Optimal DG placement and sizing for power loss reduction in a radial distribution system using MPGSA and sensitivity index method

Kdair, Mohammed; Cheng, Shijie

doi:10.1109/iciea.2016.7603837

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…A-line section (LS) is connected between bus (u) and bus (u+1) with impedance +j and the load ( at the bus (u+1). The load flow is calculated to find the power loss equation between bus (u) and bus (u+1) in terms of LS elements and parameters [15,16].…”

Section: Problem Formulationmentioning

confidence: 99%

Optimum Simultaneous Distributed Generation Units Insertion and Distribution Network Reconfiguration Using Salp Swarm Algorithm

.Mashal

Al-Rubayi²,

Kdair³

2020

ETJ

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Contemporary researches offer that most researchers have concentrated on either network reconfiguration or Distributed Generation (DG) units insertion for boosting the performance of the distribution system (DS). However, very few researchers have been studied optimum simultaneous distributed generation units insertion and distribution networks reconfiguration (OSDGIR). In this paper, the stochastic meta-heuristic technique belong to swarm intelligence algorithms is proposed. Salp Swarm Algorithm (SSA) is inspired by the behavior of salps when navigating and foraging in the depth of the ocean. It utilized in solving OSDGIR. The objective function is to reduce power loss and voltage deviation in the Distribution System. The SSA is carried out on two different systems: IEEE 33-bus and local Iraqi radial (AL-Fuhood distribution network). Three cases are implemented; only reconfiguration, only DG units insertion, and OSDGIR. Promising results were obtained, where that power loss reduced by 93.1% and recovery voltage index enhanced by 5.4% for the test system and by 78.77% reduction in power loss and 8.2% improvement in recovery voltage for AL-Fuhood distribution network after applying OSDGIR using SSA. Finally, SSA proved effectiveness after an increase in test system loads by different levels in terms of reduced power loss and voltage deviation comparison with other methods

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Section: Problem Formulationmentioning

confidence: 99%

Optimum Simultaneous Distributed Generation Units Insertion and Distribution Network Reconfiguration Using Salp Swarm Algorithm

.Mashal

Al-Rubayi²,

Kdair³

2020

ETJ

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“…The revenues include salvage value and grid sales. HOMER calculates the NPC by summing up the total discounted cash flows in each year of the project lifetime using the following equation [17,28]:…”

Section: Mathematical Modelmentioning

confidence: 99%

“…These indicators are used to find the type and size of the hybrid system of renewable energy sources that give the best performance [9,10]. It considered that Distributed Generation Technologies based on the renewable energy of essential technologies, called standalone hybrid renewable energy system [11][12][13], can be suitable options for remote and rural areas [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Techno-economic Viability and Energy Conversion Analysis of RHES with Less Weight/Area

et al. 2018

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This article proposes a new strategy to find the optimal location, configuration and size of the Renewable (wind-photovoltaic-diesel-battery) Hybrid Energy Systems (RHES (off-grid)). This study has two steps: first, the proposaltoa strategybased on a weather change to find the optimal location in Iraq using Hybrid Optimization Model for Electric-Renewables (HOMER) software. Second, the study will examine the influence of the techno-economic viability from side less weight and area on the optimal configuration/size of the RHES, which gives the maximum output power. A period of one-year for meteorological data for both solar radiation and wind speed has used. Finally, simulation results indicated that the optimal location for this RHES is the AL Harithah location. The analysis has shown that RHES can supply 89% of the load demands by renewable-energy. It is also successful in reducing the area required for installation of the RHES about 28%.

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“…Many of these benefits include Peak load saving, reliability and voltage stability improvement, decreasing power losses, power quality enhancement and less polluting emissions, improved security, grid strengthening, and reduced on-peak operating cost [6]. The demand for electrical service reliability is growing in modern society.…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

Jaleel¹,

Kdair²

2021

IJIES

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The electrical power system, especially that of the Electric Distribution Network (EDN) is more complex for the rapid deployment and penetration of Distributed Generation (DG). The DGs in the EDN are vulnerable to faults, and the reliability index considered is a critical factor in the work continuation of the EDN. The Particle Swarm Optimization (PSO) is modified to restrict the particle velocities when it runs to obtain the optimum solution for DG placement and capacity in the distribution network. This modification prevents the velocities from reach an acceptable level within a few iterations. This paper presents a new approach and good analysis to the evaluation of reliability and estimates the optimal location and capacity of the DGs units with multi-objective functions for power loss reduction and improves voltage profile. The optimization approach is based on the new Modified Particle Swarm Optimization (MPSO) for decision-making on strategic distribution system points for location and capacity of DGs using Matlab software.In this study, reliability is evaluated using the "Electrical Transient Analyzer Program, ETAP" and applied on an IEEE 33-bus test system. The obtained results of the proposed approach show superior on the other methods a reduction in real power losses by (60.13%) and an improvement in voltage profile by (88.34%).

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Optimal DG placement and sizing for power loss reduction in a radial distribution system using MPGSA and sensitivity index method

Cited by 7 publications

References 17 publications

Optimum Simultaneous Distributed Generation Units Insertion and Distribution Network Reconfiguration Using Salp Swarm Algorithm

Optimum Simultaneous Distributed Generation Units Insertion and Distribution Network Reconfiguration Using Salp Swarm Algorithm

Techno-economic Viability and Energy Conversion Analysis of RHES with Less Weight/Area

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

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