NDLI: Small signal stability improvement of a microgrid by the optimised dynamic droop control method

Content Provider	IET Digital Library
Author	Unnikrishnan, Binu Krishnan Johnson, Mija Salomi Cheriyan, Elizabeth P.
Abstract	Renewable energy-based energy conversion technologies have become more relevant due to environmental considerations even though they are intermittent in nature. As a result, the concept of microgrid and microgrid control techniques have been evolved as major areas of power system research. Among different inverter control methods, the droop-based control method is more popular in microgrid systems due to its simplicity and non-requirement of expensive communication systems. The transient performance, power-sharing accuracy and decoupling between real and reactive power are improved by modifying the natural droop control method. In this study, the selected microgrid system consists of two inverters operating in parallel, two interconnecting lines and three loads. A state-space model of the microgrid is created based on the small-signal stability and the transient response is improved by introducing virtual impedance and dynamic droop gains. The different controller parameters are optimised using particle swarm optimisation ensuring stability. Eigenvalue analysis is done to analyse stability. The analysis of the response of the system for various disturbances validates the effectiveness of the proposed controller. The strategy developed ensures improved power-sharing capability with high values of natural droop gains without compromising stability by using optimised dynamic droop gains.
Starting Page	822
Ending Page	833
Page Count	12
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 5, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0428
Journal	IET Renewable Power Generation
Publisher Date	2019-07-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analyse Stability Control of Electric Power System Different Controller Parameter Different Inverter Control Method Distributed Power Generation Droop-based Control Method Eigen Values And Eigen Function Ensures Improved Power-sharing Capability Environmental Considerations Expensive Communication System Invertors Microgrid Control Technique Microgrid System Natural Droop Control Method Natural Droop Gain Nonrequirement Optimisation Technique Optimised Dynamic Droop Control Method Optimised Dynamic Droop Gain Optimised Using Particle Swarm Optimisation Ensuring Stability Particle Swarm Optimisation Power Generation Control Power System Control Power System Research Power System Stability Power-sharing Accuracy Reactive Power Renewable Energy-based Energy Conversion Technology Selected Microgrid System Signal Stability Improvement Small-signal Stability Stability Stability in Control Theory State-Space Model Transient Performance Transient Response
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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