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A mathematical model of SOFC power plant for dynamic simulation of multi-machine power systems
- Source :
- Energy. 149:397-413
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Modern power networks are complex multi-component dynamic system with many operational levels made up of a wide range of renewable energy resources. The low frequency oscillations may undergo and sustain to cause system separation if adequate damping is not provided. This research work presents the mathematical model of Solid Oxide Fuel Cells (SOFC) within transmission network in order to dynamic stability analysis and control. The main contribution is to propose the new linearized Heffron-Philips model of the system under consideration the SOFC power plant to studying of low frequency oscillations. The eigenvalue-based objective function is used to search optimal multi-machine power system stabilizer (PSS) with the Particle Swarm Optimization (PSO) technique under various operating conditions. The effectiveness of the proposed model is tested on three-machine power system integrated with the single SOFC power plant. The time-domain simulation results are promising and illustrate the effectiveness of the proposed stabilizers. It can be damp the low frequency oscillations in the best possible procedure and significantly improves the stability performance of the case study system.
- Subjects :
- Work (thermodynamics)
Power station
business.industry
Computer science
020209 energy
Mechanical Engineering
020208 electrical & electronic engineering
Particle swarm optimization
02 engineering and technology
Building and Construction
Pollution
Stability (probability)
Industrial and Manufacturing Engineering
Renewable energy
Power (physics)
Dynamic simulation
Electric power system
General Energy
Control theory
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 149
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........c4734b8fd62e0f0c24fc110708563c12
- Full Text :
- https://doi.org/10.1016/j.energy.2018.02.068