alexa Optimal Allocation & Setting of Fuel Cell for Loadability Enhancement in a Wind-PV Integrated System Based On Power System Stability
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
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Special Issue Article

Optimal Allocation & Setting of Fuel Cell for Loadability Enhancement in a Wind-PV Integrated System Based On Power System Stability

Sebin Joseph1, Emil Ninan Skariah2, Tibin Joseph3, Sasidharan Sreedharan4, Chittesh V C1, Vipin Das P1,Vishnu J1
  1. PG Scholar, SAINTGITS College of Engineering, Kottayam, Kerala, India
  2. Assistant Professor, SAINTGITS College of Engineering, Kottayam, Kerala, India
  3. Marie Curie Early Stage Researcher, Institute of Energy, Cardiff University, Cardiff, UK
  4. HOD Dept. of EEE, Vidya Academy of Science & Technology, Thrissur, Kerala, India
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Abstract

In this paper, Particle Swarm Optimization (PSO) based technique for the optimal placement & setting of fuel cell in wind integrated power system is developed. By means of fuel cell optimal placement, it is intended to maximize the system loadability while observing the system stability margins viz., small signal stability, voltage stability, and line stability. The impact of optimal integration using PSO algorithm has been analyzed by studying different system parameters like voltage profile, line flows and real power generation. The objective function to maximize is the load power increase at various buses with respect to the base case load. The active power outputs from the distributed generators are adjusted from their base case power outputs in order to supply the additional load and to minimize the disturbance on the conventional generators due to the fluctuating outputs from wind turbine generators. The application of the scheme is illustrated on Central Travancore Practical Grid System. Newton Raphson power flow method and modal analysis are used to quantify the benefits of the proposed methodology. Results present the maximum system loadability in percentage, optimal location and setting of distributed energy resources, maximum safe bus loading beyond which system becomes unstable.

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