A Comprehensive Approach To Implement Monitoring And State Estimation In Distribution Grids With A Low Number Of Measurements
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| Author | : Jan-Hendrik Menke |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 194 |
| Release | : 2020-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3737608725 |
This work addresses the monitoring and state estimation of electrical grids, especially at the distribution level. For economic and technical reasons, grid monitoring cannot be implemented with a similarly high measurement density as in transmission grids. Two new monitoring methods, which are designed for low measurement density, are therefore presented for use in real-time grid operation. First, a heuristic monitoring method is presented, which does not require pseudo-measurements and estimates voltage magnitudes and line loadings. Second, a monitoring method based on artificial neural networks is presented. With appropriate training, the method can estimate grid variables, e.g., voltage magnitudes or line loadings, with high accuracy. The methods are tested on thousands of test scenarios using a comprehensive evaluation methodology. For measurement infrastructure planning, a concept is presented to determine suitable measurement locations for the use of one of the monitoring methods. After optimization, several possible measurement configurations are presented with their average and maximum errors and the projected capital expenditures.
| Author | : Elias Kyriakides |
| Publisher | : Springer |
| Total Pages | : 368 |
| Release | : 2014-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3662441608 |
This book describes the challenges that critical infrastructure systems face, and presents state of the art solutions to address them. How can we design intelligent systems or intelligent agents that can make appropriate real-time decisions in the management of such large-scale, complex systems? What are the primary challenges for critical infrastructure systems? The book also provides readers with the relevant information to recognize how important infrastructures are, and their role in connection with a society’s economy, security and prosperity. It goes on to describe state-of-the-art solutions to address these points, including new methodologies and instrumentation tools (e.g. embedded software and intelligent algorithms) for transforming and optimizing target infrastructures. The book is the most comprehensive resource to date for professionals in both the private and public sectors, while also offering an essential guide for students and researchers in the areas of modeling and analysis of critical infrastructure systems, monitoring, control, risk/impact evaluation, fault diagnosis, fault-tolerant control, and infrastructure dependencies/interdependencies. The importance of the research presented in the book is reflected in the fact that currently, for the first time in human history, more people live in cities than in rural areas, and that, by 2050, roughly 70% of the world’s total population is expected to live in cities.
| Author | : Mohamed E. El-Hawary |
| Publisher | : John Wiley & Sons |
| Total Pages | : 512 |
| Release | : 2021-03-03 |
| Genre | : Science |
| ISBN | : 1119480469 |
A guide to the role of static state estimation in the mitigation of potential system failures With contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide. This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and: Offers an introduction to the topic to help non-experts (and professionals) get up-to-date on static state estimation Covers the essential information needed to understand power system state estimation written by experts on the subject Discusses a mathematical programming approach Written for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.
| Author | : Vassilis S. Kodogiannis |
| Publisher | : MDPI |
| Total Pages | : 116 |
| Release | : 2019-11-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3039217607 |
Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.
| Author | : Antonio Cataliotti |
| Publisher | : MDPI |
| Total Pages | : 128 |
| Release | : 2021-03-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3036504702 |
The book is a collection of manuscripts proposing original and innovative solutions for accurate distributed monitoring systems, related innovative measurement instruments, distribution grid state forecast algorithms, power flow analysis, frequency and voltage control for stability and quality of service of active networks with distributed generation, and communication systems to acquire distributed measurement data, send commands and receive alarms. The introduction of these innovative solutions can pave the way for the effective transformation of MV and LV distribution networks into smart grids. The book aims to provide readers, Ph.D. students as well as research personnel and professional engineers with information not only on theoretical studies of the recent developments but also the practical application of the proposed solutions for smart grid applications both in LV and MV networks.
| Author | : Sanjeevikumar Padmanaban |
| Publisher | : Elsevier |
| Total Pages | : 348 |
| Release | : 2023-10-24 |
| Genre | : Technology & Engineering |
| ISBN | : 0443155798 |
Power Systems Operation with 100% Renewable Energy Sources combines fundamental concepts of renewable energy integration into power systems with real-world case studies to bridge the gap between theory and implementation. The book examines the challenges and solutions for renewable energy integration into the transmission and distribution grids, and also provides information on design, analysis and operation. Starting with an introduction to renewable energy sources and bulk power systems, including policies and frameworks for grid upgradation, the book then provides forecasting, modeling and analysis techniques for renewable energy sources. Subsequent chapters discuss grid code requirements and compliance, before presenting a detailed break down of solar and wind integration into power systems. Other topics such as voltage control and optimization, power quality enhancement, and stability control are also considered. Filled with case studies, applications and techniques, Power Systems Operation with 100% Renewable Energy Sources is a valuable read to researchers, students and engineers working towards more sustainable power systems. - Explains Volt/Var control and optimization for both transmission grid and distribution - Discusses renewable energy integration into the weak grid system, along with its challenges, examples, and case studies - Offers simulation examples of renewable energy integration studies that readers will perform using advanced simulation tools - Presents recent trends like energy storage systems and demand responses for improving stability and reliability
| Author | : Emilio Barocio Espejo |
| Publisher | : Elsevier |
| Total Pages | : 356 |
| Release | : 2023-01-11 |
| Genre | : Technology & Engineering |
| ISBN | : 0323984045 |
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms. - Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems - Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms - Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub
| Author | : Veera Raju Vinnakota |
| Publisher | : Springer Nature |
| Total Pages | : 626 |
| Release | : |
| Genre | : |
| ISBN | : 3031628675 |
| Author | : Urban Kuhar |
| Publisher | : Springer Nature |
| Total Pages | : 121 |
| Release | : 2020-02-04 |
| Genre | : Technology & Engineering |
| ISBN | : 303039476X |
This book develops, implements and thoroughly evaluates a three-phase distribution system state estimation (DSSE) model. It gathers all relevant state-of-the-art knowledge and provides the missing pieces to offer readers a complete picture of several essential design and implementation factors and ways to address them. The book presents a three-phase branch model that allows of conductors, transformers, tap changers, and voltage regulators to be modelled. Its main features include: • modelling of all major power distribution components; • sensitivity analysis; and • numerical solution to the estimation problem. This book presents a focused account of three-phase DSSE, making it of interest to postgraduate students, researchers and engineers in the field of power systems and distribution systems.
| Author | : Tao Huang |
| Publisher | : Frontiers Media SA |
| Total Pages | : 202 |
| Release | : 2022-07-07 |
| Genre | : Technology & Engineering |
| ISBN | : 2889765407 |
