Download or read book Systems Modeling and Optimization of Investment and Capacity Expansion of an Electric Utility written by James Clovis Garrett and published by . This book was released on 1973 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Market Design and Planning for Electric Power Systems written by James A. Momoh and published by John Wiley & Sons. This book was released on 2009-11-19 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover cutting-edge developments in electric power systems Stemming from cutting-edge research and education activities in the field of electric power systems, this book brings together the knowledge of a panel of experts in economics, the social sciences, and electric power systems. In ten concise and comprehensible chapters, the book provides unprecedented coverage of the operation, control, planning, and design of electric power systems. It also discusses: A framework for interdisciplinary research and education Modeling electricity markets Alternative economic criteria and proactive planning for transmission investment in deregulated power systems Payment cost minimization with demand bids and partial capacity cost compensations for day-ahead electricity auctions Dynamic oligopolistic competition in an electric power network and impacts of infrastructure disruptions Reliability in monopolies and duopolies Building an efficient, reliable, and sustainable power system Risk-based power system planning integrating social and economic direct and indirect costs Models for transmission expansion planning based on reconfiguration capacitor switching Next-generation optimization for electric power systems Most chapters end with a bibliography, closing remarks, conclusions, or future work. Economic Market Design and Planning for Electric Power Systems is an indispensable reference for policy-makers, executives and engineers of electric utilities, university faculty members, and graduate students and researchers in control theory, electric power systems, economics, and the social sciences.

Download or read book Robust Optimization in Electric Energy Systems written by Xu Andy Sun and published by Springer Nature. This book was released on 2021-11-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered. Specifically, the book includes: robust set characterization, robust optimization, adaptive robust optimization, hybrid robust-stochastic optimization, applications to short- and medium-term operations problems in the electricity sector, and applications to long-term investment problems in the electricity sector. Each chapter contains end-of-chapter problems, making it suitable for use as a text. The purpose of the book is to provide a self-contained overview of robust optimization techniques for decision making under uncertainty in the electricity sector. The targeted audience includes industrial and power engineering students and practitioners in energy fields. The young field of robust optimization is reaching maturity in many respects. It is also useful for practitioners, as it provides a number of electricity industry applications described up to working algorithms (in JuliaOpt).

Download or read book Electric Utility Resource Planning written by Joe Ferrari and published by Elsevier. This book was released on 2020-09-09 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric Utility Resource Planning: Past, Present and Future covers the balance of renewable costs, energy storage, and flexible backstop mechanisms needed in electric utility resource planning. In addition, it covers the optimization of planning methodologies and market design. The book argues that net load, ramping and volatility concerns associated with renewables call into question the validity of almost a century of planning approaches. Finally, it suggests that accounting for flexibility helps optimize the efficiency of the entire fleet of assets, minimizing costs and CO2 generation simultaneously, concluding that a flexible, independent backstop mechanism is needed, regardless of renewables or storage. Case studies provide a mix of hypothetical "what if" scenarios and analyses of real-life utility portfolios drawn from international examples. - Examines how resource planners and policy specialists can plan to incorporate renewable generation technologies, thus uniting considerations of technology, methodology, business and policy - Focuses on the reality of long-term decision-making and planning processes in working utilities - Reviews novel approaches towards resource planning that yield lower costs and CO2 - Emphasizes the need for flexible backstop mechanisms to maintain reliability

