scholarly journals Synchronous Generator Advanced Control Strategies Simulation

10.5772/19908 ◽  
2011 ◽  
Author(s):  
Damir Sumina ◽  
Neven Bulic ◽  
Marija Mirosevic ◽  
Mato Miskovi
Keyword(s):  
Control Strategies ◽  
Synchronous Generator ◽  
Advanced Control

scholarly journals Advanced control strategies for bioprocess chromatography: Challenges and opportunities for intensified processes and next generation products

2021 ◽  
Vol 1639 ◽  
pp. 461914
Author(s):  
Alexander Armstrong ◽  
Kieran Horry ◽  
Tingting Cui ◽  
Martyn Hulley ◽  
Richard Turner ◽  
...  
Keyword(s):  
Control Strategies ◽  
Next Generation ◽  
Advanced Control ◽  
Challenges And Opportunities

scholarly journals Dynamic Analysis for VSG-Based Power Flow Control Applied to DG Systems

2021 ◽  
Author(s):  
THIAGO FIGUEIREDO DO NASCIMENTO ◽  
ANDRES ORTIZ SALAZAR
Keyword(s):  
Power Systems ◽  
Dynamic Analysis ◽  
Power Flow ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Power Flow Control ◽  
Grid Impedance ◽  
Impedance Parameters

The integration of distributed generation (DG) systems based on renewable energy sources (RES) by using power converters is an emerging technology in modern power systems. Among the control strategies applied to this new configuration, the virtual synchronous generator (VSG) approach has proven to be an attractive solution due providing suitable dynamic performance. Thus, this paper presents a dynamic analysis of gridtied converters controlled by using VSG concept. This analysis is based on a dynamic model that describes the DG power flow transient characteristics. Based on this model, the grid impedance parameters variation effects on the VSG controllers dynamic performance are discussed. Simulation results are presented to evaluate the effectiveness of the theoretical analysis performed.

scholarly journals Impact of Boundary Conditions on the Performance Enhancement of Advanced Control Strategies for a Residential Building with a Heat Pump and PV System with Energy Storage

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1413
Author(s):  
Emmanouil Psimopoulos ◽  
Fatemeh Johari ◽  
Chris Bales ◽  
Joakim Widén
Keyword(s):  
Energy Storage ◽  
Boundary Conditions ◽  
Heat Pump ◽  
Simulation Study ◽  
Control Strategies ◽  
Thermal Storage ◽  
Hot Water ◽  
Final Energy ◽  
Advanced Control ◽  
The Impact

Operational control strategies for the heating system of a single-family house with exhaust air heat pump and photovoltaic system and “smart” utilization of energy storage have been developed and evaluated in a simulation study. The main aim and novelty of this study is to evaluate the impact on the benefit of these advanced control strategies in terms of performance (energy use and economic) for a wide range of boundary conditions (country/climate, occupancy and appliance loads). Short-term weather data and historic price data for the same year as well as stochastic occupancy profiles that include the domestic hot water load are used as boundary for a parametric simulation study for the system modeled in detail in TRNSYS 17. Results show that the control using a forecast of dynamic electricity price leads to greater final energy savings than those due to the control using thermal storage for excess PV production in all of the examined locations except Sweden. The impact on self-consumption using thermal storage of heat produced by the heat pump using excess PV production is found to decrease linearly with increasing household electricity for all locations. A reduction in final energy of up to 842 kWh year−1 can be achieved just by the use of these algorithms. The net energy cost for the end-user follows the same trend as for final energy and can result in cost savings up to 175 € year−1 in Germany and Spain due to the use of the advanced control.

scholarly journals An MPC-Enabled SWMM Implementation of the Astlingen RTC Benchmarking Network

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1034 ◽  
Author(s):  
Congcong Sun ◽  
Jan Lorenz Svensen ◽  
Morten Borup ◽  
Vicenç Puig ◽  
Gabriela Cembrano ◽  
...  
Keyword(s):  
Real Time ◽  
Control Strategies ◽  
Real Time Control ◽  
Time Control ◽  
Advanced Control ◽  
Water Association ◽  
Benchmark System ◽  
Receiving Waters ◽  
Global Strategies ◽  
Swmm Model

The advanced control of urban drainage systems (UDS) has great potential in reducing pollution to the receiving waters by optimizing the operations of UDS infrastructural elements. Existing controls vary in complexity, including local and global strategies, Real-Time Control (RTC) and Model Predictive Control (MPC). Their results are, however, site-specific, hindering a direct comparison of their performance. Therefore, the working group ‘Integral Real-Time Control’ of the German Water Association (DWA) developed the Astlingen benchmark network, which has been implemented in conceptual hydrological models and applied to compare RTC strategies. However, the level of detail of such implementations is insufficient for testing more complex MPC strategies. In order to provide a benchmark for MPC, this paper presents: (1) The implementation of the conceptual Astlingen system in an open-source hydrodynamic model (EPA-SWMM), and (2) the application of an MPC strategy to the developed SWMM model. The MPC strategy was tested against traditional and well-established local and global RTC approaches, demonstrating how the proposed benchmark system can be used to test and compare complex control strategies.

PID, Fuzzy and Model Predictive Control Applied to a Practical Nonlinear Plant

2016 ◽  
Vol 4 (1) ◽  
pp. 19-42
Author(s):  
Kai Borgeest ◽  
Peter Josef Schneider
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Cooling System ◽  
Control Strategies ◽  
Fan Noise ◽  
Nonlinear Properties ◽  
Control Schemes ◽  
Advanced Control ◽  
Save Energy ◽  
Nonlinear Plant

For the cooling system of a mobile machine with m control variables and with n=m correction variables different control strategies have been investigated in order to minimize power to save energy and to reduce fan noise with sufficient cooling. The plant is nonlinear and not identified. Three different kinds of controllers have been investigated in several variations, i.e. fuzzy control, PI(D) and model predictive control (MPC). 14 different criteria have been used for evaluation. In many respects a linear controller with fuzzy prediction proved best, in particular the prediction model can handle nonlinear properties of the plant. A problem of advanced control schemes with unidentified plants is the difficulty to prove stability.

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