Agent-Based Simulation of Wind Farm Generation at Multiple Time Scales

Kremers, Enrique; Durana, José Marı́a González de; Barambones, Óscar; Viejo, Pablo; Lewald, Norbert

doi:10.5772/16531

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…ABM has been applied to numerous fields successfully and is now paving its path towards power grids and electricity market. It can be combined with different other approaches as well such as system dynamics and discrete event, if needed to the best project a model (Kremers et al, 2011). Applications of ABM provide abstraction of real systems, at a microscopic level to model and explore complex behavior over time.…”

Section: Agent-based Modeling (Abm)mentioning

confidence: 99%

“…Mast et al (2007) develop an agent-based approach to simulate different scenarios and implement large scale offshore wind power plants that include uncertainties of future and consequences of the decision. Enrique et al (Kremers et al, 2011) integrated ABM with discrete events and dynamic systems approach to simulate the power of wind at different time instances. The modeling includes three different case studies such as low wind speed day, high wind speed day, and simulation over a week.…”

Section: Agent-based Modeling Frameworkmentioning

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: Agent-based Modeling (Abm)mentioning

confidence: 99%

Section: Agent-based Modeling Frameworkmentioning

confidence: 99%

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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On dynamic models for wind farms as systems of systems

Rannat

Motus

Meriste

et al. 2012

2012 7th International Conference on System of Systems Engineering (SoSE)

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Hybrid simulation of renewable energy generation and storage grids

Bazan¹,

German²

2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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The share of renewable energy sources in energy production is growing steadily. Domestic homes can be equipped with solar panels, micro combined heat and power systems, batteries, and they can become adaptive consumers. They can also deliver energy to the grid and react to the energy supply. This paper presents a hybrid simulation approach for the analysis of a grid of domestic homes equipped with different technological options with respect to efficiency and costs. For energy storage and energy flows the system dynamics modeling paradigm is used whereas control decisions are modeled as statecharts. The highly intermittent solar irradiation and also the electric power and heat demands are implemented as stochastic models. The component-based design allows for quick creation of new case studies. As examples, different homes with batteries, micro combined heat and power systems, or energy carrier carbazole as energy storage are analyzed.

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Agent-Based Simulation of Wind Farm Generation at Multiple Time Scales

Cited by 3 publications

References 10 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

On dynamic models for wind farms as systems of systems

Hybrid simulation of renewable energy generation and storage grids

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