scispace - formally typeset
Open AccessJournal ArticleDOI

Provision for Guaranteed Inertial Response in Diesel-Wind Systems via Model Reference Control

TLDR
In this paper, a model reference control based inertia emulation strategy is proposed for diesel-wind systems, where a typical frequency response model with parametric inertia is set to be the reference model.
Abstract
Frequency performance has been a crucial issue for islanded microgrids. On the one hand, most distributed energy resources are converter-interfaced and do not inherently respond to frequency variations. On the other hand, current inertia emulation approach cannot provide guaranteed response. In this paper, a model reference control based inertia emulation strategy is proposed for diesel-wind systems. Desired inertia can be precisely emulated through the proposed strategy. A typical frequency response model with parametric inertia is set to be the reference model. A measurement at a specific location delivers the information about the disturbance acting on the diesel-wind system to the reference model. The objective is for the speed of the diesel generator to track the reference so that the desired inertial response is realized. In addition, polytopic parameter uncertainty will be considered. The control strategy is configured in different ways according to different operating points. The parameters of the reference model are scheduled to ensure adequate frequency response under a predefined worst case. The controller is implemented in a nonlinear three-phase diesel-wind system fed microgrid using the Simulink software platform. The results show that exact synthetic inertia can be emulated and adequate frequency response is achieved.

read more

Citations
More filters
Journal ArticleDOI

An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation

TL;DR: In this article, a novel adaptive PV frequency control strategy is proposed to reserve the minimum power required for grid frequency support for PV inverters, where a machine learning model is trained to predict system frequency response under varying system conditions, and an adaptive allocation of PV headroom reserves is made based on the machine learning models as well as real-time system conditions including inertia.
Journal ArticleDOI

Primary frequency control of a microgrid with integrated dynamic sectional droop and fuzzy based pitch angle control

TL;DR: Simulation results demonstrate that the proposed sectional droop control provides superior performance than conventional fixed-gain method and achieves optimum frequency regulation at the rated wind speed and even for a wind speed lower than the ratedWind speed.
Journal ArticleDOI

A Microgrid Based on Wind-Driven DFIG, DG, and Solar PV Array for Optimal Fuel Consumption

TL;DR: In this paper, the authors presented a green energy solution to a microgrid for a location dependent on a diesel generator (DG) to meet its electricity requirement, which is powered by two renewable energy sources, namely wind energy using doubly fed induction generator (DFIG) and solar photovoltaic (PV) array.
Journal ArticleDOI

Approximating Trajectory Constraints With Machine Learning – Microgrid Islanding With Frequency Constraints

TL;DR: A deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem by using a neural network to approximate the nonlinear function between system operating condition and frequency nadir.
Journal ArticleDOI

Set Theory-Based Safety Supervisory Control for Wind Turbines to Ensure Adequate Frequency Response

TL;DR: In this article, a safety supervisory control (SSC) is proposed to synthesize the supportive modes in wind turbine generators (WTGs) to guarantee performance, where the concept of region of safety (ROS) is stated for safe switching synthesis.
References
More filters
Journal ArticleDOI

Network reconfiguration in distribution systems for loss reduction and load balancing

TL;DR: Accuracy analysis and the test results show that estimation methods can be used in searches to reconfigure a given system even if the system is not well compensated and reconfiguring involves load transfer between different substations.
Journal ArticleDOI

Trends in Microgrid Control

TL;DR: The major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems).
Journal ArticleDOI

Wind turbines emulating inertia and supporting primary frequency control

TL;DR: In this article, a method is proposed to let variable-speed wind turbines emulate inertia and support primary frequency control, where the required power is obtained from the kinetic energy stored in the rotating mass of the turbine blades.
Journal ArticleDOI

General model for representing variable speed wind turbines in power system dynamics simulations

TL;DR: In this paper, a model that can be used to represent all types of variable speed wind turbines in power system dynamics simulations is presented, and some results obtained after incorporation of the model in PSS/E, a widely used power system simulation software package, are presented and compared with measurements.
Book

Doubly Fed Induction Machine : Modeling and Control for Wind Energy Generation

TL;DR: Modeling, simulation and control of a doubly-fed induction machine controlled by a back-to-back converter for Doubly-Fed Induction Generators and Three-Phase Power Converters.
Related Papers (5)