Design and Early Simulations of Next Generation Intelligent Energy Systems

2014 ◽  
Vol 2 (2) ◽  
pp. 58-82 ◽  
Author(s):  
Rafik Fainti ◽  
Antonia Nasiakou ◽  
Eleftherios Tsoukalas ◽  
Manolis Vavalis
Keyword(s):  
Large Scale ◽  
Real Life ◽  
Electric Energy ◽  
Energy Systems ◽  
Energy Markets ◽  
Next Generation ◽  
The Social ◽  
Expected Outcome ◽  
Early Proof ◽  
Large Scale Simulations

The aim of this paper is twofold. Firstly, to briefly present the overall objectives and the expected outcome of an on-going effort concerning the design the implementation and the analysis of next generation intelligent energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the preliminary experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale energy e-markets. Based on an existing simulation system we present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations that cover real life scenarios and stress most components and modules of next generation smart energy markets. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics of our platform are presented.

Intelligent Bidding in Smart Electricity Markets

2017 ◽  
pp. 712-734
Author(s):  
Magda Foti ◽  
Manolis Vavalis
Keyword(s):  
Electricity Markets ◽  
Large Scale ◽  
Electric Energy ◽  
Energy Markets ◽  
Simulation System ◽  
Theoretical Studies ◽  
The Social ◽  
Early Proof ◽  
Simulation Results ◽  
Large Scale Simulations

This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale e-markets. Based on an existing simulation system, the authors present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics are presented.

Intelligent Bidding in Smart Electricity Markets

2015 ◽  
Vol 3 (3) ◽  
pp. 68-90 ◽  
Author(s):  
Magda Foti ◽  
Manolis Vavalis
Keyword(s):  
Electricity Markets ◽  
Large Scale ◽  
Optimization Problem ◽  
Electric Energy ◽  
Proof Of Concept ◽  
Anticipatory Control ◽  
The Social ◽  
Expected Outcome ◽  
Early Proof ◽  
Large Scale Simulations

This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale e-markets. Based on an existing simulation system, the authors present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics are presented.

Digital Energy

2010 ◽  
pp. 2263-2279 ◽  
Author(s):  
Mikhail Simonov ◽  
Marco Mussetta ◽  
Riccardo Zich
Keyword(s):  
Distributed Generation ◽  
Energy Use ◽  
Local Community ◽  
Real Life ◽  
Electric Energy ◽  
The Novel ◽  
Or Groups ◽  
The Social ◽  
Novel Method ◽  
Micro Grids

Since energy use is a type of consumer behavior reflecting the interests to maximize some objective function, the human being activities seen in energy terms might be used to create the social aggregations or groups. Electric energy generated from ecologic sources brings some unpredictability. Authors model the unpredictability of the distributed generation in order to create a tool for minimization. Authors propose the novel method to build real life smart micro grids in the distributed generation context characterized by zero emissions. The proposed tool becomes an instrument to create the social aggregation of users and negotiate locally the “social” energy in real time, strengthening and mastering a virtual neighborhood of the local community.

scholarly journals A novel simulation framework for crowd co-decisions

2020 ◽  
Vol 4 (1) ◽  
pp. 2-16
Author(s):  
Xia Yao ◽  
Hongbo Sun ◽  
Baode Fan
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Rapid Development ◽  
Content Type ◽  
Voting Rule ◽  
The Social ◽  
Crowd Intelligence ◽  
Large Scale Simulations ◽  
Public Decision ◽  
Public Decision Making

Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.

An implementation of the Social Distances Model using multi-GPU systems

2016 ◽  
Vol 32 (4) ◽  
pp. 482-495 ◽  
Author(s):  
Adrian Kłusek ◽  
Paweł Topa ◽  
Jarosław Wąs ◽  
Robert Lubaś
Keyword(s):  
Cellular Automata ◽  
Large Scale ◽  
Model Calculations ◽  
Pedestrian Dynamics ◽  
Pedestrian Evacuation ◽  
Transition Functions ◽  
The Social ◽  
Distance Model ◽  
Classic Approach ◽  
Large Scale Simulations

