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Simulator of System of Electrical Energy.
by Institute of Electrical Engineering
Authors:
Ruben Chaer, Pablo Alfaro y Gonzalo Casaravilla
Contact:
Ruben Chaer
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SimSEE is a platform for the Simulation of Systems of Electrical Energy. As such, it allows creating simulators tailored to a generation system, simply by adding the different types of Actors (thermal, wind, solar and hydraulic generators, demand, interconnections, etc.) to a Play-Room (simulation environment). These Actors behave in the Room according to their type.
It is 100% programmed with Object Oriented technology which makes it easy to incorporate new models (types of Actors).
To simulate the optimal operation of an Electric Power System, SimSEE solves a Dynamic Stochastic Programming problem, obtaining as a result an Optimal Operation Policy. Using this Policy, different realizations of the stochastic processes (chronicles or possible histories of the future of the system) are simulated.
Since 2010, SimSEE has become the tool commonly used in Uruguay to simulate the operation of the energy system, mainly due to the good stochastic models developed for the modeling of wind and solar energy.
These models achieve an adequate representation, both in the long term (Investment Planning) and in the short term (System Operation).
Based on freepascal. Using freepascal for data processing.
Website / Documentation
Download
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 Open Source
GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Optimal energy dispatch
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| Sectors
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Electricity Market
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch, investment
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| Regions
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| Geographic Resolution
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| Time resolution
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Hour
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| Network coverage
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net transfer capacities
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| Model type
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Optimization, Simulation
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Optimal Stochastic Dynamic Programming solver for computation of the operational Policy and a Monte Carlo style simulator of the system using the computed Policy
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| Variables
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1000
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| Computation time
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15 minutes (the 15 min with 8 cpus is for a optimizaion/simulation of the uruguayan system over 10 years horizon with a daily time-step)
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| Objective
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minimization of the future operational cost.
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| Uncertainty modeling
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stochastic, hydro inflows, wind velocity, solar radiation, temerature an Demand.
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Chaer, R. (2008.). Simulación de sistemas de energía eléctrica. Tesis de maestría. Universidad de la Republica (Uruguay). Facultad de Ingenieria.
Reports produced using the model
Chaer R. (2018) Handling the Intermittence of Wind and Solar Energy Resources, from Planning to Operation. Uruguay’s Success. September 2018 Conference: 36th USAEE/IAEE NORTH AMERICAN CONFERENCEAt: Washington DC USA
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