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Online ISSN 1752-1424
Print ISSN 1752-1416

IET Renewable Power Generation (RPG) brings together the topics of renewable energy technology, power generation and systems integration, with techno-economic issues. All renewable energy generation technologies are within the scope of the journal.

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Impact Factor: 3.605
5-year Impact Factor: 3.649
CiteScore: 4.6
SNIP: 1.452
SJR: 1.041

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2019 Research Highlights

Ángel Molina-García

Ángel Molina-García, Universidad Politecnica de Cartagena, Spain

Analysis of power system inertia estimation in high wind power plant integration scenarios

This paper analyses the inertia estimation of power systems with a high penetration of wind power plants. It is shown that conventional methods used to estimate the power system inertia present significant discrepancies when wind turbines power plants participate in the frequency control. This estimation error can be addressed by including the virtual inertia provided by the wind frequency control, which is dependent on the level of penetration of wind generation. The paper provides a useful linear approximation of the relation between the value of the virtual inertia and the percentage of wind power generator in the system. The study has been validated through comparison between various inertia estimation methods presented in the literature for levels of wind power generation increasing from 0 to 45%. The study is significant because it points out the need of revising existing criteria for inertia estimation due to the continue growing of renewable power generation. - Pietro Tricoli, Deputy Editor in Chief

Free to read until 7th December 2019

 Qi Yao

Qi Yao, North China Electric Power University, PR China

Active Power Dispatch strategy of wind farm based on improved multi-agent consistency algorithm

This paper presents a new active dispatch strategy for wind farms that assigns the power reference of individual wind turbines according to their characteristics and operating conditions. The active power dispatch is based on a new virtual consistency algorithm that deals with strategies to group together wind turbines. Specifically, the algorithm takes into account if a wind turbine can start up and is in normal operation, and if the wind speed has increased/decreased. The limited number of changes in the value of the reference power for each wind turbine, compared to traditional approaches, improves the dynamic response of the active power dispatch. The study has been validated through extensive simulations and presents a comparison with a traditional variable proportional distribution algorithm, showing the reduced fluctuation of wind turbine power. This study is particularly useful for the improvement of performance of wind farms, where the presence of oscillation of the power reference can significantly reduce the stability of the generation and the maximisation of the power generated. - Pietro Tricoli, Deputy Editor in Chief

Free to read until 23rd November 2019

Sayedeh Zahra Mirbagheri Golroodbari

Sayedeh Zahra Mirbagheri Golroodbari, Utrecht University, The Netherlands

Proof of concept for a novel and smart shade resilient photovoltaic module

This paper presents a new photovoltaic module based on cell groups connected together through micro buck dc-dc converters to improve the power generated by the module under shading conditions. An independent MPPT algorithm is implemented on each micro-converter, thus enabling different cell groups to operate at different voltage levels and reach a different maximum power point. The MPPT algorithm is based on a sweep method that has two functions: to recognise the change in either temperature or irradiation level; and to find the optimum duty cycle for the selected group of cells. A prototype has been built to demonstrate the concept and validate the theoretical analysis. The results have been compared with a conventional panel showing a significant increase of the power generated under partial shading conditions. This study is particularly useful for the improvement of performance of small photovoltaic systems, where the shading of a group of cells can significantly reduce the performance of the power generation. - Pietro Tricoli, Deputy Editor in Chief

Free to read the full gold open access paper

2019 Previous Research Highlights

Smart network control with coordinated PV infeed

Sabrina Hempel, Energynautics GmbH, Germany

Distributed dynamic grid support using smart PV inverters during unbalanced grid faults

Mahfuz A. Shuvra, University of North Carolina at Charlotte, USA

Microgrid operation improvement by adaptive virtual impedance

Mohsen Eskandari, University of Technology Sydney, Australia

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