Research Article
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. |
|
|