PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle

Table 1

Comparison of the existing work with the proposed work.

Reference	System	Energy management method	Control	Remarks
[26]	Hybrid vehicles	Fuzzy logic	Voltage and power control	The system has more oscillation during sudden change in operating conditions due to complex fuzzy rule; system may go for unstable state.
[27]	Hybrid AC/DC microgrid	Artificial neural network	Voltage and power control	It requires huge number of samples to train the model and control the system, and it will make system control more complex.
[28]	Hybrid AC/DC microgrid	Adaptive neural network and fuzzy logic-based system	Voltage and power control	System goes to unstable state due to online adaptive control of neural network and fuzzy system.
[29]	Grid-connected hybrid system integrating renewable energies	Adaptive neurofuzzy system	Voltage and power control	The necessity for a large quantity of samples to train the model and manage the system adds complexity to the control process.
Proposed method	Hybrid AC/DC microgrid along with plugin electric vehicle	PSO-ANFIS	Voltage and power control	It requires a smaller number of samples to train the model due to PSO and power sharing effectively controlled among renewable energy and plugin EV.