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Mohanraj B S et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 10( Part - 4), October 2014, pp.62-68
RESEARCH ARTICLE OPEN ACCESS
Micro-Turbine Generation Control System Optimization Using Evolutionary algorithm
Mohanraj B S*, Arunnambi*, Selvabharathi*,
*Asst. Professor, Dept. of EEE, SRM University, India. *Asst. Professor, Dept. of EEE, SRM University,
Distribution systems management is becoming an increasingly complicated issue due to the introduction of new technologies, new energy trading strategies, and new deregulated environment. In the new deregulated energy market and considering the incentives coming from the technical and economical fields, it is reasonable to consider Distributed Generation (DG) as a viable option to solve the lacking electric power supply problem. This paper presents a mathematical distribution system planning model considering three planning options to system expansion and to meet the load growth requirements with a reasonable price as well as the system power quality problems. DG is introduced as an attractive planning option in competition with voltage regulator devices and Interruptible load.
This paper presents a dynamic modelling and simulation of a high speed single shaft micro-turbine generation (MTG) system for grid connected operation and shows genetic algorithm (GA) role in improvement of control system operation. The model is developed with the consideration of the main parts including: compressor-turbine, permanent magnet (PM) generator, three phase bridge rectifier and inverter. The simulation results show the capability of Genetic Algorithm for controlling MTG system. The model is developed in Mat lab / Simulink.
Index Terms--Distributed Generation, Genetic Algorithm, Inverter, Micro-Turbine.
Distributed Generation (DG) is expected to play a major role in the future of power generation systems. DG can help to reduce transmission losses, improve power quality to end users, and smooth peaks in demand patterns . Although different works have been undertaken on modelling of micro turbine, it is essential to develop more models with higher precision. In - a dynamic model for combustion gas turbine has been discussed. In these references, the model was used to represent the gas turbine dynamics, including speed, temperature, acceleration and fuel controls. However, these works deal with heavy-duty gas turbine. A non-linear model of the micro-turbine implemented in NETOMAC software and a linear modelling of grid connected MTG system are reported in  and , respectively. The dynamic behaviour of the grid connected split shaft micro-turbine is done in . A dynamic modelling of micro-turbine developed a generic model of the grid connected micro-turbine converter is reported in . In  the evaluation of the electromagnetic transients of a grid connected MTG system that includes an AC-DC-AC converter is discussed.
The load following performance and modeling of split shaft micro turbine is developed in . This paper presents a dynamic modeling of MTG system
used genetic algorithm to determine the value of controller blocks coefficients in order to achieve the best control performance.
Micro turbines are small combustion turbines with outputs of 25 kW to 500 kW. They evolved from automotive and truck turbochargers, auxiliary power units (APUs) for airplanes, and small jet engines. Micro turbines are a relatively new distributed generation technology being used for stationary energy generation applications. They are a type of combustion turbine that produces both heat and electricity on a relatively small scale
A micro gas turbine engine consists of a radial inflow turbine, a centrifugal compressor and combustor. The micro turbine is one of the critical components in a micro gas turbine engine, since it is used for outputting power as well as for rotating the compressor. Micro turbines are becoming widespread for distributed power and combined heat and power applications. They are one of the most promising technologies for powering hybrid electric vehicles. They range from hand held units producing less than a kilowatt, to commercial sized systems that produce tens or hundreds of kilowatts. Part of their success is due to advances in electronics, which allows
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