scholarly journals MARTINE—A Platform for Real-Time Energy Management in Smart Grids

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1820
Author(s):  
Zita Vale ◽  
Pedro Faria ◽  
Omid Abrishambaf ◽  
Luis Gomes ◽  
Tiago Pinto
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Practical Implementation ◽  
Multi Agent Systems ◽  
Management Platform ◽  
Software Models ◽  
Multi Agent ◽  
The Impact

This paper presents MARTINE (Multi-Agent based Real-Time INfrastruture for Energy), a simulation, emulation and energy management platform for the study of problems related to buildings and smart grids. Relevant advances related to buildings and smart grid management and operation have been proposed, focusing either on software models for decision support or on physical infrastructure and control approaches. These two perspectives are, however, complementary, and no practical assessment can be achieved without a suitable interaction and analysis of the impact that decision-making models have on physical resources, and vice-versa. MARTINE overcomes this limitation by integrating, in a single platform: real buildings with the associated devices and resources; emulated components that complement the ones present in the buildings; simulated resources, players and buildings using multi-agent systems, real-time simulation with hardware in the loop capabilities, which enables integrating virtual and physical components; and a knowledge layer that incorporates all the required decision support and energy management models. MARTINE thus provides a comprehensive platform for the study and management of energy resources. The advantages of this platform are demonstrated in this paper through three use cases, related to agriculture irrigation, practical implementation of demand response and load modeling using various network configurations.

scholarly journals Decision Support for Negotiations among Microgrids Using a Multiagent Architecture

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2526 ◽  
Author(s):  
Tiago Pinto ◽  
Mohammad Fotouhi Ghazvini ◽  
Joao Soares ◽  
Ricardo Faia ◽  
Juan Corchado ◽  
...  
Keyword(s):  
Decision Support ◽  
Electricity Market ◽  
Market Model ◽  
Local Market ◽  
Multi Agent Systems ◽  
Market Environment ◽  
Decision Support Model ◽  
Agent Systems ◽  
Multi Agent ◽  
The Impact

This paper presents a decision support model for negotiation portfolio optimization considering the participation of players in local markets (at the microgrid level) and in external markets, namely in regional markets, wholesale negotiations and negotiations of bilateral agreements. A local internal market model for microgrids is defined, and the connection between interconnected microgrids is based on nodal pricing to enable negotiations between nearby microgrids. The market environment considering the local market setting and the interaction between integrated microgrids is modeled using a multi-agent approach. Several multi-agent systems are used to model the electricity market environment, the interaction between small players at a microgrid scale, and to accommodate the decision support features. The integration of the proposed models in this multi-agent society and interaction between these distinct specific multi-agent systems enables modeling the system as a whole and thus testing and validating the impact of the method in the outcomes of the involved players. Results show that considering the several negotiation opportunities as complementary and making use of the most appropriate markets depending on the expected prices at each moment allows players to achieve more profitable results.

778-P: The Impact of Self-Management Blood Glucose (SMBG) Real-Time Decision Support on Glycemic Control in Adult with T1D in China

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 778-P
Author(s):  
ZIYU LIU ◽  
CHAOFAN WANG ◽  
XUEYING ZHENG ◽  
SIHUI LUO ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Decision Support ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Real Time ◽  
Self Management ◽  
The Impact

scholarly journals A Deep Learning Approach to Downscale Geostationary Satellite Imagery for Decision Support in High Impact Wildfires

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 294
Author(s):  
Nicholas F. McCarthy ◽  
Ali Tohidi ◽  
Yawar Aziz ◽  
Matt Dennie ◽  
Mario Miguel Valero ◽  
...  
Keyword(s):  
Deep Learning ◽  
Decision Support ◽  
Real Time ◽  
Forest Fires ◽  
Wildland Fire ◽  
Fire Spread ◽  
Low Earth Orbit ◽  
Practical Implementation ◽  
Spatiotemporal Resolution ◽  
Active Fire

Scarcity in wildland fire progression data as well as considerable uncertainties in forecasts demand improved methods to monitor fire spread in real time. However, there exists at present no scalable solution to acquire consistent information about active forest fires that is both spatially and temporally explicit. To overcome this limitation, we propose a statistical downscaling scheme based on deep learning that leverages multi-source Remote Sensing (RS) data. Our system relies on a U-Net Convolutional Neural Network (CNN) to downscale Geostationary (GEO) satellite multispectral imagery and continuously monitor active fire progression with a spatial resolution similar to Low Earth Orbit (LEO) sensors. In order to achieve this, the model trains on LEO RS products, land use information, vegetation properties, and terrain data. The practical implementation has been optimized to use cloud compute clusters, software containers and multi-step parallel pipelines in order to facilitate real time operational deployment. The performance of the model was validated in five wildfires selected from among the most destructive that occurred in California in 2017 and 2018. These results demonstrate the effectiveness of the proposed methodology in monitoring fire progression with high spatiotemporal resolution, which can be instrumental for decision support during the first hours of wildfires that may quickly become large and dangerous. Additionally, the proposed methodology can be leveraged to collect detailed quantitative data about real-scale wildfire behaviour, thus supporting the development and validation of fire spread models.

Applications of Multi-Agent Systems in Smart Grids: A survey

2014 ◽  
Author(s):  
Ghezlane Halhoul Merabet ◽  
Mohammed Essaaidi ◽  
Hanaa Talei ◽  
Mohamed Riduan Abid ◽  
Nacer Khalil ◽  
...  
Keyword(s):  
Smart Grids ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

A Geometric Approach to Dynamically Feasible, Real-Time Formation Control

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
D. H. A. Maithripala ◽  
D. H. S. Maithripala ◽  
S. Jayasuriya
Keyword(s):  
Real Time ◽  
Wide Class ◽  
Formation Control ◽  
Geometric Approach ◽  
Control Problems ◽  
Multi Agent Systems ◽  
Individual Agent ◽  
Planning Algorithm ◽  
Explicit Consideration ◽  
Multi Agent

We propose a framework for synthesizing real-time trajectories for a wide class of coordinating multi-agent systems. The class of problems considered is characterized by the ability to decompose a given formation objective into an equivalent set of lower dimensional problems. These include the so called radar deception problem and the formation control problems that fall under formation keeping and/or formation reconfiguration tasks. The decomposition makes the approach scalable, computationally economical, and decentralized. Most importantly, the designed trajectories are dynamically feasible, meaning that they maintain the formation while satisfying the nonholonomic and saturation type velocity and acceleration constraints of each individual agent. The main contributions of this paper are (i) explicit consideration of second order dynamics for agents, (ii) explicit consideration of nonholonomic and saturation type velocity and acceleration constraints, (iii) unification of a wide class of formation control problems, and (iv) development of a real-time, distributed, scalable, computationally economical motion planning algorithm.

scholarly journals Methodological Approaches to Regional Socio-Economic System Management

2020 ◽  
Vol 23 (6) ◽  
pp. 148-160
Author(s):  
E. A. Averchenkova
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Economic System ◽  
Support System ◽  
Feedback System ◽  
Management Theory ◽  
Practical Implementation ◽  
System Management ◽  
Management Decisions ◽  
The Impact

Purpose of research. This paper is a description of the methodology for regional socio-economic system management based on the principles and concepts of management theory. Methods. A methodology for regional socio-economic system managing has been developed, taking into account the impact of National projects and the influence of the external environment. The methodology consists of six stages and fourteen techniques that allow describing the regional socio-economic system management in terms and tools of the management theory: the region itself is considered as an object of management experiencing a controlling action formed under some affecting influence. The methodology also assumes the formalization of a negative feedback system and a control system in the developed model of regional socio-economic system management. Results. The methodology of managing the regional socio-economic system can be used in the management process. Those who make management decisions at the regional level usually rely on their own professional skills, past experience, and intuition. However, the heuristic approach to regional management can be extended by the capabilities of the developed methodology, the practical implementation of which can be presented as a decision support system. This will allow regional governments to improve the effectiveness of management decisions based on monitoring the state of socio-economic systems. Conclusion. The methodology for managing the regional socio-economic system provides a complete management cycle: from the formalization of basic concepts to the description of the control and feedback system. The information implementation of the methodology is presented in the form of an automated product – a decision support system - that can be used in the formation of an automated workplace for civil servants. 

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