Application of Fuzzy Logic in the Operation of a V2G System in the Smart Grid

The rise in environmental concerns worldwide has led governments and organizations to look for sustainable technologies. The transportation sector is a major contributor to environmental pollution. Hence, electric vehicles for transportation are considered a technology that can reduce harmful emissions to the environment. EVs’ contribution is not just limited to reducing environmental degradation. EVs provide various other services such as distributed generation, voltage and frequency regulation, and many more, as reported in the literature. V2G technology can help to reap the full benefits of EVs. The book chapter will describe the V2G system and its integration with the smart grid using the fuzzy logic-based controller and the supporting entities. The controller of the V2G system is required to be robust and intelligent. The fuzzy logic controller fits the criteria of being used in the V2G system and has been implemented and tested successfully in various reported works in the literature. The design of a fuzzy logic controller and considerations for selecting the type and number of membership functions will be discussed in this chapter. The chapter will present the hybridization of the controller using artificial intelligence techniques and supporting algorithms. Further, the challenges in the real-time implementation of fuzzy logic-based controllers complying with the smart grid challenges will also be discussed. A detailed example of designing a V2G controller using fuzzy logic is presented, which will help the readers understand its design and deployment challenges. The designed fuzzy logic controller demonstrates its effectiveness in the robust and smart operation of a V2G system. Each section of the chapter is planned to give readers a detailed insight into developing a V2G system with a fuzzy logic controller and its entities.