Optimal Location and Size of Different Type of Distributed Generation with Voltage Step Constraint and Mixed Load Models

Payasi, R. P.; Singh, Asheesh Kumar; Singh, Devender

doi:10.1007/978-3-642-37949-9_30

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…DGs are categorized according to their ability to deliver real power or reactive power, or both. There are four categoriesof DG in terms of power delivery as defined in Table 1 [19]. P dg represents real power of DG and Q dg represents DGs reactive power.…”

Section: Dg Typementioning

confidence: 99%

Effect of DG Types and Penetration Level in Transmission System using Hybrid Optimization Technique for Loss Control

Shaaya¹

2020

IJETER

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Loss in power system is a significant issue as it effects power system quality of service. Distributed Generation (DG) installation in power system is one of loss compensation of choice.DG installation in terms of DG type, size and location must be properly planned to avoid over-compensation or undercompensation.This paper analyses the impact of installing different DG types and their penetration level to control transmission power system loss. Ahybrid optimization techniqueknown as Immunized-Brainstorm-Evolutionary Programming (IBSEP) was used to determine the optimal DG sizes and location. It is important to examine the effect of installingdifferent DG typesso that related authoritiesare informed on the worthinessof the approach. Comprehensive results are embedded in this paper to demonstrate the effect of installing different DG types in transmission system towards system loss which would be beneficial to the power system operators.The results show that DGs with real power is better at minimizing the system loss. The lossis further reduced as the DG penetration level increases.

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Section: Dg Typementioning

confidence: 99%

Effect of DG Types and Penetration Level in Transmission System using Hybrid Optimization Technique for Loss Control

Shaaya¹

2020

IJETER

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“…In 2011, a new member of swarm intelligence algorithm named Brainstorm Optimization (BSO) algorithm has caught attention of many researchers as it mimics the collective behavior of human. Though it is successfully applied to solve science and engineering problems, it has high computational burden due to its Kmeans clustering technique [19].…”

Section: Introductionmentioning

confidence: 99%

Effect of Optimal Multi-DG Siting and Sizing in Transmission System using Hybrid Optimization Technique for Loss Control

Shaaya¹,

Musirin

Sulaiman

et al. 2019

IJEAT

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The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. The installation of DG has been expanded in both the transmission and distribution systems. Improper planning of DGs installation may lead to over-compensation or undercompensation. Thus, a reliable optimization is urgent to alleviate any undesirable event. This paper analyses the impact of multiDGs installation utilizing a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for loss control involving different DG types. Comprehensive results embedded in this paper show that more optimal DGs of a particular type are superior to the other in controlling transmission system loss.

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“…Comprehensive results are embedded in this paper to demonstrate the effect of multi-DGs installation in transmission system which in turns beneficial to the utility.  Effect of optimal multi-DG siting and sizing in transmission system… (Sharifah A. Shaaya) 647 ability to deliver or absorb reactive power [13,14]. These studies found that different type of DG will affect power network performance differently.Inventing robust and reliable optimization technique to determine optimal DG location and size is currently trending in the researchers community, aiming at alleviating setbacks in the existing optimization techniques [15][16][17][18][19][20].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Effect of optimal Multi-DG siting and sizing in transmission system using hybrid optimization technique for voltage control

Shaaya

Musirin²,

Sulaiman

et al. 2020

IJEECS

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The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. Inappropriate installation of DGs may lead to over-compensation or under-compensation situation. Thus, a reliable optimization is urgent to avoid any unwanted effect. This paper analyses the installation impact of different types-multi-DGs determined using a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for voltage control involving different DG types. Comprehensive results are embedded in this paper to demonstrate the effect of multi-DGs installation in transmission system which in turns beneficial to the utility.  Effect of optimal multi-DG siting and sizing in transmission system… (Sharifah A. Shaaya) 647 ability to deliver or absorb reactive power [13,14]. These studies found that different type of DG will affect power network performance differently.Inventing robust and reliable optimization technique to determine optimal DG location and size is currently trending in the researchers community, aiming at alleviating setbacks in the existing optimization techniques [15][16][17][18][19][20]. Apart from finding higher probability of optimum solution towards meeting the objective functions, new optimization algorithms are developed to reduce computational burden in the classical optimization techniques [21,22] Brainstorm Optimization (BSO) is a newly developed algorithm that made its appearance in 2011. An algorithm that mimics the collective behavior of human has caught attention of many researcherst. Though it is proven reliable in solving science and engineering problems, it does has high computational burden due to its K-means clustering technique as well as easily trapped in the local maxima [23][24][25][26]. In this paper, an optimization technique that embed Artificial Immune System (AIS) optimization technique and BSO into the frame of Evolutionary Programming (EP) algorithm is used to determine optimal locations and sizes of multiple DGs, of different power delivering capabilities, in power transmission system for voltage control. The hybrid technique is termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP).

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Optimal Location and Size of Different Type of Distributed Generation with Voltage Step Constraint and Mixed Load Models

Cited by 5 publications

References 23 publications

Effect of DG Types and Penetration Level in Transmission System using Hybrid Optimization Technique for Loss Control

Effect of DG Types and Penetration Level in Transmission System using Hybrid Optimization Technique for Loss Control

Effect of Optimal Multi-DG Siting and Sizing in Transmission System using Hybrid Optimization Technique for Loss Control

Effect of optimal Multi-DG siting and sizing in transmission system using hybrid optimization technique for voltage control

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