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Research Highlights
Pritam Bhowmik, Pravat Kumar Rout, Josep M. Guerrero, Anusandhan University, Bhubaneswar, India, Siksha ‘O’ Anusandhan University, India and Aalborg University, Denmark
A novel filter-less power allocation and regulation scheme with the prototypic implementation
(Access the article for free until 14th January 2021.)
This paper explores the stability of DC microgrids using a new selected power component droop controller. The main characteristic of the proposed control is the usage of a pseudo-power decomposition technique that uses a droop relation based on the integral of the power for energy storage with high power density, like supercapacitors, and the power itself for energy storage with high energy density, like batteries. It has been shown that the proposed control is effective for dynamic load changes and does not suffer instability problems of conventional linear droop controller. The effectiveness of the control has been validated by both simulations and experiments on a lab-scale microgrid with a number of DC motors to simulate the load dynamic. The main impact of the study is the simplification of the control of energy storage for DC microgrids that enables an optimal share of power for both steady-state and high dynamic conditions. - Pietro Tricoli, Deputy Editor-in-Chief
Deepak Pullaguram, Rubi Rana, Sukumar Mishra, Nilanjan Senroy, National Institute of Technology Warangal and Indian Institute of Technology Delhi
Fully distributed hierarchical control strategy for multi-inverter-based AC microgrids
This paper explores a decentralised secondary control for AC microgrids that also ensure optimal economic dispatch. The main characteristic of the proposed control is to add a tertiary control for the distributed generators to operate in synergy with the droop controller and achieve frequency restoration. Also, the voltage profile of the microgrid is kept around the nominal value using an average voltage restoration control loop. It has been shown that the proposed control is robust against faults and delays on the communication system between the components of the microgrid. The effectiveness of the control has been validated by both simulations and experiments on lab-scale ac microgrid with 3 inverters. The main impact of the study is that by increasing the level of decentralisation of control, it is possible to improve the operation of distributed generators and then reduce operational costs and power losses. - Pietro Tricoli, Deputy Editor-in-Chief
Previous 2020 Research Highlights
Wind turbine power coefficient models based on neural networks and polynomial fitting Research - September 2020
PV power intra-day predictions using PDE models of polynomial networks based on operational calculus - July 2020
Fault detection and location in medium-voltage DC microgrids using travelling-wave reflections - June 2020
Click to meet some of our authors in the 2019 IET Renewable Power Generation newsletter
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