Monitoring and Control of Renewable Energy Sources using Synchronized Phasor Measurements

Vanfretti, Luigi; Baudette, Maxime; White, Austin

doi:10.1016/b978-0-12-407910-6.00033-8

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…The developed monitoring tool was validated by using real-measurements from Oklahoma and Electric (OG&E) [17] through hardware-in-the-loop real-time simulation testing in KTH SmarTS-Lab [18] and hardware-based emulation at IREC's microgrid laboratory [19]. In addition, the application's functionality was appraised against OG&Es own in-house software in [20].…”

Section: Impactmentioning

confidence: 99%

BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation

2017

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BabelFish (BF) is a real-time data mediator for development and fast prototyping of synchrophasor applications. BF is compliant with the synchrophasor data transmission IEEE Std C37.118.2-2011. BF establishes a TCP/IP connection with any Phasor Measurement Unit (PMU) or Phasor Data Concentrator (PDC) stream and parses the IEEE Std C37.118.2-2011 frames in real-time to provide access to raw numerical data in the LabVIEW environment. Furthermore, BF allows the user to select ‘‘data-of-interest’’and transmit it to either a local or remote application using the User Datagram Protocol (UDP) in order to support both unicast and multicast communication. In the power systems Wide Area Monitoring Protection and Control (WAMPAC) domain, BF provides the first Free/Libre and Open Source Software (FLOSS) for the purpose of giving the users tools for fast prototyping of new applications processing PMU measurements in their chosen environment, thus liberating them of time consuming synchrophasor data handling and allowing them to develop applications in a modular fashion, without a need of a large and monolithic synchrophasor software environment.

QC 20170925

KIC InnoEnergy Smart Power: WP 2.6Nordic Energy Research: Strongri

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Section: Impactmentioning

confidence: 99%

BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation

2017

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QC 20170925

KIC InnoEnergy Smart Power: WP 2.6Nordic Energy Research: Strongri

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“…Considering the specific requirements related to renewable energy production, storage, and distribution, research efforts in recent years have focuses on more advanced solutions able to facilitate renewable energy management and decisionmaking for independent or connected to public supply networks. Research has been carried out on renewable energy monitoring [12]; interoperability issues [8]; algorithms for fast oscillation detection [13]; environmental monitoring [14], linear and non-linear optimization algorithms used in renewable energy sources [15]; production of scientific knowledge on renewable energy [16]. Research addressing decision-making concerned energy availability for consumers, safety power supplying; reducing costs and maximizing generation [17].…”

Section: State-of-the-artmentioning

confidence: 99%

Cloud-Based Decision Support Ecosystem for Renewable Energy Providers

Stănescu¹,

Ștefan²,

Filip

2015

IFIP Advances in Information and Communication Technology

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The increasing complexity of decision making environments requires new approaches that can improve the efficiency, the effectiveness and the quality of the decision making processes. Cloud-based Decision Support Ecosystems (DSE) create the premises for the next generation of DSS, by modeling dynamic system architectures and customizable decision layers that instantiate a new level of independence at end-user level. End-users are able to connect new data sources to the decision making processes without assistance from software developers, while maintain consistency, to build more relevant decision environments. The authors discuss key challenges associated with the DSE and present the design premises of a cloud-based DSE for renewable energy providers. The paper builds upon the PhD research carried out within the INDESEN Project, funded by Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetării, Dezvoltării si Inovarii (UEFISCDI) through the Romanian Partnership Program.

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“…The greatest advantage of the synchronized phasors is that, it provides high resolution time-tagged voltage and current phasors. Thus, continuous availability of the measurements from the different locations may be exploited for control of the renewable generation [6]. The main purpose of this paper is to explore the challenges and limitations of utilizing synchrophasor measurements, in real-time, for internal parameter estimation of a DFIG system.…”

Section: Introductionmentioning

confidence: 99%

Challenges of real-time parameter estimation of a DFIG using synchrophasors

Malik

Almas

Vanfretti

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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Abstract-This paper explores the challenges faced during the utilization of synchrophasors received from PMUs in order to estimate the parameters of a DFIG in a real-time. PMUs are installed at the stator and rotor terminals of an 11-KVA DFIG, in order to provide high resolution synchrophasor data at a reporting rate of 50 msgs/sec. These synchrophasors are processed in real-time using an embedded controller in order to measure and estimate the internal parameters of the generator, i.e., magnetization and leakage inductances. Closed-loop variable speed drive, active power and reactive power controls are implemented for the DFIG. This paper discusses the laboratory setup, control and parameter estimation experiments carried out on the DFIG. The testing process, challenges faced, and overall experimental findings are also presented.

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Monitoring and Control of Renewable Energy Sources using Synchronized Phasor Measurements

Cited by 4 publications

References 9 publications

BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation

BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation

Cloud-Based Decision Support Ecosystem for Renewable Energy Providers

Challenges of real-time parameter estimation of a DFIG using synchrophasors

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