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Enhancing Reliability in Distribution Networks presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. This book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks. Packed with practical steps and tools for implementing the latest technologies, Enhancing Reliability in Distribution Networks provides researchers and industry professionals with guidance on the resilient systems of the future. Equips readers with the knowledge and tools to maximize resilience in modern renewable-integrated distribution systemsBreaks down novel methodologies and tools from deep learning to generative adversarial networksSupports readers in implementing practical steps towards resilient renewable energy
