An Integrated Modeling, Simulation and Analysis Framework for Engineering Complex Systems

Mahmood, Imran; Kausar, Tameen; Sarjoughian, Hessam S.; Malik, Asad Waqar; Riaz, Naveed

doi:10.1109/access.2019.2917652

Cited by 23 publications

(12 citation statements)

References 31 publications

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“…However, these tools provide limited scalability, support for multi-resolution modeling and no additional support for cloudbased simulation In this work, we propose a flexible agent-based component-oriented design for the rapid prototyping of wind power plants with a wider range of design flexibility and model reuse. The former allows quick modifications in the component specifications, whereas the latter offers component reuse in different settings to prototype design variations (Mahmood et al, 2019). Moreover, our choice to use Anylogic as an underlying 'Simulation Engine' offers numerous benefits such over tools used in existing work, such as (i) Multiresolution, multi-scale, hierarchical and modeling environment to simulate large-scale complex models (Mahmood et al, 2020a); (ii) A user-friendly model editing visual interface, that allows easy configuration and extensibility features; (iii) Large-scale, high-performance platform that can run on a standalone system or can be configured for the cloud-based runtime simulation environment.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we propose a component-based approach to model wind turbine system and simulate its generation using external parameters such as wind speed. The model is based on component-based approach (Mahmood et al, 2019) that allows the use of different combinations to evaluate an engineering design. It takes into account working of different components to forecast energy generation at different wind speeds at different instance of time.…”

Section: Energy System Modelingmentioning

confidence: 99%

“…Mahmood et al (2020a) present an extensive review on a wide range of agent-based models that are used in simulating the demand and supply of energy at various resolutions. Furthermore they present a hierarchical, multi-resolution Agent Based Modeling and Simulation Framework for simulation long term energy Demand at residential level (Mahmood et al, 2019). Moreover, the distribution of the articles over different topics shows the continuous electricity market-related explorations.…”

Section: Agent-based Modeling Frameworkmentioning

confidence: 99%

“…It is therefore important to know about the plant's productivity before installing it (Guo et al, 2020). Hence, a prerequisite is to build a greater confidence in the engineering design before implementation, through the use of modeling and simulation (M&S) techniques (Fujimoto et al, 2017;Mahmood et al, 2019Mahmood et al, , 2020a.…”

Section: Introductionmentioning

confidence: 99%

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Modeling, simulation and forecasting of wind power plants using agent-based approach

Mahmood

Mobeen

Rahman

et al. 2020

Journal of Cleaner Production

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National economy and growth rely heavily on electricity but rapid urbanization, expeditious industrialization and increased domestic use due to population growth are among the reasons for the severe energy crisis in developing countries. The extended demand-supply gaps, depleting reservoirs of fossil fuel, and the environmental hazards altogether ignite the need for wider adoption of renewable energy resources for electricity generation. A functional assessment of the engineering design for this transition is a prerequisite before proceeding to on-ground implementation due to its high impact on system sustainability. To this end, we propose an agent-based modeling and simulation framework for the rapid prototyping of wind power plants. The proposed approach abstracts active components of wind power plants using agents and implements their dynamic behavior through agent interactions. The proposed model helps in composing different model components, design valuation, and forecasting energy generation in a cost-effective and productive manner. The proposed model is demonstrated by conceptualizing the design of the Foundation Wind Energy plant, located at Sindh, Pakistan, and the development of its agent-based model. The obtained short-term and long-term electricity generation profiles are validated with the actual data. We further compared the forecasts with the time series analysis performed on the actual data, using five different time-series forecasting models. The proposed simulation model and time series analysis model fit well on the actual data with a root mean square deviation of approximately 9 MW. The proposed framework will assist the policymakers in estimating the extent of electrical energy produced at given conditions using the wind potential available at the corridors of any country. It will further aid in the realistic analysis of the future dynamics of electricity demand and supply, hence help in effective energy planning.

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Section: Discussionmentioning

confidence: 99%

Section: Energy System Modelingmentioning

confidence: 99%

Section: Agent-based Modeling Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling, simulation and forecasting of wind power plants using agent-based approach

Mahmood

Mobeen

Rahman

et al. 2020

Journal of Cleaner Production

Self Cite

View full text Add to dashboard Cite

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“…The former, as seen in previous literature [13~15], studied computer visualization but did not realize the interface with the system simulation algorithm. There are also many studies on the latter: literature [16] studied a real-time simulation platform of a 400 V-50 KVA digital physics hybrid power system; literature [17] studied a real-time simulation technology for power system design, testing and analysis; literature [18] proposed an integrated modelling and simulation analysis of engineering complex systems; and literature [19] applied the DecompositionJ framework and co-simulation platform to power grid research. These studies only examined system simulation models and did not realize system visualization.…”

Section: Introductionmentioning

confidence: 99%

Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

Wang

et al. 2020

IEEE Access

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To realize a computerized autonomous recognition of human-computer interface graphics and autonomously interface an interface graphic model with a simulation analysis program of a systems operation, a human-computer interface topology identification algorithm based on quadratic space mapping (QSM) is proposed, which includes three mapping spaces and two mapping methods. The three mapping spaces are defined as the interface modelling graphics space, the primitive information space and the abstract topology space. The first mapping method uses hierarchical topology mapping based on coordinate properties, and the second uses abstract topology mapping based on breadth first search. The QSM algorithm converts a visual graphical physical model on a human-machine interface into a computerrecognizable abstract model. Then, a simulation analysis of the system is performed automatically by a computer using the converted abstract model. Finally, taking the distribution network system as an example, the proposed topology recognition algorithm realizes the conversion of the interface modelling graph to the abstract model of the distribution network. Furthermore, the simulation of the power flow algorithm is performed by interfacing perfectly with the abstract model, and the feasibility and practicability of the algorithm are verified.

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Model‐driven engineering for simulation models interoperability: A case study in space industry

Eramo,

Nolletti,

Pomante

et al. 2024

Softw Pract Exp

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Modeling and simulation represent an essential part of overall systems engineering. Complex engineering systems are composed of many heterogeneous components often modeled and simulated employing different languages and environments, and often by different organizations; thus, demands for interoperability are getting increased. Model‐driven engineering (MDE) has been demonstrated to be an advancement in software engineering: existing software in several domains today benefits from abstraction and automation during the system development process. Although these techniques are now highly advanced, many industries may require considerable effort before fully benefiting from them. This article reports on a case study carried out for 12 months within a company in the space industry domain. The goal of this empirical study is to investigate the adoption of MDE in supporting simulation models interoperability. The article identifies factors considered important for MDE adoption as well as obstacles that can be encountered in a real case. Researchers and practitioners may benefit from our findings typically when reusing models across different simulation environments, exchanging simulation models between different stakeholders, and seeking to improve simulation modeling practices.

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An Integrated Modeling, Simulation and Analysis Framework for Engineering Complex Systems

Cited by 23 publications

References 31 publications

Modeling, simulation and forecasting of wind power plants using agent-based approach

Modeling, simulation and forecasting of wind power plants using agent-based approach

Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

Model‐driven engineering for simulation models interoperability: A case study in space industry

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