Download or read book Optimization Tools for Emerging Challenges in Power Systems written by Nan Zhang (Ph. D. in operations research and industrial engineering) and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The expansion and operation of electric power systems have always been viewed as a critical economic and social topic. With the rapid evolution of the electricity industry, a combination of factors, including the increasing renewable penetration, deployment of storage, customer preferences, and environmental regulations, bring challenges to traditional decision-making paradigms in power systems. Therefore, well-designed operations research applications in power system are becoming increasingly important to maintain and improve their performance. This dissertation aims to deploy novel optimization models and methods to address these emerging challenges and support the decision-making in modern power systems. The dissertation starts at the customer side in power system operations. In Chapter 2, we consider the problem of operating a battery storage unit in a home with a rooftop solar photovoltaic (PV) system so as to minimize expected long-run electricity costs under uncertain electricity usage, PV generation, and electricity prices. We implement a data-driven dynamic programming (DDP) algorithm that uses historical data observations to generate empirical conditional distributions and approximate the cost-to-go function, and formulate two robust data-driven dynamic programming (RDDP) algorithms to address the overfitting. Numerical results reveal that DDP and RDDP outperform common existing methods with acceptable computational effort. We also show that implementation of these superior operational algorithms significantly raises the break-even battery cost compared with existing feed-in tariff (FIT) or net energy metering (NEM) program. Following from Chapter 2, we move forward to the system-wide resource planning decision-making framework regarding distributed generation. In Chapter 3, we develop a sequential optimization framework that allows a utility to anticipate distributed energy resource (DER) adoption and choose its own generation, transmission, and distribution investments accordingly. Specifically, we adapt a capacity expansion model to represent both centralized and decentralized decision-making paradigms between the utility and customers under various electricity rate structures. By constructing a real-world case study of a utility in the Western U.S., we show that a centralized planning approach could save 7% to 37% of total system costs over a 15-year time horizon. We demonstrate that centralized decision-making deploys substantially more utility-scale solar and distributed storage compared to a decentralized decision-making paradigm. We also analyze the technological difference between the two paradigms and demonstrate how a utility could largely overcome the complications of decentralized distributed resource decision-making by incentivizing regulators to develop electricity rates that more closely reflect time- and location-specific, long-run marginal costs. Motivated from Chapter 3, we continue developing another complex decision-making framework in power system planning that includes more decision-makers on demand-side resources. In Chapter 4, we construct a novel bilevel programming model that co-optimizes a utility's capacity expansion and rate design decisions in the presence of multiple prosumers, including load-shifting customers, distributed PV adopters, and electric vehicle (EV) owners. We further develop a case study on a test power system and present several key findings. We show that co-optimized rate designs can more successfully incentivize behind-the-meter decisions and lead to substantial cost reduction in the whole power system compared to traditional, uncoordinated capacity planning. We also show that time-varying rates determined by the net load profile can both increase the utility's profit and decrease the total cost, and they enable the utility to design more effective locationally differentiated feed-in tariff policies. Finally, we find that providing smart EV charging outlets with their own electricity rates allows the utility to induce beneficial EV load shifting that reduces total system costs. In Chapter 5, we study another critical issue, resource adequacy, which refers to the ability of a power system to reliably satisfy electricity demands using its available resources. Monitoring and maintaining RA is becoming increasingly complex and challenging due to the drastic, ongoing changes in the electricity technologies, policies, and markets. In this chapter, We first diagnosis the with traditional RA assessments. We analyze the current RA assessment practices in integrated resource planning (IRP) by examining 11 plans from load serving entities over U.S., and show that LSEs could improve RA assessments in their IRPs by developing net load forecasts that capture load uncertainty and impacts of demand-side resources, or considering risks in market imports with its effect on reliability performance. In the second part, we develop a technical RA framework that applies a dispatch model to study the performances of RA assessments under different modeling assumptions. By constructing a case study, we distinguish operational details that are critical to include in any accurate RA assessment from details that are computationally burdensome but do not significantly affect the evaluation of RA. We show that the representations of detailed chronological operations of thermal generators and storage units are essential for accurate RA assessments. We also present the need of developing new metrics that beyond traditional expectation-based metrics in identifying the impact of modeling choices on RA assessments. Lastly, we show that non-economic dispatches without cost considerations can lead to fairly accurate RA assessments when coordinated with detailed operational strategies. The four core chapters of this dissertation improve the economic and reliability performance of power systems by leveraging novel optimization tools, and they yield high-level implications that can benefit to electricity decision-makers including regulators, utilities, and end-use customers. While each chapter looks at different components in power systems, they serve the common goal of applying operations research models and methods to address the emerging challenges and support the decision-making in modern power systems. The findings in this dissertation can be valuable in the ways to develop more economic, reliable, and sustainable electric power systems

