Fuel cell and ultracapacitor energy system control using linear quadratic regulator proportional integral controller

Das, Himadry Shekhar; Tan, Chee Wei; Yatim, A.H.M.; Li, Shuhui

doi:10.1007/s00202-019-00804-x

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…In the literature, different types of FC hybrid architectures are proposed based on the selected application [62]. The hybrid configurations studied in this work are full-active, semi-active, and passive, as shown in Fig.…”

Section: Problem Definition and Two-level Optimizationmentioning

confidence: 99%

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

Macías

Kandidayeni

Boulon

et al. 2021

Energy

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Section: Problem Definition and Two-level Optimizationmentioning

confidence: 99%

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

Macías

Kandidayeni

Boulon

et al. 2021

Energy

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“…Liner quadratic regulator (LQR) is a control that working based on minimizing the index of the quadratic performance which as result provide an optimal control law [17][18][19]. The block diagram of the LQR is shown in Figure 3.…”

Section: Linear Quadratic Regulator (Lqr)mentioning

confidence: 99%

Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error

Ahmed¹

2020

IJECE

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For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear quadratic regulator (LQR) which relies on state vector feedback. Despite this strategy gives very good result, it still has trial and error procedure to select the values of its weight matrices which plays a important role in reaching to the desiered system performance. In order to overcome this problem, the Genetic algorithm is used. The design of genetic algorithm based linear quadratic regulator (GA-LQR) utilized Integral time absolute error (ITAE) as a cost function for optimization. The propsed procedure is implemented on a linear model of gas turbine to control the generator spool’s speed and the output power.

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“…In addition, although the high-frequency power of the wind turbine can be suppressed by the external energy storage link, due to the limitation of the charge and discharge cycle of the energy storage system, the use of energy storage to absorb high-frequency power will affect the life of the energy storage system, increase the replacement frequency of the energy storage system [5][6][7][8]. Previously, relevant literature has been studied and proposed coordinated control methods [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Power Coordination Control Method of Wind Turbine Considering Power Demand Characteristics of Hydrogen Production System

Xia,

Chen,

Wang

2023

Preprint

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Among the relatively mature new energy generation technologies, wind power has attracted widespread attention for rich reserves and pollution-free emissions. However, wind power generation has randomness and volatility, posing a huge challenge to power quality and stability. With the rapid development of technologies such as water electrolysis and breakthroughs in key technologies, wind energy hydrogen production technology provides new ideas for solving problems such as poor power quality and strong voltage fluctuations in wind power generation systems. This paper fully considering the electrolyzer dynamic power variation requirements and the wind turbine output power variation characteristics, designs a constant bandwidth MPPT control strategy to achieve on-demand power output of the wind turbine; at the same time, smooth the output power, achieve dynamic coordination of power between the wind turbine and the electrolyzer system. Finally, the effectiveness of the proposed coordinated control method is verified through simulation.

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Fuel cell and ultracapacitor energy system control using linear quadratic regulator proportional integral controller

Cited by 13 publications

References 37 publications

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error

Power Coordination Control Method of Wind Turbine Considering Power Demand Characteristics of Hydrogen Production System

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