an enhanced SSO algorithm where excludes the mating procedure and propose a practical calculation process for solving our discussed problem. SSO is one of the recent optimization algorithms developed in the computer science field. Developing this algorithm for solving dynamic problem like the MPME variant surely brings a novelty in the computer science research area. We test our proposed method in a 3D simulation environment where we manifest all pursuers and evaders as drones. Based on our experiment result, our algorithm performs better than commonly used methods for solving the MPME problem.

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Section: Paper Contribution a Sso Basic Conceptmentioning

confidence: 99%

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Husodo

Jati

Octavian³

et al. 2020

IEEE Access

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“…This test system contains 62 Bus, 89 Transmission lines, 11 Transformers, 19 Generators and 32 Loads. The system data are taken from the reference [14]. The base is 100 MVA.…”

Section: Resultsmentioning

confidence: 99%

“…Combining the expressions for ∆P i ic β and ∆P i pc [β] and after rearrangement ∆ is got as ∆ β ≈N 0 (∆P β -P a,b β+1 v a,b ) (13) This indicates that the mean of ∆ β is-N 0 P a,b β+1 v a,b is not simply 0 (as in all sample j<β). Thus at j=β, ∆ β ~f (a,b) ic (14) where…”

Section: B Power System Transmission Line Outage Modelmentioning

confidence: 99%

Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm

Raghunathan¹

2018

CVRJST

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The load on the power system network is proliferating along with massive inter-area transfers. Hence it is substantial to have reliable real-time information about the network parameters of the electric power system. To monitor real-time operational reliability, the network model of the system has to be updated continuously in a timely manner to reflect current system conditions. For this continuous data updating, the Phasor Measurement Units (PMUs) are deployed. PMUs measure the phase at very high speed at different locations by different devices and synchronize them with time. In manipulating the arithmetical possessions of voltage phase angle capacities attained from PMUs, this method is formulated. The proposed method detects and identifies the line outages in near real-time. In this method, outage in an unknown line is detected by using Communal Spider Algorithm (CSA) and is verified on Indian utility-62 bus test system. Using CSA, the system performance of the power network model is optimized and the line outage is reduced.

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“…CSOA is one of the recent nature-inspired optimization techniques acquired from the behavior of social spiders (Cuevas et al , 2013; Vijay and Priya, 2017). The female population of spiders are randomly nominated in the range 0.65–0.9 of the whole population is considered with two diverse exploration agents such as males and females.…”

Section: Communal Spider Optimization Algorithmmentioning

confidence: 99%

Performance enrichment in optimal location and sizing of wind and solar PV centered distributed generation by communal spider optimization algorithm

Raviprabhakaran¹

2022

COMPEL

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Purpose The distributed generation (DG) proper placement is an extremely rebellious concern for attaining their extreme potential profits. This paper aims to propose the application of the communal spider optimization algorithm (CSOA) to the performance model of the wind turbine unit (WTU) and photovoltaic (PV) array locating method. It also involves the power loss reduction and voltage stability improvement of the ring main distribution system (DS). Design/methodology/approach This paper replicates the efficiency of WTU and PV array enactment models in the placement of DG. The effectiveness of the voltage stability factor considered in computing the voltage stability levels of buses in the DS is studied. Findings The voltage stability levels are augmented, and total losses are diminished for the taken bus system. The accomplished outcomes exposed the number of PV arrays accompanied by the optimal bus location for various penetration situations. Practical implications The optimal placement and sizing of wind- and solar-based DGs are tested on the 15- and 69-test bus system. Originality/value Moreover, the projected CSOA algorithm outperforms the PSOA, IAPSOA, BBO, ACO and BSO optimization techniques.

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Anti-Islanding Protection of Distributed Generation Based on Social Spider Optimization Technique

Abstract: Abstract-Anti-islanding protection is one of the most important requirements for the connection of Distributed

Cited by 6 publications

References 11 publications

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Enhanced Social Spider Optimization Algorithm for Increasing Performance of Multiple Pursuer Drones in Neutralizing Attacks From Multiple Evader Drones

Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm

Performance enrichment in optimal location and sizing of wind and solar PV centered distributed generation by communal spider optimization algorithm

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