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

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.

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A new multi-level algorithm for balanced partition problem on large scale directed graphs

Advances in Aerodynamics ◽

10.1186/s42774-021-00074-x ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

Xianyue Li ◽

Yufei Pang ◽

Chenxia Zhao ◽

Yang Liu ◽

Qingzhen Dong

Keyword(s):

Large Scale ◽

Directed Graphs ◽

Vlsi Design ◽

Graph Partition ◽

Partition Problem ◽

Multi Level ◽

The Stability ◽

Recursive Partition ◽

Balanced Partition ◽

Partition Method

AbstractGraph partition is a classical combinatorial optimization and graph theory problem, and it has a lot of applications, such as scientific computing, VLSI design and clustering etc. In this paper, we study the partition problem on large scale directed graphs under a new objective function, a new instance of graph partition problem. We firstly propose the modeling of this problem, then design an algorithm based on multi-level strategy and recursive partition method, and finally do a lot of simulation experiments. The experimental results verify the stability of our algorithm and show that our algorithm has the same good performance as METIS. In addition, our algorithm is better than METIS on unbalanced ratio.

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PREVENTING THE SPREAD OF SCHISTOSOMIASIS IN GHANA: POSSIBLE OUTCOMES OF INTEGRATED OPTIMAL CONTROL STRATEGIES

Journal of Biological System ◽

10.1142/s0218339017400058 ◽

2017 ◽

Vol 25 (04) ◽

pp. 625-655 ◽

Cited By ~ 4

Author(s):

HONG ZHANG ◽

PRINCE HARVIM ◽

PAUL GEORGESCU

Keyword(s):

Optimal Control ◽

Large Scale ◽

Control Strategies ◽

Endemic Equilibrium ◽

Control Measures ◽

Dimensional System ◽

Vector Population ◽

Sanitation And Hygiene ◽

The Stability ◽

Manifold Theory

The goal of a future free from schistosomiasis in Ghana can be achieved through integrated strategies, targeting simultaneously several stages of the life cycle of the schistosome parasite. In this paper, the transmission of schistosomiasis is modeled as a multi-scale 12-dimensional system of ODEs that includes vector-host and within-host dynamics of infection. An explicit expression for the basic reproduction number [Formula: see text] is obtained via the next generation method, this expression being interpreted in biological terms, as well as in terms of reproductive numbers for each type of interaction involved. After discussing the stability of the disease-free equilibrium and the existence and uniqueness of the endemic equilibrium, the Center Manifold Theory is used to show that for values of [Formula: see text] larger than 1, but close to 1, the unique endemic equilibrium is locally asymptotically stable. A sensitivity analysis indicates that [Formula: see text] is most sensitive to the natural death rate of the vector population, while numerical simulations of optimal control strategies reveal that the most effective strategy for the control and possible elimination of schistosomiasis should combine sanitary measures (access to safe water, improved sanitation and hygiene education), large-scale treatment of infected population and vector control measures (via the use of molluscicides), for a significant amount of time.

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Design and Early Simulations of Next Generation Intelligent Energy Systems

International Journal of Monitoring and Surveillance Technologies Research ◽

10.4018/ijmstr.2014040104 ◽

2014 ◽

Vol 2 (2) ◽

pp. 58-82 ◽

Cited By ~ 18

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.

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Unified Modeling for Emulating Electric Energy Systems

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Handbook of Research on Methodologies and Applications of Supercomputing ◽

10.4018/978-1-7998-7156-9.ch013 ◽

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.

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Interactions and Stability of Cu on CoSi2

MRS Proceedings ◽

10.1557/proc-260-151 ◽

1992 ◽

Vol 260 ◽

Cited By ~ 3

Author(s):

Y. -T. Shy ◽

S. P. Murarka ◽

A. R. Sitaram ◽

P.-J. Ding ◽

W. A. Lanford

Keyword(s):

Large Scale ◽

Schottky Diodes ◽

Electrical Characteristics ◽

X Ray Diffraction ◽

Rutherford Back Scattering ◽

Back Scattering ◽

Large Scale Integration ◽

Multi Level ◽

The Stability ◽

Scale Integration

ABSTRACTCopper is being investigated for application as multi-level interconnection metal in silicon ultra-large-scale integration (ULSI). On the other hand, COSi2 is being tested for application as contacts in sub-half micron ULSI circuits. Copper will thus be used on COSi2 to bring the electrical connection to the outside world. In this investigation we have therefore studied the interactions of copper with CoSi2 employing sheet resistance measurements (four-point probe), Rutherford back scattering (RBS), and X-ray diffraction (XRD). In addition the stability of the Schottky diodes, n-Si/CoS2/Cu, has been investigated as a function of the heat treatment in the range of room temperature to 600° C in argon-3% hydrogen mixture gas ambient. Both the measurements of the analytical and electrical characteristics show that Cu on n-Si/CoSi2 is stable at least up to a 30 minutes anneal at 600°C in argon-3% hydrogen medium. These results will be presented and discussed.

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A New Multi-level Algorithms for Balanced Partition Problem on Large Scale Directed Graphs

10.21203/rs.3.rs-359089/v1 ◽

2021 ◽

Author(s):

Xianyue Li ◽

Yufei Pang ◽

Chenxia Zhao ◽

Yang Liu ◽

Qingzhen Dong

Keyword(s):

Large Scale ◽

Directed Graphs ◽

Vlsi Design ◽

Graph Partition ◽

Partition Problem ◽

Multi Level ◽

The Stability ◽

Recursive Partition ◽

Balanced Partition ◽

Partition Method

Abstract Graph partition is a classical combinatorial optimization and graph theory problem, and it has a lot of applications, such as scientific computing, VLSI design and clustering etc. In this paper, we study the partition problem on large scale directed graphs under a new objective function, a new case of graph partition problem. We firstly propose the modeling of this problem, then design an algorithm based on multi-level strategy and recursive partition method, and finally do a lot of simulation experiments. The experimental results verify the stability of our algorithm and show that our algorithm has the same good performance as METIS. In addition, our algorithm is better than METIS on unbalanced ratio.

Download Full-text