Power Research

J. Jeslin Drusila Nesamalar ¹, K. Bavithra ², S. Charles Raja ³, P. Venkatesh ⁴

Affiliations
1 Research scholar, EEE Department, Thiagarajar College of Engineering, Madurai - 625015, IN
2 PG Scholar, EEE Department, Thiagarajar College of Engineering, Madurai - 625015, IN
3 Assistant Professor, EEE Department, Thiagarajar College of Engineering, Madurai - 625015, IN
4 Associate Professor, EEE Department, Thiagarajar College of Engineering, Madurai – 625015, IN

Abstract

The cost based monopolistic power market rules are new fangled by the word deregulation. Trepidations in its conceptualisation and integrated operation in the impending scenario are transmission pricing, congestion management and Available Transfer Capability (ATC). Of this intriguing technical challenge, ATC is the one that needs to be interrogated and dogged to make open access a feasible obsession for private entity participation which is deregulation’s intention.

This research work aims at calculating ATC using non iterative, simple, Power Transfer Distribution Factors (PTDF) based methodology, enhancing them using Flexible AC Transmission system (FACTS) devices like Static compensator (STATCOM) and Unified Power Flow Controller (UPFC). A proven alternative to overcome extravagance by erecting new transmission facility is incorporation of FACTS devices in the existing structure that indulge in reactive power compensation. These FACTS devices are modelled using the power flow equations and is placed optimally based on the slope of sensitivity factors.

The optimal settings of FACTS devices is obtained by a soft computing technique labelled as Particle Swarm Optimisation (PSO) to enhance the ATC for the assumed bilateral and multilateral power contracts. The voltage and angle of shunt and series FACTS devices are randomly generated as the population of PSO on sample 6 bus and standard IEEE 30 bus systems.

Keywords

PTDF, linear slope of sensitivity factors, power flow modelling of facts, particle swarm optimisation, bilateral and multilateral transactions.

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M Rajvikram ¹, P. Renuga ², G. Aravind Kumar ³, K. Bavithra ⁴

Affiliations
1 PG Scholar, EEE Department, Thiagarajar College of Engineering, Madurai-625015, IN
2 Associate Professor, EEE Department, Thiagarajar College of Engineering, Madurai-625015, IN
3 PG Scholar, EEE Department,Kalasalingam University, Madurai-625015, IN
4 Assistant Professor, EEE Department PSG Institute of Technology and Applied Research, Coimbatore -641062, IN

Abstract

In order to minimize the environmental pollution and to meet the demand of power generation, the electrical power is generated through the renewable energy resources. The wind energy is the massive energy resource compared to other mode of renewable energy resources. This paper deals on the fault ride-through capability of Permanent Magnet Synchronous Generator (PMSG) wind turbines. The main attention in the paper is, to control the PMSG wind turbine and its power converter and to the ability to protect itself without disconnection during grid fault is the main work focused in this project. Also this paper provides the necessary information on the interaction between variable-speed PMSG wind turbines and the power system subjected to faults, such as short circuit faults. The PMSG based WECS is subjected to the grid faults it will cause the oscillations in the DC link voltage at back to back converter. A crowbar and Super Conducting Fault Current limiters (SCFCL) is proposed to supress the DC link voltage oscillations and to enhance the Low Voltage Ride-through (LVRT) Capability of PMSG based wind turbine. To achieve the reactive power support at the grid side the STATCOM is implemented. The simulation results implemented in Matlab/Simulink show that the proposed control strategy not only improves the stability of PMSG by means of suppressing the DC-link voltage oscillation, but also provides a transient stability support to restraint the disturbance of the grid voltage.

Keywords

PMSG (Permanent Magnet Synchronous Generator), DC link voltage, grid faults.

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