MAI Power Systems

 MAI Renewable Energy

Modeling $ Testing

Modeling plays a crucial role in analyzing dynamic stability and enhancing performance. Regrettably, many manufacturers guard their models as prized intellectual property, leaving little in the way of detailed insights. Our team specializes in developing advanced MATLAB and PSCAD models that specifically meet the rigorous requirements set by grid operators. 

Data Colection & Analysis

In the ever-evolving landscape of renewable energy, innovation is key. Our team pioneers new solutions and technologies to drive the future of sustainable energy. Let’s shape a greener tomorrow together. We collect real data and produce synthetic data from developed models for optimization and training.

Optimization

We provide innovative solutions utilizing cutting-edge technologies to enhance renewable energy systems and optimize performance. Our team combines expertise in AI, modeling, and optimization to drive sustainable energy solutions for the future. 

AI $ Digital Twin

Utilizing the developed models to produce synthetic data, collected real data, and optimization results, we train deep networks. Based on the type of data and its attributes, we exploit and train CNN, GANs, and LSTM deep networks for intelligent decision-making. The virtual models, deep networks, and physical model/real data are synchronized to create a digital twin of the system. 

Distributed Generation

Renewable energy resources, micro-sources and battery energy storage systems are connected to the (micro) grids via power electronics interfaces so-called inverters.

N

Inverter-interfaced energy resources

N

Grid-connection stability analysis

N

Low-voltage ride-through

Autonomous Microgrids

The microgrid is an emerging technology that facilitates the integration of renewable resources into power systems, and definitely, would be the cornerstone of future/modern power systems

N

Energy management system

N

Dynamic performance and stability

Microgrids

Microgrid stability 

Modern power systems have been developing through high penetration of the power electronic-based renewable energy resources and distributed generation units into conventional power systems. Mixing up the power systems and the power electronics technologies along with the smart grid facilities, the microgrid concept has gained full attention for addressing the resiliency issue of modern power systems through autonomous operation capability. However, it is not an easy task to stabilize an autonomous microgrid due to the dominated inverter-interfaced generation units and complex power flow. 

N

Microgrid control and protection (MG-CAP)

N

Voltage and frequency control in autonomous mode

N

Inertia emulation and impedance shaping

N

Fault (low-voltage) ride-through transients

Sub-Consultancy

Intelligent inverter stability analysis tool to expedite grid-connection issues 

A grid-connected inverter may work at different operating modes like grid-feeding/forming/supporting modes. Besides, the inverter works under different operating conditions in a weak grid (with a high impedance), with a low X/R ratio, low voltage/faults ride-through, etc.  Consultant firms work with PSCAD/PSSE models, mostly generated by the manufacturers, to carry out the associated R0, R1 and R2 tests and obtain verification results. However, it is a time-consuming process to run tests at various operating points, particularly considering the encrypted models provided by the manufacturers, which demand a load of communications with the manufacturer/grid operator without achieving promising results. We provide the following services, particularly in the context of digital twin, to expedite issues with inverters

N

A generalized inverter Matlab/PSCAD model for grid-connection feasibility analysis

N

A reliable framework for testing the inverter in different operating modes and conditions

N

A compatible Matlab model based on the PSS/E *.dyr and PSCAD models

N

Intelligent process for automated parameter tuning under various operating points

N

Confident and reliable simulation-based reports to communicate with the grid operator

Leverage the power of MAI in your business to cope with technical problems you face that may put your business at risk. We in particular provide research-based (sub) consultancy services for consultant companies and investors willing to boost their assets in the technology sector

Contact

m.eskandari@unsw.edu.au

434969110

Sydney, Australia