NDLI: Information geometry for model identification and parameter estimation in renewable energy

Content Provider	IET Digital Library
Author	Sarić, Andrija T. Transtrum, Mark K. Stanković, Aleksandar M.
Abstract	This study describes a new class of system identification procedures, tailored to electric power systems with renewable resources. The procedure described here builds on computational advances in differential geometry, and offers a new, global, and intrinsic characterisation of challenges in data-derived identification of electric power systems. The approach benefits from increased availability of high-quality measurements. The procedure is illustrated on the multi-machine benchmark example of IEEE 14-bus system with renewable resources, but it is equally applicable to identification of other components and systems (e.g. dynamic loads). The authors consider doubly-fed induction generators (DFIG) operating in a wind farm with system level proportional–integral controllers.
Starting Page	1294
Ending Page	1302
Page Count	9
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 6, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0606
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-10-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Asynchronous Generator Asynchronous Machine Control of Electric Power System Data-derived Identification DFIG Plant Differential Geometry Doubly Fed Induction Generator Electric Power System High-quality Measurement IEEE 14-bus Test System Information Geometry Intrinsic Characterisation Machine Control Model Identification Multimachine Benchmark Example Parameter Estimation PI Control Power Generation Control Renewable Energy System Level Proportional–integral Controllers Wind Farm Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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Multi-machine equivalent model parameter identification method for double-fed induction generator (DFIG)-based wind power plant based on measurement data

State-space representation of DFIG-based wind power plants

Bacteria foraging optimisation algorithm based optimal control for doubly-fed induction generator wind energy system

Analytical evaluation of control strategies for participation of doubly fed induction generator-based wind farms in power system short-term frequency regulation

Optimal robust first-order frequency controller design for DFIG-based wind farm utilising 16-plant theorem

Reactive power control of DFIG wind turbines for power oscillation damping under a wide range of operating conditions

Using adaptive control in DFIG-based wind turbines to improve the subsynchronous oscillations of nearby synchronous generators

Bandwidth oriented proportional-integral controller design for back-to-back power converters in DFIG wind turbine system

Multi-DFIG aggregated model based SSR analysis considering wind spatial distribution

Information geometry for model identification and parameter estimation in renewable energy – DFIG plant case

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