Digitalization in hydropower generation: development and numerical validation of a model-based Smart Power Plant Supervisor

Model-based diagnostic techniques can be used successfully in the health analysis of rotormachinery. Unfortunately, a poor accuracy of the model of the fully assembled machine, as well as noise in the signals and errors in the evaluation of the experimental vibrations that are caused only by the impending fault, can affect the accuracy of the fault identifications. This can make it difficult to identify the type of actual fault as well as to evaluate with care its severity and position. This article shows some techniques that have been developed by the authors to measure the accuracy of the results obtained with model-based identification methods aimed to diagnose faults in rotating machines. In this article, the results obtained by means of the analysis of experimental data collected in a power plant are described. Finally, the capabilities of the developed methods are shown and discussed.

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Notice of Retraction: Condensers optimization model based on turbine system load analysis in paper mill power plant

2010 2nd International Conference on Computer Engineering and Technology ◽

10.1109/iccet.2010.5485264 ◽

2010 ◽

Author(s):

Jinsong Tao ◽

Huanbin Liu ◽

Jigeng Li ◽

Yongjun Yin ◽

Zhihui Wu ◽

...

Keyword(s):

Power Plant ◽

Optimization Model ◽

Paper Mill ◽

System Load ◽

Model Based ◽

Load Analysis

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Dynamic Stability Improvement of Islanded Power Plant by Smart Power Management System—Principles, Descriptions and Scenarios

Green Energy and Technology - Advanced Smart Grid Functionalities Based on PowerFactory ◽

10.1007/978-3-319-50532-9_8 ◽

2017 ◽

pp. 181-209 ◽

Cited By ~ 2

Author(s):

Ali Parizad ◽

Hamid Khoshkhoo

Keyword(s):

Power Plant ◽

Power Management ◽

Dynamic Stability ◽

Management System ◽

Smart Power ◽

Power Management System

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Performance and Economic Assessment of a Grid-Connected Photovoltaic Power Plant with a Storage System: A Comparison between the North and the South of Italy

Energies ◽

10.3390/en12122356 ◽

2019 ◽

Vol 12 (12) ◽

pp. 2356 ◽

Cited By ~ 10

Author(s):

Ferdinando Chiacchio ◽

Fabio Famoso ◽

Diego D’Urso ◽

Luca Cedola

Keyword(s):

Power Plant ◽

Power Plants ◽

Low Voltage ◽

Storage System ◽

Economic Feasibility ◽

The South ◽

Model Based ◽

The North ◽

Photovoltaic Power ◽

Historical Series

Grid-connected low voltage photovoltaic power plants cover most of the power capacity installed in Italy. They offer an important contribution to the power demand of the utilities connected but, due to the nature of the solar resource, the night-time consumption can be satisfied only withdrawing the energy by the national grid, at the price of the energy distributor. Thanks to the improvement of storage technologies, the installation of a system of battery looks like a promising solution by giving the possibility to increase auto-consumption dramatically. In this paper, a model-based approach to analyze and discuss the performance and the economic feasibility of grid-connected domestic photovoltaic power plants with a storage system is presented. Using as input to the model the historical series (2008–2017) of the main ambient variables, the proposed model, based on Stochastic Hybrid Fault Tree Automaton, allowed us to simulate and compare two alternative technical solutions characterized by different environmental conditions, in the north and in the south of Italy. The performances of these systems were compared and an economic analysis, addressing the convenience of the storage systems was carried out, considering the characteristic useful-life time, 20 years, of a photovoltaic power plant. To this end the Net Present Value and the payback time were evaluated, considering the main characteristics of the Italian market scenario.

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