Computational Intelligence Applications in Smart Grids

Enabling Methodologies for Proactive and Self-Organizing Power Systems

This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids.

From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response).

In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility.

Contents:

• Wide-Area Monitoring, Protection and Control Needs, Applications, and Benefits (Vahid Madani, Damir Novosel and Roger King)
• A MINLP Approach for Network Reconfiguration and Dispatch in Distribution Systems (Sergio Bruno and Massimo La Scala)
• Multi-Objective Optimization Methods for Solving the Economic Emission Dispatch Problem (Balusu Srinivasa Rao and Kanchapogu Vaisakh)
• Voltage Security Assessment and Optimal Load Shedding Using the CBR Approach (Narayan Prasad Patidar)
• A Novel State Estimation Paradigm Based on Artificial Dynamic Models (Francesco Torelli and Alfredo Vaccaro)
• Improving Voltage Regulation in Smart Grids through Adaptive Fuzzy Agents (Giovanni Acampora and Autilia Vitiello)
• Smart Metering (Daniele Gallo, Carmine Landi, Marco Landi and Mario Luiso)

Readership: Graduate students and researchers interested in smart grids and advanced power networks.
Key Features:

• This book will address many relevant topics ranging from methods for balancing resources to various control and security aspects. It not only focuses on technological breakthroughs and roadmaps in implementing the technology, but also presents the much-needed sharing of best practices
• It will integrate scientific contributions developed by highly qualified international experts very active in the fields of power systems management and computational intelligence
• It will present and discuss various case studies aimed at assessing the benefits deriving from the application of the proposed methodologies on real power systems