An approach for DEVS based modeling of electrical power systems

Toba, Ange-Lionel; Seck, Mamadou; Amissah, Matthew; Bouazzaoui, Sarah

doi:10.1109/wsc.2017.8247848

Cited by 4 publications

(4 citation statements)

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“…Hierarchy suggests a multi-layer structure of the system, depicting the different levels at which the system operations are implemented (Huang et al, 2012). • Type of demand: residential, commercial, industrial • Zone: name of the zone it belongs to objectives: request power Agent: unit commitment model attributes: Name Objectives: commit power generators Grid component: Grid Source: Toba et al (2017) Generating units, transmission lines, loads, dispatchers, UC and storage agents are modeled as atomic DEVS models, while zone and interzone agents are modelled as coupled DEVS models. Coupled DEVS models specify the relationships between atomic DEVS models and describe the structure of the overall system.…”

Section: Model Formalismmentioning

confidence: 99%

Spark!: an integrated resource planning and dispatch tool for power grid modelling

Toba

Seck

2019

IJSSE

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The power grid infrastructure faces multiple challenges due to, not only the growing demands, but also the widespread deployment of renewable generation. The increasing level of renewable penetration in the energy mix requires to rethink the way the grid works, operates, and also how it is structured. This makes energy planning more critical as it will necessarily have to account for the effects of intermittence and variability of these sources, and the dynamic behaviour of the overall system. Power grid models can play an important role in performing that task. What is needed, is a new, faster computational model that can simulate large-scale grid operations, while capturing generating units' constraints, system flexibility and architecture. We present Spark!, a grid simulation model, for large scale future power grids over long term horizons. The model developed in Python, and built on a DEVS (Discrete Event System Specification) platform, captures the intermittent and stochastic nature of renewable energy resources and their associated forecast error, the thermal constraints of conventional generation resources, geographical and climate information, the transmission network, with a flexible time resolution.

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Section: Model Formalismmentioning

confidence: 99%

Spark!: an integrated resource planning and dispatch tool for power grid modelling

Toba

Seck

2019

IJSSE

Self Cite

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“…Information about a detailed representation of power grids by DEVS models can be found in e.g. [55,65,66,85]. Here, the power grid is represented as network (V, E) with nodes V and edges E between the nodes.…”

Section: Model Structurementioning

confidence: 99%

Formalized Risk Assessment for Safety and Security

Draeger¹,

Hahndel²

2017

Preprint

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The manifold interactions between safety and security aspects makes it plausible to handle safety and security risks in an unified way. The paper develops a corresponding approach based on the discrete event systems (DEVS) paradigm. The simulation-based calculation of an individual system evolution path provides the contribution of this special path of dynamics to the overall risk of running the system. Accidentally and intentionally caused failures are distinguished by the way, in which the risk contributions of the various evolution paths are aggregated to the overall risk.The consistency of the proposed risk assessment method with 'traditional' notions of risk shows its plausibility. Its non-computability, on the other hand, makes the proposed risk assessment better suitable to the IT security domain than other concepts of risk developed for both safety and security. Power grids are discussed as an application example and demonstrates some of the advantages of the proposed method.

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“…It has been used for representing electric systems before. In (Toba et al, 2017), a DEVS framework is presented for modeling electric power systems. The hierarchical and modular construction properties enable the modeling of each component individually.…”

Section: Introductionmentioning

confidence: 99%

Improving the optimization of electric power systems through a discrete event based simulation model

Blas

Alvarez²,

Sarli³

2023

JART

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This paper presents a novel hybrid approach for studying electric power systems as a combination of the electrical power generation process and the actual state of the transmission lines. The approach is composed of a discrete-event simulation model and a mathematical programming model. The simulation model is designed as a routing problem defined over a set of transmission lines considered (individually) as active, inactive, under maintenance, and outage. On the other hand, the mixed-integer lineal programming model determines the best way to generate and transmit power flows (considering, simultaneously, all possible solutions). This type of model allows solving the economic dispatch problem in lower computational times. It also ensures reaching the global optimum. When adding the discrete-event simulation model for studying the state of transmission lines, the final hybrid approach allows obtaining feasible solutions when the system parameters change. Here, both models (i.e., simulation and optimization models) are combined to improve the capabilities of the model structure to represent real-life scenarios. Our proposal is used to analyze a case study composed of an electric system with six buses, eleven lines, and three generators.

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An approach for DEVS based modeling of electrical power systems

Cited by 4 publications

References 0 publications

Spark!: an integrated resource planning and dispatch tool for power grid modelling

Spark!: an integrated resource planning and dispatch tool for power grid modelling

Formalized Risk Assessment for Safety and Security

Improving the optimization of electric power systems through a discrete event based simulation model

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