A Novel Predictive Fuzzy Logic-Based Energy Management System for Grid-Connected and Off-Grid Operation of Residential Smart Microgrids

Abstract

In this paper, a novel energy management system with two operating horizons is proposed for a residential micro-grid application. The micro-grid utilises the energies of a photovoltaic (PV), a fuel cell and a battery bank to supply the local loads through a combination of electric and magnetic buses. The proposed micro-grid operates in a large number of grid-connected and off-grid operation modes. The energy management system includes a long-term data prediction unit based on a 2D dynamic programming and a short-term fuzzy controller. The long-term prediction unit is designed to determine the appropriate variation range of the battery state of charge and fuel cell state of hydrogen. The efficiency performance of the micro-grid components, predicted energy generation and demand, energy cost and the system constraints are taken into account. The resultant data then is sent to the short-term fuzzy controller which determines the operation mode of the micro-grid based on the real-time condition of the micro-grid elements. A prototype of the proposed micro-grid including the energy management system is developed, and experimental tests are conducted for three different energy management scenarios. The proposed management technique is validated through energy distribution and cost analysis.

Development of a Control Platform for a Building-Scale Hybrid Solar PV-Natural Gas Microgrid

“…Utilizing the implemented control platform in this work to execute a similar control scheme adds the value of also including a natural gas-powered microturbine. The approach presented in [80] where two different horizons were considered for optimization is applicable to the next phase of this work as prediction based on the long-term horizon can be applied to the battery state of charge and a fuzzy-based approach can be used in the short-term horizon. Also, electric vehicle charging facilities, planned for installation when additional funding is secured, can be utilized as a DER and be dispatched in the optimizer layer to participate in grid ancillary services, as an advanced version of a setup tested in a Building automation systems (BAS) can be fine-tuned to optimize their participation in energy and ancillary services such as frequency regulation and demand response.…”

A prediction‐based optimization strategy to balance the use of diesel generator and emergency battery in the microgrid

“…The highlight of the controller was to minimize the grid power profile fluctuations while keeping the battery charge within secure limits. Another paper considered a novel predictive fuzzy logic‐based EMS with a long‐term data prediction unit based on a 2D dynamic programming and a short‐term fuzzy controller In recent years, research has taken a new direction to apply the theory and technology of artificial intelligence to EMS.…”

Comparative analysis of DC to AC conversion cells for application in PV‐linked grid‐connected modular multi‐level cascaded converters

“…However, some other dc–ac conversion cells that are feasible for MAB converter application are suggested in [16]. The most common topologies employed for this application are FB [17], half‐bridge (HB) [18], current‐fed half‐bridge (CFHB) [19] and current‐fed full‐bridge (CFFB) [20]. A CFHB conversion cell is proposed in [21] for high power PV‐linked converters to reduce the size and cost of the system.…”

“…However, start‐up circuits are required to control the converter at the starting time as the duty cycle in this topology can never be <50% [4]. A topology of PV‐linked MMC based on the DAB converter is proposed in [20]. However, the topology can be further simplified by combining the DAB converters into the MAB configuration as suggested in this paper.…”