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Enhancing smart grid transient performance using storage device-based MPC controller

delete2017-06-22
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PRE
AI
Y
Yara A. Sultan *
S
Sahar S. Kaddah
M
Mostafa A. Elhosseini
DOI:10.1049/iet-rpg.2016.0892delete
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摘要

摘要

En 中文
Renewable energy sources (wind turbine and photovoltaic system) are connected to the smart grid to promote the grid power, but the output of these sources is changed due to the sunlight and wind speed variations. Power storage system has the ability to reduce variations in a power system. Battery energy storage system (BESS) and superconducting magnetic energy storage system (SMES) are good solutions for this problem. The storage unit is connected to a power system at the point of common coupling and is able to absorb/store both active and reactive powers from this system and inject them into the power system in the peak demand periods. A control strategy based on proportional-integrative-derivative (PID) and model predictive controller (MPC) are used to control (SMES/BESS) to enhance the transient performance of a smart grid. The proposed algorithm has been tested on standard IEEE 5-bus system connected to wind turbine distributed generator, non-linear loads, and storage device (BESS/SMES) to verify the superiority of the presented method. The simulation results show that the performance of SMES with PID is more efficient than BESS with PID, but they have nearly the same output when MPC control strategy is used.
Keyword:
smart power grids
predictive control
three-term control
energy storage
battery storage plants
superconducting magnet energy storage
reactive power
wind turbines
distributed power generation
power generation control
smart grid transient performance
storage device-based MPC controller
renewable energy source
photovoltaic system
power storage system
sunlight
wind speed variation
battery energy storage system
BESS
superconducting magnetic energy storage system
SMES
point of common coupling
reactive power
proportional-integrative-derivative control
PID control
model predictive controller
IEEE 5-bus system
wind turbine distributed generator
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IET Renewable Power Generation 封面图
IET Renewable Power Generation
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2.9
论文数:
488
被引数:
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egyptian knowledge bank (ekb)
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被引数: 84
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Mansoura University
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