Proceedings of the Tenth Power Systems Computation Conference

The articles in this volume cover power system model reduction, transient and voltage stability, nonlinear control, robust stability, computation and optimization and have been written by some of the leading researchers in these areas. This book should be of interest to power and control engineers, and applied mathematicians.

Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

This book offers a comprehensive assessment of the stability of modern power systems through advanced nonlinear analysis frameworks. It addresses the new challenges to power system stability posed by the anticipated integration of numerous power-electronic-interfaced devices needed to support renewable energy generation. Given the diverse operational timescales associated with controllers for power-electronic-interfaced devices, these devices can have an impact on a wide range of dynamic phenomena, thereby significantly influencing the system's dynamic performance and stability. The methodologies presented effectively manage the significant changes in system dynamics introduced by these devices. This research utilizes nonlinear methodologies, specifically bifurcation theory, to analyse various stability types in such power-electronic-rich systems. The book adopts a bifurcation-based methodology to evaluate power system stability through detailed examination of each type of instability mechanism. The methodology developed is extended to explore the interactions between multiple types of system stability considering the impacts of different voltage-source-converter controllers and grid strengths. Finally, to reduce the high computational burden imposed by the proposed methodology, a hybrid network model is developed to assess the system stability efficiently. Stability Assessment of Power Systems with Multiple Voltage Source Converters is of interest to students, researchers, and industry professionals in the field of electrical engineering.