Download or read book Stochastic Optimization of Energy Management For Residential Systems with Distributed Energy Resources written by Faeza Hafiz and published by . This book was released on 2019 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stochastic Optimization for Distributed Energy Resources in Smart Grids written by Yuanxiong Guo and published by Springer. This book was released on 2017-06-21 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.

Download or read book Operation Planning and Analysis of Energy Storage Systems in Smart Energy Hubs written by Behnam Mohammadi-Ivatloo and published by Springer. This book was released on 2018-04-04 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the design and scheduling of residential, industrial, and commercial energy hubs, and their integration into energy storage technologies and renewable energy sources. Each chapter provides theoretical background and application examples for specific power systems including, solar, wind, geothermal, air and hydro. Case-studies are included to provide engineers, researchers, and students with the most modern technical and intelligent approaches to solving power and energy integration problems with special attention given to the environmental and economic aspects of energy storage systems.

Download or read book Stochastic and Robust Optimal Operation of Energy efficient Building with Combined Heat and Power Systems written by Ping Liu and published by . This book was released on 2014 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency and renewable energy become more attractive in smart grid. In order to efficiently reduce global energy usage in building energy systems and to improve local environmental sustainability, it is essential to optimize the operation and the performance of combined heat and power (CHP) systems. In addition, intermittent renewable energy and imprecisely predicted customer loads have introduced great challenges in energy-efficient buildings' optimal operation. In the deterministic optimal operation, we study the modeling of components in building energy systems, including the power grid interface, CHP and boiler units, energy storage devices, and appliances. The mixed energy resources are applied to collaboratively supply both electric and thermal loads. The results show that CHP can effectively improve overall energy efficiency by coordinating electric and thermal power supplies. Through the optimal operation of all power sources, the daily operation cost of building energy system for generating energy can be significantly reduced. In order to address the risk due to energy consumption and renewable energy production volatility, we conduct studies on both stochastic programming and robust optimizations to operate energy-efficient building systems under uncertainty. The multistage stochastic programming model is introduced so that the reliable operation of building energy systems would be probabilistically guaranteed with stochastic decisions. The simulation results show that the stochastic operation of building systems is a promising strategy to account for the impact of uncertainties on power dispatch decisions of energy-efficient buildings. In order to provide absolute guarantee for the reliable operation of building energy systems, a robust energy supply to electric and thermal loads is studied by exploring the influence of energy storage on energy supply and accounting for uncertainties in the energy-efficient building. The robustness can be adjusted to control the conservativeness of the proposed robust operation model. For the purpose of achieving adaptability in the robust optimal operation and attaining robustness in the stochastic optimal operation of building energy systems, we also develop an innovative robust stochastic optimization (RSO) model. The proposed RSO model not only overcomes the conservativeness in the robust operation model, but also circumvents the curse of dimensionality in the stochastic operation model.

Download or read book Distributed Energy Resources Management 2018 written by Pedro Faria and published by MDPI. This book was released on 2020-01-21 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Download or read book Statistical Postprocessing of Ensemble Forecasts written by Stéphane Vannitsem and published by Elsevier. This book was released on 2018-05-17 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner

Download or read book Residential Intelligent Energy Management Solution written by John Clint and published by . This book was released on 2020 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Distributed Energy Resources in Local Integrated Energy Systems written by Giorgio Graditi and published by Elsevier. This book was released on 2021-02-27 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Smart Microgrids written by Sasi K. Kottayil and published by CRC Press. This book was released on 2020-08-17 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the need to understand the development, use, construction, and operation of smart microgrids (SMG). Covering selected major operations of SMG like dynamic energy management, demand response, and demand dispatch, it describes the design and operational challenges of different microgrids and provides feasible solutions for systems. Smart Micro Grid presents communication technologies and governing standards used in developing communication networks for realizing various smart services and applications in microgrids. An architecture facilitating bidirectional communication for smart distribution/microgrid is brought out covering aspects of its design, development and validation. The book is aimed at graduate, research students and professionals in power, power systems, and power electronics. Features: • Covers a broad overview of the benefits, the design and operation requirements, standards and communication requirements for deploying microgrids in distribution systems. • Explores issues related to planning, expansion, operation, type of microgrids, interaction among microgrid and distribution networks, demand response, and the technical requirements for the communication network. • Discusses current standards and common practices to develop and operate microgrids. • Describes technical issues and requirements for operating microgrids. • Illustrates smart communication architecture and protocols.

