Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy

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ISBN 13 :
Total Pages : 127 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy by : Abdulelah Habib

Download or read book Modeling and Optimization Techniques for Sizing and Scheduling Applications in Power and Energy written by Abdulelah Habib and published by . This book was released on 2018 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques were applied to solve critical power system problems. We first studied the sizing and scheduling of stand-alone loads and generators for optimal energy utilization. The main application of this work is water treatment or desalination plants which are powered by stand-alone solar farms in off-grid setup. The techniques can also be applied to large loads operating in island modes--such as motors or pumps, steel manufacturing, and data centers. Mixed integer linear programming was used for sizing and scheduling the loads. Historical solar data was also used to optimally schedule the available resources in a selected location. Static and dynamic loads types were simulated. The second portion of this thesis focuses on methods to mitigating macrogrid power outages by utilizing available Distributed Energy Resources (DER) to supply load locally, but across several customers. Real household data was analyzed. The algorithm schedules load and demand to meet certain objective functions such as minimizing power losses or maximizing solar energy utilization and is implemented in the framework of mixed integer linear programming. Reliability metrics increased significantly through power sharing. Finally, optimization methods are applied to size a Battery Energy Storage Systems (BESS) from an economic perspective. As BESS can mitigate effects of intermittent energy production from renewable energy sources they play a critical role in peak shaving and demand charge management. The trade-off between BESS investment costs, lifetime, and revenue from utility bill savings along with microgrid ancillary services are taken into account to determine the optimal size of a BESS. The optimal size of a BESS is solved via a stochastic optimization problem considering wholesale market pricing. A stochastic model is used to schedule arbitrage services for energy storage based on the forecasted energy market pricing while accounting for BESS cost trends, the variability of renewable energy resources, and demand prediction. The approach is illustrated with an application to various realistic case studies based on pricing and demand data from the California Independent System Operator (CAISO). The case study results give insight in optimal BESS sizing from a cost perspective, based on both long-term installation schedules and daily BESS operation.

Classical and Recent Aspects of Power System Optimization

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Publisher : Academic Press
ISBN 13 : 0128124423
Total Pages : 588 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Classical and Recent Aspects of Power System Optimization by : Ahmed F. Zobaa

Download or read book Classical and Recent Aspects of Power System Optimization written by Ahmed F. Zobaa and published by Academic Press. This book was released on 2018-06-29 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power. Analyzes and compares several aspects of optimization for power systems which has never been addressed in one reference Details real-life industry application examples for each chapter (e.g. energy storage and power reserve problems) Provides practical training on theoretical developments and application of advanced methods for optimum electrical energy for realistic engineering problems

Optimization Methods Applied to Power Systems

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Publisher : MDPI
ISBN 13 : 3039211307
Total Pages : 382 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimization Methods Applied to Power Systems by : Francisco G. Montoya

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Optimization in Renewable Energy Systems

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Publisher : Butterworth-Heinemann
ISBN 13 : 0081012098
Total Pages : 327 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Optimization in Renewable Energy Systems by : Ozan Erdinc

Download or read book Optimization in Renewable Energy Systems written by Ozan Erdinc and published by Butterworth-Heinemann. This book was released on 2017-02-25 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. Provides chapters written by experts in the field Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems Provides accompanying computer code for related chapters

Optimization Methods Applied to Power Systems

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Publisher : MDPI
ISBN 13 : 3039211560
Total Pages : 306 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimization Methods Applied to Power Systems by : Francisco G. Montoya

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Optimization of Power System Problems

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Publisher : Springer Nature
ISBN 13 : 3030340503
Total Pages : 386 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Optimization of Power System Problems by : Mahmoud Pesaran Hajiabbas

Download or read book Optimization of Power System Problems written by Mahmoud Pesaran Hajiabbas and published by Springer Nature. This book was released on 2020-01-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Numerical Optimization and Modeling Techniques for Power System Operations and Planning

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (96 download)

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Book Synopsis Numerical Optimization and Modeling Techniques for Power System Operations and Planning by : Tomás Andrés Tinoco De Rubira

Download or read book Numerical Optimization and Modeling Techniques for Power System Operations and Planning written by Tomás Andrés Tinoco De Rubira and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern societies, electricity is ubiquitous and its availability and reliability are often taken for granted. However, the reality is that these properties rely on the proper operation of one of man's most complex creations: electric power grids. These systems transport electric energy across wide geographical regions from places where it is produced to places where it is consumed. They do so in many cases with virtually no storage. To ensure an efficient and reliable operation of these complex machines, numerical optimization algorithms are applied at almost every level of the operations and planning spectrum. For example, they are used for planning network expansions, scheduling generators, adjusting control devices, determining system state, computing security margins, and for many other crucial tasks. However, many of the algorithms currently used by system operators and planners are based on heuristics and have severe limitations. For example, common power flow algorithms, which are used for scenario analysis, typically fail to provide useful system information in the absence of accurate estimates of system state. Optimal power flow algorithms, which are used for planning system adjustments, typically use inadequate techniques for handling discrete variables and identifying key control actions. Security assessment algorithms typically require expensive system simulations that prevent frequent security analyses. These deficiencies may compromise system performance as grids become more complex, variable and unpredictable, and are operated closer to their limits. In this work, modeling and numerical optimization techniques are explored for overcoming many of the limitations associated with the algorithms used for scenario analysis, planning and control, and online security assessment. The proposed techniques have been tested on mid to large-scale real power networks obtained from South American, North American, and European electric institutions. The results demonstrate the potential benefits of the proposed techniques for improving the tools used by operators and planners for maintaining system reliability and efficiency.

Handbook of Formal Optimization

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Publisher : Springer Nature
ISBN 13 : 9819738202
Total Pages : 1406 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Handbook of Formal Optimization by : Anand J. Kulkarni

Download or read book Handbook of Formal Optimization written by Anand J. Kulkarni and published by Springer Nature. This book was released on with total page 1406 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Power Generation Scheduling, Modelling and Expansion Planning

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Publisher : MDPI
ISBN 13 : 3036507426
Total Pages : 172 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Distributed Power Generation Scheduling, Modelling and Expansion Planning by : Javier Contreras

Download or read book Distributed Power Generation Scheduling, Modelling and Expansion Planning written by Javier Contreras and published by MDPI. This book was released on 2021-06-02 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed generation is becoming more important in electrical power systems due to the decentralization of energy production. Within this new paradigm, new approaches for the operation and planning of distributed power generation are yet to be explored. This book deals with distributed energy resources, such as renewable-based distributed generators and energy storage units, among others, considering their operation, scheduling, and planning. Moreover, other interesting aspects such as demand response, electric vehicles, aggregators, and microgrid are also analyzed. All these aspects constitute a new paradigm that is explored in this Special Issue.

Optimization and Control in Energy Management

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Publisher :
ISBN 13 : 9783725807758
Total Pages : 0 pages
Book Rating : 4.8/5 (77 download)

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Book Synopsis Optimization and Control in Energy Management by : Atanda Kamoru Raji

Download or read book Optimization and Control in Energy Management written by Atanda Kamoru Raji and published by . This book was released on 2024-04-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present reprint contains 15 articles published in the Special Issue "Optimization and Control in Energy Management: Mathematical Modeling and Simulation" of the journal Mathematics, which covers a wide range of topics connected to the energy management systems, i.e., EMS optimization and control techniques for managing the power flow in response to supply, demand, power quality, and storage conditions. These topics include demand side management and demand response, artificial intelligence optimization methods for renewable energy systems and energy management, frequency regulation using virtual power plants, modeling and simulation for energy management, EMS in smart electrical grids, energy-efficient systems, energy conservation techniques, EMS in mini- and microgrids, algorithms, numerical simulations, mathematical modeling, analytical understanding, control theory, load and renewable energy generation prediction techniques, energy management for smart cities and homes, energy management for improving power quality, various optimization techniques and methods in EMS, and various control methods and strategies in EMS. It is hoped that this reprint will be interesting and useful for those working in the area of EMS, power systems' optimal operation, and renewable energy systems, as well as for those having the proper mathematical background and the willingness to be familiar with the recent advances in the mathematical modeling and simulation of energy systems, which are essential tools for the strategic planning and optimal operation of hybrid energy systems in the form of islanded or grid-connected mini or microgrids.

Power System Optimization Modeling in GAMS

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Publisher : Springer
ISBN 13 : 3319623508
Total Pages : 309 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Power System Optimization Modeling in GAMS by : Alireza Soroudi

Download or read book Power System Optimization Modeling in GAMS written by Alireza Soroudi and published by Springer. This book was released on 2017-08-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students.

Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

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Publisher : CRC Press
ISBN 13 : 1040016111
Total Pages : 253 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications by : B Rajanarayan Prusty

Download or read book Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications written by B Rajanarayan Prusty and published by CRC Press. This book was released on 2024-05-09 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include: an exclusive section on essential preprocessing approaches for the data-driven model a detailed overview of data-driven model applications to power system planning and operational activities specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

Optimisation Models and Methods in Energy Systems

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Publisher : MDPI
ISBN 13 : 3039211188
Total Pages : 194 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimisation Models and Methods in Energy Systems by : Carlos Henggeler Antunes

Download or read book Optimisation Models and Methods in Energy Systems written by Carlos Henggeler Antunes and published by MDPI. This book was released on 2019-08-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies

Numerical Methods for Energy Applications

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Publisher : Springer Nature
ISBN 13 : 303062191X
Total Pages : 1033 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Numerical Methods for Energy Applications by : Naser Mahdavi Tabatabaei

Download or read book Numerical Methods for Energy Applications written by Naser Mahdavi Tabatabaei and published by Springer Nature. This book was released on 2021-03-22 with total page 1033 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough guide to the use of numerical methods in energy systems and applications. It presents methods for analysing engineering applications for energy systems, discussing finite difference, finite element, and other advanced numerical methods. Solutions to technical problems relating the application of these methods to energy systems are also thoroughly explored. Readers will discover diverse perspectives of the contributing authors and extensive discussions of issues including: • a wide variety of numerical methods concepts and related energy systems applications;• systems equations and optimization, partial differential equations, and finite difference method;• methods for solving nonlinear equations, special methods, and their mathematical implementation in multi-energy sources;• numerical investigations of electrochemical fields and devices; and• issues related to numerical approaches and optimal integration of energy consumption. This is a highly informative and carefully presented book, providing scientific and academic insight for readers with an interest in numerical methods and energy systems.

Energy System Modeling and Optimization

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Publisher : Springer
ISBN 13 : 9783031659058
Total Pages : 0 pages
Book Rating : 4.6/5 (59 download)

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Book Synopsis Energy System Modeling and Optimization by : Alireza Ghadertootoonchi

Download or read book Energy System Modeling and Optimization written by Alireza Ghadertootoonchi and published by Springer. This book was released on 2024-10-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to employ Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.

Modeling and Optimization of Interdependent Energy Infrastructures

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Publisher : Springer
ISBN 13 : 9783030259570
Total Pages : 0 pages
Book Rating : 4.2/5 (595 download)

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Book Synopsis Modeling and Optimization of Interdependent Energy Infrastructures by : Wei Wei

Download or read book Modeling and Optimization of Interdependent Energy Infrastructures written by Wei Wei and published by Springer. This book was released on 2019-11-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering.

Analytics and Optimization for Renewable Energy Integration

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Publisher : CRC Press
ISBN 13 : 0429847696
Total Pages : 261 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Analytics and Optimization for Renewable Energy Integration by : Ning Zhang

Download or read book Analytics and Optimization for Renewable Energy Integration written by Ning Zhang and published by CRC Press. This book was released on 2019-02-21 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.