A Novel Power Losses Reduction Method Based on a Particle Swarm Optimization Algorithm Using STATCOM

Tuzikova, Valeriya; Tlustý, Josef; Müller, Zdeněk

doi:10.3390/en11102851

Cited by 30 publications

(19 citation statements)

References 10 publications

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“…Future research of presented steam turbine and its gland seals will firstly require much detailed measured data from exploitation (along with measurements of steam mass flow rates leaked through each gland seal) at various turbine loads. After obtaining such measured dataset, it will be used modern Artificial Intelligence (AI) tools [49][50][51] for further analyzing and possible optimizing [52,53] observed steam turbine (and its gland seals) operation.…”

Section: Steam Turbine Analysis By Taking Into Consideration All Glanmentioning

confidence: 99%

The Leakage of Steam Mass Flow Rate through the Gland Seals – Influence on Turbine Produced Power

Mrzljak,

Kudláček,

Begić-Hajdarević

et al. 2020

JMTS

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In this paper is presented an analysis of gland seals operation and their influence on the performance of low power steam turbine with two cylinders and steam reheating, which can be used in marine applications. Performed analysis presents a comparison of steam turbine main operating parameters when gland seals operation is neglected (as usual in the most of the literature) and when steam mass flow rates leaked through all gland seals are taken into consideration. Steam mass flow rate leakage through all gland seals reduces produced power of the whole turbine and both of its cylinders. Operation of gland seal mounted at the inlet in the first cylinder of any steam turbine (cylinder which operates with the steam of the highest pressure) has the most notable influence on the reduction of the whole turbine produced power. Gland seal mounted at the outlet of the last turbine cylinder (cylinder which operates with the steam of the lowest pressure) did not have any influence on the reduction of steam turbine produced power. In any detail analysis of a steam turbine (especially the complex turbine with multiple cylinders), gland seals operation should be considered due to their notable influence on the turbine performance.

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Section: Steam Turbine Analysis By Taking Into Consideration All Glanmentioning

confidence: 99%

The Leakage of Steam Mass Flow Rate through the Gland Seals – Influence on Turbine Produced Power

Mrzljak,

Kudláček,

Begić-Hajdarević

et al. 2020

JMTS

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“…Ghahremani and Kamwa [238] present a graphical user interface based on a genetic algorithm, to easily locate the FACTS. However, Tuzikova et al [239] use particle swarm optimization to reduce losses in the FACTS.…”

Section: Factsmentioning

confidence: 99%

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Hernández-Callejo

2019

Energies

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New technological advances based on software, hardware and new materials must be implemented in smart grids. In addition, these advanced electrical grids must incorporate elements of artificial intelligence. Advances in software development must be complemented with the development of new hardware (power electronics and active distribution among others). The aforementioned must rely on the development of new materials and sensors, which should be integrated into the smart grid. Therefore, the four areas of research based on the technologies are: Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering. The review presents the algorithms, materials, devices and others paradigms applied to smart grids, classifying the works according to the four areas of research. This review has focused on the four fundamental pillars of smart grids, on the one hand, the need for more efficient operation and control, followed by advanced maintenance management, to continue planning and designing the new grids, and for conclude with the advanced measurement. As you will see in the article, new devices, new techniques, and future scenarios will make possible the transition from the current grid to the future smart grid.

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“…Further investigation of the gas turbine presented in this paper will be based on the research and possible optimization of its operating parameters and characteristics by using several machine learning methods such as convolutional and multi-layer perceptron (MLP) neural networks [36,37], genetic algorithm (GA) [38,39], particle swarm optimization (PSO) [40], and many others.…”

Section: Figure 7 -Gas Turbine Specific Fuel Consumption Based On Thementioning

confidence: 99%

Analysis of Gas Turbine Operation before and after Major Maintenance

Mrzljak,

Anđelić,

Lorencin

et al. 2019

JMTS

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This paper presents an analysis of the gas turbine real process (with all losses included) before and after a major maintenance. The analysis of both gas turbine operating regimes is based on data measured during its exploitation. Contrary to authors’ expectations, the major maintenance process did not result either in any decrease in losses or increase in efficiencies for the majority of the gas turbine components. However, the major maintenance influenced positively the gas turbine combustion chambers (reduction in losses and increase in the combustion chambers efficiency). After the major maintenance, the overall process efficiency decreased from 43.796% to 41.319% due to a significant decrease in the air mass flow rate and to an increase in the fuel mass flow rate in combustion chambers. A decrease in the gas turbine produced cumulative and useful power after a major maintenance also increased the specific fuel consumption.

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A Novel Power Losses Reduction Method Based on a Particle Swarm Optimization Algorithm Using STATCOM

Cited by 30 publications

References 10 publications

The Leakage of Steam Mass Flow Rate through the Gland Seals – Influence on Turbine Produced Power

The Leakage of Steam Mass Flow Rate through the Gland Seals – Influence on Turbine Produced Power

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Analysis of Gas Turbine Operation before and after Major Maintenance

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