Download or read book Energy Management in Homes and Residential Microgrids written by Reza Hemmati and published by Elsevier. This book was released on 2023-09-25 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Management in Homes and Residential Microgrids: Short-Term Scheduling and Long-Term Planning provides an in-depth exploration of Home Energy Management Systems (HEMS), with a focus on practical applications for both short- and long-term models. Through this guide, readers will learn how to create efficient systems that facilitate the integration of renewable energy into the grid and simultaneously manage end-users' energy consumption. The short-term operation of Home Energy Management Systems is analyzed through various lenses, including renewable energy integration, energy storage integration, uncertainty in parameters, off-grid operation, outages and events, resilience, electric vehicle integration, and battery swapping strategy. The modelling of these topics is explained with step-by-step instructions, and the parameters and implications are thoroughly discussed. Additionally, the book offers insight into the long-term expansion planning for residential microgrids, providing a detailed examination of dynamic modeling, control, and stability of these small-scale energy systems. Throughout the book, simple and advanced examples are provided, and each example comes with numerical data, detailed formulation, modelling, and simulation. Energy Management in Homes and Residential Microgrids: Short-Term Scheduling and Long-Term Planning is a valuable reference and learning tool for students, researchers, and engineers working on short-term and long-term energy management systems in homes and residential microgrids. Explains how to model all systems as mixed integer linear programming in GAMS software alongside step-by-step instructions Offers numerous examples for each topic discussed, using both simple and advanced concepts Accounts for problems by providing solutions to practical situations and real-world conditions for both short-term and long-term models

Download or read book Data driven Stochastic Optimization for Cyber physical System Risk Management Smart Power Grids with Renewable Energy written by Yuan Yi and published by . This book was released on 2018 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the International Conference on Information Engineering Management and Security 2015 written by Vignesh Ramakrishnan and published by Association of Scientists, Developers and Faculties (ASDF). This book was released on 2015-08-13 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICIEMS 2015 is the conference aim is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Engineering Technology, Industrial Engineering, Application Level Security and Management Science. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.

Download or read book Stochastic Optimization for Integrated Energy System with Reliability Improvement Using Decomposition Algorithm written by Yuping Huang and published by . This book was released on 2014 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: With strong support of NG and electric facilities, the second strategy provides an optimal day-ahead scheduling for electric power generation system incorporating with non-generation resources, i.e. demand response and energy storage. Because of risk aversion, this generation scheduling enables a power system qualified with higher reliability and promotes non-generation resources in smart grid. To take advantage of power generation sources, the third strategy strengthens the change of the traditional energy reserve requirements to risk constraints but ensuring the same level of systems reliability. In this way we can maximize the use of existing resources to accommodate internal or/and external changes in power system. All problems are formulated by stochastic mixed integer programming, particularly considering the uncertainties from fuel price, renewable energy output and electricity demand over time. Taking the benefit of models structure, new decomposition strategies are proposed to decompose the stochastic unit commitment problems which are then solved by an enhanced Benders Decomposition algorithm. Compared to the classic Benders Decomposition, this proposed solution approach is able to increase convergence speed and thus reduce 25% of computation times on the same cases.

