Modified Salp Swarm Algorithm-Optimized Fractional-Order Adaptive Fuzzy PID Controller for Frequency Regulation of Hybrid Power System with Electric Vehicle
| Autor: | Sidhartha Panda, Debidasi Mohanty |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Wind power
business.industry Computer science 020209 energy 020208 electrical & electronic engineering Automatic frequency control Energy Engineering and Power Technology Particle swarm optimization PID controller 02 engineering and technology Computer Science Applications Electric power system Control and Systems Engineering Control theory Distributed generation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Hybrid power business |
| Zdroj: | Journal of Control, Automation and Electrical Systems. 32:416-438 |
| ISSN: | 2195-3899 2195-3880 |
| DOI: | 10.1007/s40313-020-00683-9 |
| Popis: | A considerable no. of intermittent renewable sources such as PV generation and wind energy when integrated to the conventional grid technology causes serious issues in the power systems like frequency instability. So a more balancing controller is desired for a stable and reliable operation of the power system. Bidirectional power control of the EV aggregator is making itself a wise choice for distributed energy storage to scale down the frequency and power fluctuation. In this work, an intelligent load frequency controller using a fractional-order adaptive fuzzy PID controller with filter (FOAFPIDF) for hybrid power system with electric vehicle (EV) based on modified salp swarm algorithm (MSSA) technique is proposed. The effectiveness of MSSA technique is compared with original salp swarm algorithm as well as moth flame optimization , grey wolf optimization , particle swarm optimization and sine cosine algorithm techniques for benchmark test functions using statistical analysis. The effectiveness of the suggested load frequency control strategy by the use of electric vehicle as well as with other energy storing elements such as the superconducting magnetic energy storage component, flywheel energy storage system and ultra-capacitor along with their inherent rate constraint nonlinearity is validated by numerical simulations conducted on the studied test system. It is demonstrated that the proposed controller provides a better control action to suppress the frequency fluctuations as compared to PID controller. The robustness of the controller is also investigated against variation of system parameters and random load changes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink