Control of a SMES for mitigating subsynchronous oscillations in power systems: A PBC-PI approach
This paper proposes a methodology to control the active and reactive power of a superconducting magnetic energy storage (SMES) system to alleviate subsynchronous oscillations (SSO) in power systems with series compensated transmission lines. Primary frequency and voltage control are employed to calc...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8852
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8852
- Palabra clave:
- Particle swarm optimization
Proportional-integral passivity-based control
Subsynchronous oscillation
Superconducting magnetic energy storage
Benchmarking
Controllers
Electric energy storage
Electric power transmission
Feedback linearization
Magnetic storage
Particle swarm optimization (PSO)
Reactive power
Robustness (control systems)
Superconducting magnets
Two term control systems
Active and Reactive Power
Operating condition
Passivity based control
Primary frequencies
Series compensated transmission lines
Sub-synchronous oscillations
Superconducting magnetic energy storage system
Superconducting magnetic energy storages
Electric power system control
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | This paper proposes a methodology to control the active and reactive power of a superconducting magnetic energy storage (SMES) system to alleviate subsynchronous oscillations (SSO) in power systems with series compensated transmission lines. Primary frequency and voltage control are employed to calculate the active and reactive power reference values for the SMES system, and these gains are calculated with a particle swarm optimization (PSO) algorithm. The proposed methodology is assessed with a classical PI controller, feedback linearization (FL) controller and a passivity-based PI control (PI-PBC). Operating limits for VSC are also considered, which gives priority to active power over reactive power. The IEEE Second Benchmark model is employed to demonstrate the assessment of the proposed methodology where PI-PBC presents better performance than the classical PI and FL controllers in all the operating conditions considered. © 2018 Elsevier Ltd |
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