Results by title

Research in artificial intelligence has developed many techniques and methodologies that can be either adapted or used directly to solve complex power system problems. A variety of such problems are covered in this book including reactive power control, alarm analysis, fault diagnosis, protection systems and load forecasting. Methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms are all first introduced and then investigated in terms of their applicability in the power systems field. The book, therefore, serves as both an introduction to the use of artificial intelligence techniques for those from a power systems background and as an overview of the power systems implementation area for those from an artificial intelligence computing or control background. It is structured so that it is suitable for various levels of reader, covering basic principles as well as applications and case studies. The most popular methods and the most fruitful application fields are considered in more detail. The book contains contributions from top international authors and will be an extremely useful text for all those with an interest in the field.

The need to improve the reliability and robustness of power systems and smart grids makes protection of sensitive equipment and power transmission and distribution lines against lightning-related effects a primary concern. Renewable electricity generation capacity has been increasing all over the world, and lightning can cause failures either by hitting the turbines or panels directly or inducing transients on the control systems that lead to equipment failure, malfunction or degradation.

The need to improve the reliability and robustness of power systems and smart grids makes protection of sensitive equipment and power transmission and distribution lines against lightning-related effects a primary concern. Renewable electricity generation capacity has been increasing all over the world, and lightning can cause failures either by hitting the turbines or panels directly or inducing transients on the control systems that lead to equipment failure, malfunction or degradation.

The need to improve the reliability and robustness of power systems and smart grids makes protection of sensitive equipment and power transmission and distribution lines against lightning-related effects a primary concern. Renewable electricity generation capacity has been increasing all over the world, and lightning can cause failures either by hitting the turbines or panels directly or inducing transients on the control systems that lead to equipment failure, malfunction or degradation.

The need to improve the reliability and robustness of power systems and smart grids makes protection of sensitive equipment and power transmission and distribution lines against lightning-related effects a primary concern. Renewable electricity generation capacity has been increasing all over the world, and lightning can cause failures either by hitting the turbines or panels directly or inducing transients on the control systems that lead to equipment failure, malfunction or degradation.

With the integration of more distributed or aggregated renewables, and the wide utilization of power electronic devices, modern power systems are facing new stability and security challenges, such as the weakly damped oscillation caused by wind farms connected through long distance transmission lines, the frequency stability problem induced by the reduction of inertia and the voltage stability issue resulting from the interactions between transmission systems and dynamic loads.

Power systems need to be optimised for efficient use of resources and in order to meet stringent requirements for power quality and reliability. Algorithms exist and are in development for various tasks including sizing, voltage and frequency control, demand response, fault identification, and for specific situations and systems such as hybrid energy systems and hot climates. Especially in urban areas with high population densities, researchers and experts need to be abreast of R&D trends, both for energy systems for communities as well as for smart grid developments.

Power systems need to be optimised for efficient use of resources and in order to meet stringent requirements for power quality and reliability. Algorithms exist and are in development for various tasks including sizing, voltage and frequency control, demand response, fault identification, and for specific situations and systems such as hybrid energy systems and hot climates. Especially in urban areas with high population densities, researchers and experts need to be abreast of R&D trends, both for energy systems for communities as well as for smart grid developments.