Optimal sizing and control strategy of islanded microgrid using PSO technique

2014 ◽  
Author(s):  
Yiwei Ma ◽  
Ping Yang ◽  
Yuewu Wang ◽  
Zhuoli Zhao ◽  
Qunru Zheng
Keyword(s):  
Control Strategy ◽  
Optimal Sizing ◽  
Islanded Microgrid ◽  
And Control

scholarly journals Optimal Sizing and Control Strategy Design for Heavy Hybrid Electric Truck

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Yuan Zou ◽  
Dong-ge Li ◽  
Xiao-song Hu
Keyword(s):  
Control Strategy ◽  
Control Design ◽  
Bilevel Optimization ◽  
Hybrid Powertrain ◽  
Close Coupling ◽  
Optimal Sizing ◽  
Power Split ◽  
Optimization Methodology ◽  
Strategy Design ◽  
And Control

Due to the complexity of the hybrid powertrain, the control is highly involved to improve the collaborations of the different components. For the specific powertrain, the components' sizing just gives the possibility to propel the vehicle and the control will realize the function of the propulsion. Definitely the components' sizing also gives the constraints to the control design, which cause a close coupling between the sizing and control strategy design. This paper presents a parametric study focused on sizing of the powertrain components and optimization of the power split between the engine and electric motor for minimizing the fuel consumption. A framework is put forward to accomplish the optimal sizing and control design for a heavy parallel pre-AMT hybrid truck under the natural driving schedule. The iterative plant-controller combined optimization methodology is adopted to optimize the key parameters of the plant and control strategy simultaneously. A scalable powertrain model based on a bilevel optimization framework is built. Dynamic programming is applied to find the optimal control in the inner loop with a prescribed cycle. The parameters are optimized in the outer loop. The results are analysed and the optimal sizing and control strategy are achieved simultaneously.

Optimal Sizing Method and Control Strategy of Energy Storage Systems for Large-Scale Wind Power Integration

2016 ◽  
Vol 11 (6) ◽  
pp. 644
Author(s):  
Diego Fernando Gomez ◽  
Mario Alberto Rios ◽  
Gustavo Andres Ramos ◽  
Hernan Palacios ◽  
Luis Alberto Posada
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Control Strategy ◽  
Large Scale ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Optimal Sizing ◽  
Wind Power Integration ◽  
And Control

Dry chip feedrate control using online chip moisture

TAPPI Journal ◽  
2018 ◽  
Vol 17 (05) ◽  
pp. 295-305
Author(s):  
Wesley Gilbert ◽  
Ivan Trush ◽  
Bruce Allison ◽  
Randy Reimer ◽  
Howard Mason
Keyword(s):  
Production Rate ◽  
Control Strategy ◽  
Rate Control ◽  
Near Infrared ◽  
Dry Mass ◽  
The Other ◽  
Process Variability ◽  
Moisture Sensor ◽  
Feedback Control Strategy ◽  
And Control

Normal practice in continuous digester operation is to set the production rate through the chip meter speed. This speed is seldom, if ever, adjusted except to change production, and most of the other digester inputs are ratioed to it. The inherent assumption is that constant chip meter speed equates to constant dry mass flow of chips. This is seldom, if ever, true. As a result, the actual production rate, effective alkali (EA)-to-wood and liquor-to-wood ratios may vary substantially from assumed values. This increases process variability and decreases profits. In this report, a new continuous digester production rate control strategy is developed that addresses this shortcoming. A new noncontacting near infrared–based chip moisture sensor is combined with the existing weightometer signal to estimate the actual dry chip mass feedrate entering the digester. The estimated feedrate is then used to implement a novel feedback control strategy that adjusts the chip meter speed to maintain the dry chip feedrate at the target value. The report details the results of applying the new measurements and control strategy to a dual vessel continuous digester.

A power management and control strategy with grid-ancillary services for a microgrid based on DC Bus

2014 ◽  
Vol 9 (4) ◽  
pp. 792 ◽  
Author(s):  
Anna Pinnarelli ◽  
Giuseppe Barone ◽  
Giovanni Brusco ◽  
Alessandro Burgio ◽  
Daniele Menniti ◽  
...  
Keyword(s):  
Power Management ◽  
Control Strategy ◽  
Ancillary Services ◽  
Dc Bus ◽  
And Control
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