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, PSSE, 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, LSTM, GPTs and SS 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, including localized advanced control and optimization strategies, that facilitates the integration of renewable resources into power systems. Microgrids would be the cornerstone for future power systems and the key to resilient intelligent grids.
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
Consultancy
Intelligent inverter stability analysis tool to expedite grid-connection issues
Grid-connected inverters are essential to modern energy systems, operating in grid-feeding, grid-forming, and grid-supporting modes. These inverters must perform reliably even under challenging weak grid conditions, such as low inertia, high impedance, low short-circuit ratio (SCR), low X/R, and extreme voltage fluctuations during fault events.
Traditionally, consulting firms rely on PSCAD and PSS®E models, typically provided by manufacturers, to conduct Dynamic Model Acceptance Tests (DMAT) and validate Generator Performance Standards (GPS) as part of the R0, R1, and R2 registration process. However, these processes can be slow and inefficient—especially when encrypted models limit in-depth testing and analysis.
Effective communication with original equipment manufacturers (OEMs), network service providers (NSPs), and grid operators is crucial for a successful connection process. However, navigating these interactions can be complex, often yielding suboptimal results. Adding to the challenge, National Electricity Rules (NER) and grid codes frequently change with little notice, requiring continuous adaptation. Accurate modeling and stability analysis are essential to ensuring a smooth and compliant grid connection, minimizing risks of instability. By prioritizing robust modeling and compliance strategies, stakeholders—including consultants, installers, and developers—can streamline grid integration, enhance system reliability, and safeguard their professional credibility.
At MAI OptiTek, we specialize in delivering comprehensive modeling and advanced 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 for accelerated DMAT and GPS testing. With our intelligent inverter stability analysis tools, we provide precise, actionable insights across a wide range of operating conditions, from feasibility analysis to weak grid connection and 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