Hierarchical Power Systems Optimal Operation Using Grid Flexibilities

This book explains the power grid as a hierarchy made up of the transmission, distribution, and microgrid levels. Interfaces among these levels are explored to show how flexibility in power demand associated with residential batteries can be communicated through the entire grid to facilitate optimal power flow computations within the transmission grid. To realize this approach, the authors combine semi-definite optimal power flow with model-order reduction at the distribution level and with a new heuristic algorithm for stable power flow at the transmission level. To demonstrate its use, a numerical case study based on modified IEEE 9-bus and 33-bus systems for the transmission and distribution grid, respectively, is included. This book shows how exploiting the flexibility on the residential level improves the performance of the power flow with the transmission grid.

This thesis is about the design and the implementation of a resilient grid operation for the distribution grid. This research question is induced by the advancing of three trends: Decarbonisation, decentralisation and digitalisation. These three trends transform the hitherto passive distribution grid into an active system that contains an active operation. The term “resilience” describes capabilities of the system to absorb, to adapt, and to recover from faults and disturbances. This concept is realised on the one hand with the choice of the operation architecture, on the other hand for the choice of possible methods and functions. This thesis develops a distributed-hierarchical operation architecture. For this architecture several methods have been developed that optimally benefit from the operation architecture and that allow the fully automated operation of the distribution grid. For that purpose a heuristic optimisation has been developed to solve problems like voltage profile violations and congestions. Another important method, especially with regard to resilience, is the self-healing capability to resupply clients after permanent faults.

Power System Flexibility provides a consolidated foundation in the design, planning, and operation of intermittent highly renewable power systems—integrating core theory, mathematical analysis, and modern international applications in an unusually multidisciplinary approach. Opening with an expansive theoretical grounding in the definition, analysis, and modeling of power systems, the book demonstrates how to apply flexibility theory to critical problems involving intermittency and variability in power system planning and operation. The guide concludes with an international complement of case studies, demonstrating how flexibility theory has been applied to real-world projects of increasing complexity. Integrates underlying scientific foundations with modern methods in the planning and operation of flexible power systems Demonstrates how to design, plan, operationalize, and optimize flexible solutions across the full range of power generation, electrical grids, energy demand, and energy storage applications Includes an international complement of real-world case studies focusing on delivering flexibility in highly renewable electricity systems

This book provides a detailed description of the flexibility of the power system with high share of variable renewable generation, including power system flexibility modeling, flexibility-based economic dispatch, demand side flexibility response, large-scale distributed flexible resources aggregation and market design for enhancing the flexibility of the power system, etc. The book provides an appropriate blend of theoretical background and practical applications of the power system flexibility, which are developed as working algorithms, coded in MATLAB and GAMS environments. This feature strengthens the usefulness of the book for graduate students and practitioners. Students will gain an insightful understanding of the flexibility of the power system with high share of renewables integration, including: (1) the formulation of flexibility modeling and flexibility-based economic dispatch models, (2) the familiarization with efficient solution algorithms for such models, (3) insights into these problems through the detailed analysis of numerous illustrative examples and (4) market design approach for enhancing the flexibility of the power system. Hopefully, this book greatly benefits readers in the fields of energy economics and engineering.

Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized decision-making in future power networks. The work opens by defining the emerging power system network as a system-of-systems (SoS), exploring the guiding principles behind optimal solutions for operation and planning problems. Chapters emphasize the role of regulations, prosumption behaviors, and the implementation of transactive energy processes as key components in decentralizing power systems. Contributors explore local markets, distribution system operation and proactive load management. The role of cryptocurrencies in smoothing transactive distributional challenges are presented. Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices. Develops a novel framework for transactive energy management to enhance flexibility in future power systems Explores interactions between multiple entities in local power markets based on a distributed optimization approach Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making

Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.

Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established. Integrates multi-energy DER, including electrical and thermal distributed generation, demand response, electric vehicles, storage and RES in the context of local integrated energy systems Fosters the integration of DER in the electricity markets through the concepts of DER aggregation Addresses the challenges of emerging paradigms as energy communities and energy blockchain applications in the current and future energy landscape Proposes operation optimization models and methods through multi-objective approaches for fostering short- and long-run sustainability of local energy systems Assesses and models the uncertainties of renewable resources and intermittent loads in the short-term decision-making process for smart decentralized energy systems

Deregulation is causing dramatic change in the power industry but little is known about how power systems will function under competition. What are suitable performance objectives? What control designs are required and what economic techniques should be used? This detailed analysis attempts to answer these questions. The authors provide a modelling, analysis and systems control framework that makes it possible to relate distinctive features of the electric power industry to more conventional supply/demand processes in other industries. Some parts of the system can be distributed while other parts must remain co-ordinated. This authoritative and detailed study is highly topical and will be of interest to those working in the systems control area, especially in electrical power. It is also most relevant for industrial economists as well as academics in electrical power engineering.