Download or read book Stochastic Optimization and Its Application to Communication Networks and the Smart Grid written by Zongrui Ding and published by . This book was released on 2012 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Chapter 4, we study the capacity region and the dynamic stabilizing control policy for the PL queueing networks with time-varying channels. Based on the Lyapunov drift method, we propose a dynamic routing and power control policy, i.e. DRPC-PL, which stabilizes the network whenever the input rate is within the capacity region of the PL queueing network. The Smart Grid system is a future vision of the electric power system, which features interaction and communication among grid components, adaptation of renewable energy and reliability/self-healing, etc. In Chapter 5, we consider the integration of stochastic wind power generation in the Smart Grid under renewable portfolio standard (RPS) with deep wind penetration. For small-scale utilities installed with wind turbines and acting as distributed energy resources (DERs), wind energy can be potentially integrated to satisfy customer power demand or enter energy market. To exploit the temporal variation of system status and real-time electricity market, we propose a theoretical framework to dynamically determine the role of wind energy and provide long-term RPS guarantee. This approach yields a simple dynamic thresholding control under the assumption of system ergodicity, which maximizes the expected profit of the utility and is easy to be implemented online.

Download or read book Stochastic Modeling for Resiliency in Residential Energy Systems written by Rachel G Hunter-Rinderle and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residential power outages leave occupants in the dark. System resiliency can be advanced by equipping residents with the ability to respond in the event of an electricity service disruption. This thesis applies stochastic optimization to household control by scheduling the use of a lithium-ion battery to partially serve uncertain demand as power outages occur. A method is proposed to model power outages as a DTMC using published reliability indices and residential power demand is modeled using published methods. Three weighting scales for the penalties on unsatisfied demand are tested in a case study with the main goal of calibrating a penalty vector such that the model appropriately balances demand for low and high priority activities over the course of the outage of probabilistic length. Results achieved here may be myopic, suggesting further tuning of penalties may be necessary.

Download or read book Energy Management of Distributed Generation Systems written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Zone distributed Optimization System for Energy Management in Smart Grids written by Jamal Busnaina and published by . This book was released on 2017 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy management system (EMS) is an important component of smart grid operation. A proper EMS is the key to the integration of smart grid (SG) features, which include two-way communication, smart metering as well advanced control algorithms, in order to operate different components of SG efficiently and constructively. EMSs are both applied on the entity's and the system's level. On the entity level, individual entities don't coordinate with the system operator to optimize the objectives globally which would lead to inefficient solutions. System level EMS is implemented using centralized and decentralized approaches. Some of crucial drawbacks of the centralized EMS approach are that it's incapable of considering customer preferences while optimizing the operation of the networks, in addition to the lack of flexibility and scalability. Nevertheless, in the decentralized EMS approach, the customers and the system operator share information and interact constructively in optimizing their objectives. However, this approach still requires central coordination and long back-forth process to converge, as there is no shared background of mathematical foundation. In addition to that, most of the proposed decentralized techniques, do not consider network constraints, especially for unbalanced systems. This thesis proposes a Zone-Distributed Optimization System (ZDOS) using distributed semi-definite programming for energy management of a SG. ZDOS divides distribution systems into numerous micro grid-like regions, or zones, to facilitate smart grid operation. The proposed ZDOS divides the grid into a number of Zone-Specific Optimization Subsystem (ZSOS), each responsible for controlling and managing the activities inside a zone. The ZDOS clusters the distribution system based on the customer-class (residential, commercial and industrial). Each class is controlled by ZSOS in order to optimize a certain objective function, as well as a set of constraints which are consistent with customer's nature, preferences, requirements and the applied Demand Response (DR) strategy. Furthermore, ZSOS's of connected zones exchange local information at the point of connectivity indicating the desired power exchange and voltage level until the iterative process of every ZSOS is satisfied. Simulations and analysis are conducted on a modified 123-IEEE test system, which include diesel generators, renewable energy resources, and energy storage systems. The system is tested under different scenarios and demand response strategies. The analysis has shown that the results obtained by ZDOS are valid as the supply and demand are always balanced. Furthermore, the performance of ZDOS for minimizing operational costs has significantly improved when applying the DR, compared to ZDOS results without DR. The effectiveness of a multi-objective ZDOS when taking into consideration the preferences and requirements of different customers has been proven.