This book describes how dynamic state estimation application in wide-area measurement systems (WAMS) are crucial for power system reliability, to acquire precisely power system dynamics. The event trigger DSE techniques described by the authors provide a design balance between the communication rate and estimation performance, by selectively sending the innovational data. The discussion also includes practical problems for smart grid applications, such as the non-Gaussian process/measurement noise, packet dropout, computation burden of accurate DSE, robustness to the system variation, etc. Readers will learn how the event trigger DSE can facilitate the effective reduction of communication rates, with guaranteed accuracy under a variety of practical conditions in smart grid applications.
In the future, dynamic state estimation (DSE) will be an important function in monitoring and control of smart power grids. In this context, data communication networks and phasor measurement units (PMU) that are currently being deployed in smart power grids, will play a major role. However, very high data rates of PMUs will necessitate event-triggered multi-area state estimation (MASE) to ease the burden on the communication networks. In MASE, a large power grid is divided into sectors and local state estimates of each sector are communicated to a monitoring center for fusion and decision making. Traditional DSE algorithms such as Kalman filter (KF) are not well suited for event-triggered state estimation and new approaches will be required. The goal of this thesis is to investigate the applicability of a lesser-known class of algorithms known as set membership (SM) filtering to MASE. These algorithms have the important property known as data selective update. In the context of MASE, this property will allow the communication of sector-based estimates to the fusion center, only when the measurements observed by sensors within a sector are informative, that is, indicative of the existence of an abnormality such as a fault condition. The contribution of this thesis consists of two parts. In the first part, a simple to implement SM algorithm incorporating data-selective updates is presented in detailed, and it's properties are investigated through a numerical study. It is shown that, despite sparse updates, the estimation accuracy of the SM algorithm is comparable to the traditional extended KF (EKF) algorithm. In the second part, a comprehensive case study involving event-triggered state estimation in a single machine infinite bus system with a synchronous machine is presented. The simulation results show that, except during transient and fault conditions, the SM algorithm presented in this thesis rarely performs complete state updates, thus saving communication burden in a MASE context. The estimation accuracy, however, remains comparable with the EKF. As an important avenue for future research, methods of robust initialization of the SM algorithm is identified. It is shown that improper initialization can affect the ability of the SM algorithm to respond to fault conditions.
Robust Dynamic State Estimation of Power Systems demonstrates how to implement and apply robust dynamic state estimators to problems in modern power systems, thereby bridging the literatures of dynamic state estimation and robust estimation theory. The book presents Kalman filter algorithms, demonstrating how to build powerful, robust counterparts. Following sections build out case study-based implementations of robust Kalman filters to decontextualized applications across dynamic state estimation in power systems. Coverage encompasses theoretical backgrounds, motivations, problem formulation, implementations, uncertainties, anomalies and practical applications, such as generator parameter calibration, unknown inputs estimation, control failure detection, protection, and cyberattack detection. Future research topics are identified and discussed, including open research questions. The book will serve as a key reference for power system real-time monitoring, control center engineers, and graduate students for learning (course related work) and research. Elucidates theoretical motivations, definitions, formulations, and robustness enhancement Engages with emerging practical problems in the application of dynamic state estimation through case studies Provides a roadmap for the transition of DSE concepts to practical implementations and applications Develops advanced robust statistics theory and uncertainty management methods
Wide area monitoring, protection and control systems (WAMPACs) have been recognized as the most promising enabling technologies to meet challenges of modern electric power transmission systems, where reliability, economics, environmental and other social objectives must be balanced to optimize the grid assets and satisfy growing electrical demand. To this aim WAMPAC requires precise phasor and frequency information, which are acquired by deploying multiple time synchronized sensors, known as Phasor Measurement Units (PMUs), providing precise synchronized information about voltage and current phasors, frequency and rate-of-change-of-frequency.
