Modelling and voltage control of the solar-wind hybrid micro-grid with optimized STATCOM using GA and BFA

• Main Authors: Hale Bakir, Ahmet Afsin Kulaksiz
• Format: Article
• Language: English
• Published: Elsevier 2020-06-01
• Series: Engineering Science and Technology, an International Journal
• Subjects: Voltage control; Bacteria foraging algorithm; PV-wind hybrid system; Static synchronous compensator; Genetic algorithm
• Online Access: http://www.sciencedirect.com/science/article/pii/S2215098619309334

Electricity generation from the wind and solar photovoltaic (PV) systems are highly dependent upon weather conditions. Their intermittent nature leads to fluctuations in their output. Therefore, the need for rapid compensation for energy transmission and distribution systems is increasingly important. Static Synchronous Compensator (STATCOM) can be adopted for reactive power compensation and for decreasing the voltage fluctuation caused by the system and renewable energy sources. This study presents modelling of a Solar PV-Wind Hybrid Micro-grid and the increase of the stable operating limit of the system in case of the incorporation of STATCOM is examined. The major contribution of this paper is the optimization of gain parameters of four PI controllers in STATCOM control circuit based on genetic algorithms (GA) and Bacteria Foraging Algorithm (BFA) and therefore obtaining better responses and voltage stability in terms of nonlinear nature of solar-wind hybrid micro-grid. The Simulink models of the system architecture include a wind turbine model, a solar PV power system model and a STATCOM. It is certified that the voltage fluctuation at the end of the bus bar is reduced by 8% using conventional PI controller, by 10% for GA-based PI controller, and by 15% for BFA based PI controller under variable load. The results obtained by GA and BFA-based optimization of PI controllers are compared with that of the conventional controller and better results attained.