We propose a new approach for using GPUs in large scale simulations of pedestrian evacuation. The Social Distances Model is designed for efficient modeling of pedestrian dynamics. This cellular automata based model, when implemented on the most modern GPUs, can simulate up to 106–108 entities. However, a valuable simulation of pedestrian evacuation must include various factors that govern pedestrian movement, for example, information provided by event organizers and navigation or allocation of other pedestrians. The most common method for introducing such information into simulations is the application of different floor fields. The floor fields provide “local knowledge” that affects pedestrians by modifying the transition functions of an applied cellular automaton. The main disadvantage of this method is its time consuming updating process. We propose a GPU based calculation of static and dynamic floor fields, whereby simulations that use several different floor fields can be efficiently calculated. A single GPU is able to cope with the Social Distance Model calculations, while other GPUs update dynamic floor fields constantly or when required. We also present the classic approach to performing cellular automata based simulations on systems with multiple processing units. The lattice is simply partitioned between the available GPUs. We compare these two approaches in terms of performance and functionality.

Unified Modeling for Emulating Electric Energy Systems

2021 ◽  
pp. 179-207
Author(s):  
Marija Ilic ◽  
Rupamathi Jaddivada ◽  
Assefaw Gebremedhin
Keyword(s):  
Information Exchange ◽  
Large Scale ◽  
Electric Energy ◽  
Energy Systems ◽  
Direct Result ◽  
Great Promise ◽  
System Response ◽  
Dynamic Interactions ◽  
Unified Modeling ◽  
Interaction Variables

Large-scale computing, including machine learning (MI) and AI, offer a great promise in enabling sustainability and resiliency of electric energy systems. At present, however, there is no standardized framework for systematic modeling and simulation of system response over time to different continuous- and discrete-time events and/or changes in equipment status. As a result, there is generally a poor understanding of the effects of candidate technologies on the quality and cost of electric energy services. In this chapter, the authors discuss a unified, physically intuitive multi-layered modeling of system components and their mutual dynamic interactions. The fundamental concept underlying this modeling is the notion of interaction variables whose definition directly lends itself to capturing modular structure needed to manage complexity. As a direct result, the same modeling approach defines an information exchange structure between different system layers, and hence can be used to establish structure for the design of a dedicated computational architecture, including AI methods.

Standardized evaluation of multi-level grid control strategies for future converter-dominated electric energy systems

2019 ◽  
Vol 67 (11) ◽  
pp. 936-957 ◽  
Author(s):  
Marcel Sarstedt ◽  
Marc Dokus ◽  
Johannes Gerster ◽  
Niklas Himker ◽  
Lutz Hofmann ◽  
...  
Keyword(s):  
Large Scale ◽  
Control Strategies ◽  
Electric Energy ◽  
Energy Systems ◽  
Simulation Environment ◽  
Reliable Operation ◽  
Multi Level ◽  
Comparison Criteria ◽  
The Stability ◽  
Design Options

Abstract This paper proposes a standardized simulation environment to evaluate current and to design future multi-level grid control strategies in terms of a safe and reliable operation in future converter-dominated grids. For this, the first step is to develop a taxonomy for the uniform description of multi-level grid control strategies, to define relevant design options and to derive the relevant evaluation and comparison criteria. Furthermore, aspects of new ICT-methods (e. g., machine learning decoders for aggregated flexibility description) are presented, which can help to tap the decentral flexibility potentials in future grid control strategies. Lastly, the major converter-related aspects are investigated. In particular, the stability of converter clusters in large-scale energy systems is analysed and new monitoring possibilities utilizing converter systems will be introduced.

Communication and Intergroup Relations

2018 ◽  
Author(s):  
Jake Harwood
Keyword(s):  
Intergroup Relations ◽  
Large Scale ◽  
Social Groups ◽  
Real Life ◽  
Intergroup Communication ◽  
Media Messages ◽  
Perceptions And Attitudes ◽  
The Social ◽  
Message Exchange ◽  
Group Memberships

The subfield of communication and intergroup relations attempts to disentangle the ways in which human message exchange is influenced by, and itself affects, relations between social groups. Typically, the social groups considered are large scale groups (e.g., national, religious, ethnic groups), but similar processes can also be applied to smaller groups such as families or work groups. Specifically, the field of communication and intergroup relations considers how social interaction is changed when the interlocutors belong to (or perceive themselves as belonging to) specific social groups, and how everyday talk about groups changes perceptions and attitudes concerning those groups. The subfield also considers how broader societal messages relate to group memberships. For instance, how do media messages reflect the macrosocial position of particular groups, and do media messages influence how consumers think about group memberships and intergroup relations? Underpinning all study of intergroup communication is the belief that intergroup relations are forged, perpetuated, and modified in real-life everyday social communication.

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