An economical diesel engine emulator for micro-grid research

Neely, Jason C.; Pekarek, Steve; Glover, Steve; Finn, Jason; Wasynczuk, Oleg; Loop, Benjamin

doi:10.1109/speedam.2012.6264588

Cited by 14 publications

(2 citation statements)

References 3 publications

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“…In this platform however, an AC motor coupled with a variable frequency drive (VFD) is used to emulate the diesel engine. As described in [3], the overall dynamics of the VFD-powered AC motor closely matches that of an diesel engine. The experimental platform is fitted with sensors and actuators that correspond to those found on a real diesel gen-set:…”

mentioning

confidence: 65%

Intelligent control of diesel generators using gain-scheduling: Based on online external-load estimation

Maï

Jepsen

Yang

et al. 2014

2014 International Power Electronics and Application Conference and Exposition

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The development of an intelligent control solution for a wide range of diesel generators is discussed. Compared with most existing solutions, the advantages of the proposed solution lie in two folds: (i) The proposed control has the plugand-play capability which is reflected by an automatic recognition procedure when it is plugged into a specific diesel generator, such that some extensive manual-tuning of the installed controller can be significantly reduced; (ii) The proposed control has an realtime adaptability by using the online external load estimation, such that the integrated system can keep a consistent performance for a wide range of operating conditions. Technically, a general nonlinear dynamic model is firstly developed based on fundamental principles of diesel generators. Then, the system parameters of this model can be identified experimentally or partially retrieved from the data-sheet for a specific unit. By combining an online external-load estimation with this specific units model, finally an intelligent control using the online gain scheduling strategy is proposed. The proposed solution is verified and analyzed based on a lab-sized emulator of a diesel generator, where a controlled AC-motor is employed to emulate a diesel engine. The testing results clearly show that the proposed control solution can lead to a better overall system performance than most existing solutions do, especially subject to widely diverse operating conditions

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mentioning

confidence: 65%

Intelligent control of diesel generators using gain-scheduling: Based on online external-load estimation

Maï

Jepsen

Yang

et al. 2014

2014 International Power Electronics and Application Conference and Exposition

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“…A comprehensive microgrid testbed has been constructed which includes a reconfigurable bus, two mechanical source emulators capable of emulating a wind turbine, diesel engine, water turbine, or a wave energy device, a high-power digital resistor rated to 6.7 kW at 400V bus voltage, an energy storage emulator capable of sourcing or sinking 5kW of power, and master control console that scripts the experiments [11], [12], [13], [14]. The system under consideration for this paper has two wind turbine generators, three energy storage systems and a resistive load; see Figs.…”

Section: Microgrid System and Reduced Order Modelmentioning

confidence: 99%

Hamiltonian control design for DC microgrids with stochastic sources and loads with applications

Wilson

Neely

et al. 2014

2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion

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To achieve high performance operation of microgrids that contain stochastic sources and loads is a challenge that will impact cost and complexity. Developing alternative methods for controlling and analyzing these systems will provide insight into tradeoffs that can be made during the design phase. This paper presents a design methodology, based on Hamiltonian Surface Shaping and Power Flow Control (HSSPFC) [1] for a hierarchical control scheme that regulates renewable energy sources and energy storage in a DC microgrid. Recent literature has indicated that there exists a trade-off in information and power flow and that intelligent, coordinated control of power flow in a microgrid system can modify energy storage hardware requirements. Two scenarios are considered; i) simple two stochastic source with variable load renewable DC Microgrid example and ii) a three zone electric ship with DC Microgrid and varying pulse load profiles.

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Evaluation of power flow control for an all-electric warship power system with pulsed load applications

Neely

Rashkin

et al. 2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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An economical diesel engine emulator for micro-grid research

Cited by 14 publications

References 3 publications

Intelligent control of diesel generators using gain-scheduling: Based on online external-load estimation

Intelligent control of diesel generators using gain-scheduling: Based on online external-load estimation

Hamiltonian control design for DC microgrids with stochastic sources and loads with applications

Evaluation of power flow control for an all-electric warship power system with pulsed load applications

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