scholarly journals Agent-Based Coordinated Control of Power Electronic Converters in a Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1031
Author(s):  
Maryam Nasri ◽  
Herbert L. Ginn ◽  
Mehrdad Moallem
Keyword(s):  
Hash Table ◽  
Power Sharing ◽  
Distributed Hash Table ◽  
Power Electronic ◽  
Power Electronic Converters ◽  
Agent Based ◽  
Development Framework ◽  
Study Results ◽  
Set Up ◽  
Microgrid Control

This paper presents the implementation of an agent-based architecture suitable for the coordination of power electronic converters in stand-alone microgrids. To this end, a publish-subscribe agent architecture was utilized as a distributed microgrid control platform. Over a distributed hash table (DHT) searching overlay, the publish-subscribe architecture was identified based on a numerical analysis as a scalable agent-based technology for the distributed real-time coordination of power converters in microgrids. The developed framework was set up to deploy power-sharing distributed optimization algorithms while keeping a deterministic time period of a few tens of milliseconds for a system with tens of converters and when multiple events might happen concurrently. Several agents participate in supervisory control to regulate optimum power-sharing for the converters. To test the design, a notional shipboard system, including several converters, was used as a case study. Results of implementing the agent-based publish-subscribe control system using the Java Agent Development Framework (JADE) are presented.

Rapid Relevance Feedback Strategy Based on Distributed CBIR System

2018 ◽  
Vol 14 (2) ◽  
pp. 1-26
Author(s):  
Jianxin Liao ◽  
baoran li ◽  
Jingyu Wang ◽  
Qi Qi ◽  
Tonghong Li
Keyword(s):  
Image Retrieval ◽  
Data Storage ◽  
Hash Table ◽  
Recall Rate ◽  
Distributed Hash Table ◽  
Online Data ◽  
Retrieval Systems ◽  
Efficiency Performance ◽  
Image Retrieval System ◽  
Set Up

This article describes the capability of online data storage which has been enhanced by the emergence of cloud datacenter development. Distributed Hash Table (DHT) based image retrieval system using locality sensitive hash (LSH) has provided an efficient way to set up distributed Content Based Image Retrieval (CBIR) frameworks. However, with the fixed LSH function adopted, LSH and other codebook-based distributed retrieval systems are facing the problem of flexibility, and also are difficult to satisfy the user's demand. In this article, LRFMIR is proposed to introduce semantic search into DHT based CBIR system. LRFMIR is established on a DHT based network, where a flexible result truncating strategy is employed to fuse provided results by using multiple features measurements. Experiments show that LRFMIR provides a higher accuracy and recall rate than single feature employed retrieval systems, and possesses good load balancing and query efficiency performance.

scholarly journals An MPC Approach for Grid-Forming Inverters: Theory and Experiment

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2270 ◽  
Author(s):  
Alessandro Labella ◽  
Filip Filipovic ◽  
Milutin Petronijevic ◽  
Andrea Bonfiglio ◽  
Renato Procopio
Keyword(s):  
Operation Mode ◽  
Inequality Constraints ◽  
Problem Formulation ◽  
Management Control ◽  
Power Electronic ◽  
Power Electronic Converters ◽  
Correct Operation ◽  
Equality And Inequality Constraints ◽  
Local Measurements ◽  
Set Up

Microgrids (MGs) interest is growing very fast due to the environment urgency and their capability to integrate renewable energy in a flexible way. In particular, islanded MGs in which distributed energy resources (DERs) are connected to the infrastructure with power electronic converters have attracted the interest of many researchers of both academia and industry because management, control and protection of such systems is quite different from the case of traditional networks. According to their operation mode, MGs that power electronic converters can be divided into grid-forming, grid-feeding and grid-supporting inverters. In particular, grid forming inverters are asked to impose voltage and frequency in the MG. This paper aims to propose a model predictive control (MPC) based approach for grid-forming inverters in an islanded MG. The MPC strategy is implemented because of its capability to define the optimal control actions that contemporarily track the desired reference signals and accounts for equality and inequality constraints. The overall problem formulation (objective function and relevant constraints) is described step by step and considers the specificity of the considered DC source. The proposed approach allows for the obtaining of very good results in terms of readiness against disturbances, even if it requires being fed only by local measurements. In order to validate the developed method, this paper proposes an experimental validation of the designed MPC controller in order to show its correct operation on a real system in a power hardware in the loop set-up using a rapid control prototyping approach.

Improved Blockchain Commodity Traceability System Using Distributed Hash Table

2020 ◽  
Author(s):  
Wu Junhui ◽  
Wu Tuolei ◽  
Wu Yusheng ◽  
Chen Jie ◽  
Lin Kaiyan ◽  
...  
Keyword(s):  
Hash Table ◽  
Distributed Hash Table ◽  
Traceability System

scholarly journals Preferences for Updates on General Research Results: A Survey of Participants in Genomic Research from Two Institutions

2021 ◽  
Vol 11 (5) ◽  
pp. 399
Author(s):  
Casey Overby Taylor ◽  
Natalie Flaks Manov ◽  
Katherine D. Crew ◽  
Chunhua Weng ◽  
John J. Connolly ◽  
...  
Keyword(s):  
Research Result ◽  
Hierarchical Cluster ◽  
Genomic Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Four Dimensions ◽  
Research Participants ◽  
Research Activities ◽  
Study Results ◽  
Set Up

There is a need for multimodal strategies to keep research participants informed about study results. Our aim was to characterize preferences of genomic research participants from two institutions along four dimensions of general research result updates: content, timing, mechanism, and frequency. Methods: We conducted a web-based cross-sectional survey that was administered from 25 June 2018 to 5 December 2018. Results: 397 participants completed the survey, most of whom (96%) expressed a desire to receive research updates. Preferences with high endorsement included: update content (brief descriptions of major findings, descriptions of purpose and goals, and educational material); update timing (when the research is completed, when findings are reviewed, when findings are published, and when the study status changes); update mechanism (email with updates, and email newsletter); and update frequency (every three months). Hierarchical cluster analyses based on the four update preferences identified four profiles of participants with similar preference patterns. Very few participants in the largest profile were comfortable with budgeting less money for research activities so that researchers have money to set up services to send research result updates to study participants. Conclusion: Future studies may benefit from exploring preferences for research result updates, as we have in our study. In addition, this work provides evidence of a need for funders to incentivize researchers to communicate results to participants.

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