Power Generation and Transmission Equipment

Concern for the environment and dwindling availability of fossil fuels are driving power generation equipment manufacturers to invest in new technologies such as wind power and solar power generation. These technologies bring new levels of complexity both to generation and transmission equipment suppliers. The traditional power grid is rapidly evolving into a smart grid of providers and user/providers. Ensuring the reliability of the power grid is putting more burdens on equipment suppliers to develop innovative systems relying on high-power electronics to control the safe operation of the equipment.

Model-Based Design helps equipment makers model and simulate electrical, electromechanical, chemical, and other domains to develop the control and signal processing algorithms needed to ensure the safe and reliable operation of the world’s growing power demands. From the leading wind turbine manufacturers to companies developing ultra-high voltage transmission equipment, engineers turn to The MathWorks to provide the software that helps them design, test, and implement the embedded systems in their products.

Model-Based Design for Embedded Control Systems

Use Model-Based Design for Designing and Implementing Wind Turbine Control Algorithms

Wind turbines are a complex interaction of mechanical and electrical systems designed to extract steady electrical power from a continuously varying source – the wind. Controlling the speed of the turbine involves continuous blade pitch control both to produce maximum power and to maintain the turbine within in proper operating limits under varying wind loads. Model-Based Design helps wind turbine designers develop the necessary blade pitch control algorithms using desktop electromechanical simulation models to test the compensator strategy under operating conditions that cannot be easily verified in field conditions. Automatic C code generation from the models lets engineers perform real-time testing of the control algorithms and deploy the control algorithms to the actual controller hardware.

Improve Fuel Cell Control Systems and Reduce Development Time Using Simulation

Fuel cell power has become a viable green energy alternative to traditional fossil fuel based backup power. The complexity of controlling the chemical reactions and regulating electrical output present new challenges for control system engineers developing fuel cell control systems. MathWorks software helps engineers model chemical and electrical systems and develop the algorithms needed to regulate the power system at the proper operating conditions for maximum electrical output.