Nanogrid Power Management Based on Fuzzy Logic Controller

TL;DR

This paper proposes a fuzzy logic-based supervisory controller for nanogrid power management that optimizes PV and EV battery usage, reduces costs, and maintains stable power flow in islanded household settings.

Contribution

It introduces a novel fuzzy logic control strategy for EV battery utilization to replace auxiliary turbines and improve nanogrid efficiency.

Findings

Fuzzy logic controller effectively manages power flow in the nanogrid.

Simulation results demonstrate improved energy utilization and stability.

Controller maintains battery and system limits under various conditions.

Abstract

The transport industry is undergoing unprecedented technological change. In the automotive sector, the voices of progress are, among other things, linked to the partial or total electrification of vehicles. Thanks to bi-directional charging technology, electric vehicles (EV) could significantly improve their homeowners' energy balance. For islanded household buildings where a supplementary turbine generator and photovoltaic (PV) generator are the main supplies, it is crucial to minimize the running costs and maximize the use of the PV power. In this paper, a supervisory controller based on fuzzy logic is proposed to utilize the battery in the EV, while parking, as an interactive element to replace the auxiliary turbine and to assure that the battery power and energy do not exceed their design limits and maintaining a stable power flow. The nanogrid considered in this paper consists of a PV, EV battery, load and a turbine supplementary unit. The fuzzy logic controller alters the AC bus frequency, which is used by the local controllers of the parallel units to curtail the power generated by the PV or to supplement the power from the turbine unit. The proposed FLC performance is verified by Matlab simulation.