GridLAB-D: An open-source power systems modeling and simulation environment

Chassin, David P.; Schneider, Kevin P.; Gerkensmeyer, Clint

doi:10.1109/tdc.2008.4517260

Cited by 335 publications

(158 citation statements)

References 3 publications

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“…Furthermore, nowadays, buildings may accommodate distributed energy generators like small wind turbines, photovoltaic panels and batteries, and include modern loads like electric vehicles. Realistic models for these loads and generators may be found in power simulators, with GridLAB-D being a notable example [39]. In this regard, GridLAB-D includes building thermal response and thermostat control models, appliance models, battery storage models and vehicle charging system models, as well as models for distributed generation resources such as diesel backup generators, microturbines and photovoltaics.…”

Section: Building Energy Management Simulationmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

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Abstract:The complexity of the power grid, in conjunction with the ever increasing demand for electricity, creates the need for efficient analysis and control of the power system. The evolution of the legacy system towards the new smart grid intensifies this need due to the large number of sensors and actuators that must be monitored and controlled, the new types of distributed energy sources that need to be integrated and the new types of loads that must be supported. At the same time, integration of human-activity awareness into the smart grid is emerging and this will allow the system to monitor, share and manage information and actions on the business, as well as the real world. In this context, modeling and simulation is an invaluable tool for system behavior analysis, energy consumption estimation and future state prediction. In this paper, we review current smart grid simulators and approaches for building and user behavior modeling, and present a federated smart grid simulation framework, in which building, control and user behavior modeling and simulation are decoupled from power or network simulators and implemented as discrete components. This framework enables evaluation of the interactions between the communication infrastructure and the power system taking into account the human activities, which are at the focus of emerging energy-related applications that aim to shape user behavior. Validation of the key functionality of the proposed framework is also presented.

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Section: Building Energy Management Simulationmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

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“…Many of these replacements are typical of simulations, and the simulator itself has been well-developed and exercised for real-world modeling (e.g. [4], [14], [15]). …”

Section: A Experimental Setupmentioning

confidence: 99%

Balance: Budget-driven smart thermostat control

McArdle

Julien

2014

2014 IEEE International Workshop on Intelligent Energy Systems (IWIES)

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Abstract-Heating and cooling (HVAC) needs account for a large percentage of residential energy usage, which has prompted development of autonomous thermostat control to reduce unnecessary HVAC usage, primarily when occupants are away. We instead consider the balance of the financial burden of HVAC costs with occupants' comfort desires while they are at home. We present BALANCE, an autonomous thermostat management system that balances a range of user comfort levels with a user-defined monthly budget for HVAC costs. We provide a simple agent that accomplishes this task in realistic simulated environments.

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“…The performance of the proposed load controller algorithm is evaluated with numerical simulations using GridLAB-D [12] on a feeder representing a typical North American distribution system. GridLAB-D is a discrete event simulation platform that contains detailed models of electrical distribution system components and loads, together with weather data, and a framework for collecting statistics about the state of the network and loads.…”

Section: Simulation Configurationmentioning

confidence: 99%

Design and evaluation of autonomous hybrid frequency-voltage sensitive load controller

Douglass

García-Valle

Sossan

et al. 2013

IEEE PES ISGT Europe 2013

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Abstract-The paper introduces an algorithm for control of autonomous loads without digital communication interfaces to provide both frequency regulation and voltage regulation services. This hybrid controller can be used to enhance frequency sensitive loads to mitigate line overload arising from reduced load diversity. Numerical simulations of the hybrid controller in a representative distribution system show the peak system load was reduced by 12% compared to a purely frequency sensitive load controller.

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GridLAB-D: An open-source power systems modeling and simulation environment

Cited by 335 publications

References 3 publications

Novel Simulation Approaches for Smart Grids

Novel Simulation Approaches for Smart Grids

Balance: Budget-driven smart thermostat control

Design and evaluation of autonomous hybrid frequency-voltage sensitive load controller

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