Power Frequency Balance in Multi-Generation Smart Grid Systems with V2G option.

Hitesh Datt Mathur (1) , Houria Siguerdidjane (2) , Yogesh Krishan Bhateshvar (1)

1 BITS Pilani - Birla Institute of Technology and Science
2 L2S - Laboratoire des signaux et systèmes

In smart grid scenario, penetration of large scale renewable energy sources are increasing rapidly. This causes uncertainty among various power system parameters, mainly frequency in interconnected power system. When automatic generation control (AGC) is not sufficient to manage balance between demand and supply, battery energy storage is considered a viable option for short term active power support in order to bring frequency back to normal. In energy storage possibilities, super conducting magnetic energy storage, ultra-capacitor etc. are primarily discussed. This paper focuses on integrated model of vehicle to grid (V2G) and wind power as an alternative to supply instant power to regulate frequency when system is subjected to sudden perturbation. GA (Genetic algorithm) optimized fuzzy logic controller is used to intelligently suppress frequency and tie-line power oscillations. Results obtained are comprehensively presented and discussed in achieving power-frequency balance. MATLAB/Simulink is used for the simulation purpose.

Mots clés: Automatic Generation Control; Genetic Algorithm; Vehicle to Grid; Wind Power; Fuzzy Logic Controller

Domaines: Sciences de l'ingénieur [physics]; Automatique / Robotique

Hitesh Datt Mathur, Houria Siguerdidjane, Yogesh Krishan Bhateshvar. Power Frequency Balance in Multi-Generation Smart Grid Systems with V2G option.. 12th IEEE India International Conference INDECON 2015, Dec 2015, New Delhi, India. ⟨10.1109/INDICON.2015.7443686⟩. ⟨hal-01258654⟩