The book is written as primer hand book for addressing the fundamentals of smart grid. It provides the working definition the functions, the design criteria and the tools and techniques and technology needed for building smart grid. The book is needed to provide a working guideline in the design, analysis and development of Smart Grid. It incorporates all the essential factors of Smart Grid appropriate for enabling the performance and capability of the power system. There are no comparable books which provide information on the “how to” of the design and analysis. The book provides a fundamental discussion on the motivation for the smart grid development, the working definition and the tools for analysis and development of the Smart Grid. Standards and requirements needed for designing new devices, systems and products are discussed; the automation and computational techniques need to ensure that the Smart Grid guarantees adaptability, foresight alongside capability of handling new systems and components are discussed. The interoperability of different renewable energy sources are included to ensure that there will be minimum changes in the existing legacy system. Overall the book evaluates different options of computational intelligence, communication technology and decision support system to design various aspects of Smart Grid. Strategies for demonstration of Smart Grid schemes on selected problems are presented.
The power system has often been cited as the greatest and most complex machine ever built, yet it is predominantly a mechanical system. Technologies and intelligent systems are now available that can significantly enhance the overall functionality of power distribution and make it ready to meet the needs of the 21st century. This book explains how sensors, communications technologies, computational ability, control, and feedback mechanisms can be effectively combined to create this new, continually adjusting "smart grid" system. It provides an understanding of both IntelliGridSM architecture and EnergyPortSM as well as how to integrate intelligent systems to achieve the goals of reliability, cost containment, energy efficiency in power production and delivery, and end-use energy efficiency.
This book provides an account of the field of synchronized Phasor Measurement technology, its beginning, its technology and its principal applications. It covers wide Area Measurements (WAM) and their applications. The measurements are done using GPS systems and eventually will replace the existing technology. The authors created the field about twenty years ago and most of the installations planned or now in existence around the world are based on their work.
A major concern of island power systems is frequency stability. A power system is said to be frequency stable if its generators are able to supply their loads at a frequency within acceptable limits after a disturbance. Frequency instability occurs if load-generation imbalances are not corrected in appropriate manner and time. Since island power systems are more sensitive to frequency instability than large ones due to the smaller number of generators online and the lower inertia, they require a larger amount of primary reserve per generator. This book provides a worldwide overview of island power systems, describing their main features and issues. Split into two parts, the first part examines the technical operation, and in particular, frequency stability of island power systems and its technical solutions, including more efficient underfrequency load-shedding schemes. The chapters explore both conventional and advanced load-shedding schemes and consider the improvement of these schemes by making them more robust and efficient. Advanced devices are modelled and analyzed to enhance frequency stability and reduce the need for load shedding. In the second part, the economic operation of island power systems is explored in detail. For that purpose, regulations and economic operations (centralized vs. market scheme) are reviewed by the authors. The authors discuss models for renewable energy sources and for advanced devices and systems such as demand-side management, energy storage systems, and electric vehicles. This book will be critical reading to all researchers and professionals in power system planning and engineering, electrical/power delivery, RES and control engineering. It will also be of interest to researchers in signal processing and telecommunications and renewable energy, as well as power system utility providers.
The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network
What exactly is smart grid? Why is it receiving so much attention? What are utilities, vendors, and regulators doing about it? Answering these questions and more, Smart Grids: Infrastructure, Technology, and Solutions gives readers a clearer understanding of the drivers and infrastructure of one of the most talked-about topics in the electric utility market—smart grid. This book brings together the knowledge and views of a vast array of experts and leaders in their respective fields. Key Features Describes the impetus for change in the electric utility industry Discusses the business drivers, benefits, and market outlook of the smart grid initiative Examines the technical framework of enabling technologies and smart solutions Identifies the role of technology developments and coordinated standards in smart grid, including various initiatives and organizations helping to drive the smart grid effort Presents both current technologies and forward-looking ideas on new technologies Discusses barriers and critical factors for a successful smart grid from a utility, regulatory, and consumer perspective Summarizes recent smart grid initiatives around the world Discusses the outlook of the drivers and technologies for the next-generation smart grid Smart grid is defined not in terms of what it is, but what it achieves and the benefits it brings to the utility, consumer, society, and environment. Exploring the current situation and future challenges, the book provides a global perspective on how the smart grid integrates twenty-first-century technology with the twentieth-century power grid. CRC Press Authors Speak Stuart Borlase speaks about his book. Watch the video
