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.
Inverter-interfaced energy resources
Grid-connection stability analysis
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
Energy management system
Dynamic performance and stability
Microgrids
Microgrid stability
The integration of power electronic-based renewable energy resources and distributed generation units into traditional power systems has significantly reshaped modern power grids. As the combination of power systems, power electronics technologies, and smart grid infrastructures becomes more prevalent, the microgrid concept has emerged as a key solution to address resilience challenges by enabling autonomous operation.
However, stabilizing an autonomous microgrid presents a complex challenge due to the dominance of inverter-interfaced generation units and intricate power flows. Achieving stability in such systems requires advanced control strategies and robust modeling techniques to effectively manage the dynamic behavior of inverter-based resources under varying operational conditions.
Microgrid control and protection (MG-CAP)
Voltage and frequency control in autonomous mode
Inertia emulation and impedance shaping
Fault (low-voltage) ride-through transients
Sub-Consultancy
Intelligent inverter stability analysis tool to expedite grid-connection issues
Grid-connected inverters play a critical role in modern energy systems, operating in diverse modes such as grid-feeding, grid-forming, and grid-supporting. They must also perform reliably under challenging conditions, including weak grid scenarios with high impedance, low X/R ratios, and during low voltage or fault events. Traditionally, consultant firms rely on PSCAD/PSSE models—often supplied by manufacturers—for R0, R1, and R2 tests to verify grid compliance. However, these processes can be slow, especially when encrypted models hinder the testing and analysis workflow.
Extensive communication with manufacturers and grid operators is frequently required, yet the results can be suboptimal. Accurate modeling and stability analysis are indispensable for ensuring a smooth connection process. These steps mitigate the risks of instability, protecting the credibility of stakeholders, consultant firms, installers, and other parties involved. Robust efforts in this domain not only streamline grid integration but also enhance reliability and preserve stakeholder reputations.
At MAI OptiTek, we specialize in delivering comprehensive modeling and testing solutions to guarantee the performance and stability of grid-connected inverters. Our AI-assisted approaches, powered by digital twin technology, revolutionize inverter testing and simulation processes. With our intelligent inverter stability analysis tools, we provide precise, actionable insights across a wide range of operating conditions, from weak grids to fault scenarios. These advanced solutions significantly reduce testing time and effort, ensuring smoother and faster grid connections without compromising on reliability.
Let us help you overcome these challenges with precision and innovation. At MAI OptiTek, we safeguard your projects, uphold stakeholder trust, and drive successful outcomes in collaboration with manufacturers, grid operators, and other partners.
A generalized inverter PSCAD/PSSE model for grid-connection feasibility analysis
Advanced testing solutions for R0, R1, and R2 verification
Development of PSCAD EMT models and compatible DLL files for seamless PSSE DYR dynamic simulations
Intelligent process for automated parameter tuning under various operating points
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
Company
Innovative Solutions
Cutting-Edge Technology
Smart Grid Integration
AI-Driven Insights
Efficient Energy Management
Autonomous Systems Development
Advanced Modeling Techniques
Reliable Stability Analysis
Tailored Consulting Services
Future-Proof Strategies