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The Hybrid Power System Simulation Model
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The Hybrid2 software package is a user
friendly tool to perform detailed long term performance and
economic analysis on a wide variety of hybrid
power systems. Hybrid2 is a probabilistic/time series computer
model, using time series data for Loads, Wind speed, Solar insolation,
Temperature and the power system designed or selected by the user,
to predict the performance of the hybrid power system. Variations
in wind speed and in load within each time step are factored into
the preformance predictions. The code does not consider short
term system fluctuations caused by system dynamics or component
transients
Hybrid2 was designed to study a wide variety of hybrid power systems. The hybrid systems may include three types of electrical loads, multiple wind turbines of different types, photovoltaics, multiple diesel generators, battery storage, and four types of power conversion devices. Systems can be modeled on the AC, DC or both buses. A variety of different control strategies/options may be implemented which incorporate detailed diesel dispatch as well as interactions between diesel gensets and batteries. An economic analysis tool is also included that calculates the economic worth of the project using many economic and performance parameters.
The Hybrid2 code employs a user-friendly Graphical
User Interface (GUI) and a glossary of terms commonly associated
with hybrid power systems. Hybrid2 is also packaged with a library
of equipment to assist the user in designing hybrid power systems.
Each piece of equipment is commercially available and uses the
manufacturers' specifications. In addition the library includes
sample power systems and projects that the user can use as a template.
Two levels of output are provided, a summary
and a detailed
time step by time step description of power flows. A Graphical
Results Interface (GRI) allows for easy and in-depth review of
the detailed simulation results.
- Basic features:
- Probabilistic/time series model: The model
is based on time series data but uses statistical methods to
account for inter time step variations in the wind and load.
This allows for a more accurate prediction of diesel operation
and dispatching.
- Very diverse
system architecture allowed:
- Systems based on three buses containing wind turbines, PV array, diesels, battery storage, power converters and a dump load.
- Detailed dispatching options:
- Over 180 different configurations allowed
as well as a library of 12 different commonly used dispatch
options. Based on decisions relating to how batteries and diesels
will operate if included in the power system. The user is allowed
to specify when the diesels are started, in what order, how
they operate in relation to a battery bank and when they are
shut off.
- On line library of manufactures equipment
and data files:
- Allows the user to easily create projects
and power systems using pull down menus of commercially available
components and power systems as well as resource data files.
The library contains approximately 150 different wind turbines,
PV modules, diesels, batteries, power systems as well as resource
data files.
- Uses commonly accessible data to define
components and systems:
- All components are easily defined from manufactures
specification data so that users can enter components not included
in the NREL library. New entries become part of the library
for use in other projects and systems.
- Very detailed economic analysis:
- Allows the user to do detailed analysis on
potential systems taking into account a wide variety of inputs
from taxes to load information.
- On line glossary:
- A glossary of commonly used terms to assist
the year in defining projects and hybrid power systems
- For further information please contact:
- Ian Baring-Gould
- NREL/NWTC
- 1617 Cole Blvd.
- Golden, CO 80401-3393
- Phone : (303) 384-7041
- Fax : (303) 384-6901
- E-mail : hybrid2@nrel.gov
- or
- Renewable Energy Research Laboratory
- University of Massachusetts
- Amherst, MA 01003
- Phone : (413) 545-3916
- Fax : (413) 545-1027
- E-mail : hybrid2@ecs.umass.edu
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