Download or read book Energy Research Abstracts written by and published by . This book was released on 1990 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book American Doctoral Dissertations written by and published by . This book was released on 1973 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Capacity expansion Planning Under Uncertainty in the Electric utility Industry written by and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This document basically represents a comparison between theory and practice of capacity-expansion planning in the electric-utility industry. The purpose of the comparison is to provide avenues for further exploration in utility decision making. The focus of the Phase II study is upon the role of uncertainty in the decision-making process. The Phase I effort was directed at modeling the Averch-Johnson theory of the regulated utility. Part I of this report reviews the Anderson study (D. Anderson, Models for Determining Least-Cost Investments in Electricity Supply). The Anderson paper has become a standard reference for capacity-planning studies in the electric-utility industry. Part II examines uncertainty and the behavior of the firm. Part III reviews 5 models of electric-utility capacity planning under uncertainty, and Part IV is concerned with capacity-planning models in practice.

Download or read book WIS dom P v9 0 Weather Informed energy Systems for design operations and markets Planning Version written by Christopher T M Clack and published by Vibrant Clean Energy, LLC. This book was released on 2020-08-01 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The WIS:dom® (Weather-Informed energy Systems: for design, operations and markets) optimization planning model is the state-of-the-art energy model developed by Vibrant Clean Energy, LLC (VCE®). It is the first commercial co-optimization model of energy grids that was built from the ground up to incorporate vast volumes of data; starting with high-resolution weather and demand data. WIS:dom®-P simultaneously co-optimizes the capacity expansion requirements (generation, transmission, and storage) and the dispatch requirements (production cost, power flow, reserves, ramping, and reliability) for the entire electric (energy) grid of interest. Not only does WIS:dom® co-optimize these critically linked properties, it was developed from the ground up to work with “big data”. The model can determine the cost/benefit ratios for new HVDC transmission lines, compared with other technologies. It can also determine the risk and rewards from retiring existing generators for the topology of the transmission infrastructure; simultaneously to determining how more variable generation is deployed to replace them. WIS:dom® utilizes high-resolution (spatially and temporally) weather data to determine resource properties over vast spatial-temporal horizons. Thus, WIS:dom® can be used on scales as small as campuses, cities, counties or states/provinces; but uniquely can also be used for sovereign entities and continents. Moreover, these scales can be nested, allowing high-fidelity local modeling accompanied with lower-fidelity larger areas to create feedbacks within the model that simulate outside influences on local markets. The model relies on publically available data where possible, and contains default values for generators, transmission, storage, production cost and resource siting. However, WIS:dom® was designed from the beginning to allow “plug-and-play” capability, whereby it can take advantage of customized datasets required for detailed modeling of specific questions, markets or balancing areas. For example, higher-resolution weather data over a utility or ISO; or proprietary heat rates for generators within a utility. The modeling framework is unique and consistent across various scales facilitating more transparent analysis between results derived. With WIS:dom® new opportunities are identified due to the co-optimization detecting patterns ignored by other modeling endeavors. The WIS:dom® optimization model allows datasets to be added for specific local interests. For example, WIS:dom® can be deployed for any country or continent around the globe. The model requires the local datasets (or uses the default global one) and then can study various questions of interest – such as greenhouse gas emission, HVDC transmission links, variable generation and reliability, water consumption, air pollution, electric vehicle penetrations, electric heating, jobs and tax revenues, and more.

Download or read book Energy Abstracts for Policy Analysis written by and published by . This book was released on 1989 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mathematical Modelling of Energy Systems written by İbrahim Kavrakoğlu and published by Springer. This book was released on 1981-03-31 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Istanbul, Turkey, June 1979

Download or read book Incorporating Endogenous Demand Dynamics Into Long term Capacity Expansion Power System Models for Developing Countries written by Rhonda LeNai Jordan and published by . This book was released on 2013 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research develops a novel approach to long-term power system capacity expansion planning for developing countries by incorporating endogenous demand dynamics resulting from social processes of technology adoption. Conventional capacity expansion models assume exogenous demand growth; however, literature suggests that this assumption is not appropriate for developing countries. The planning approach presented in this research explicitly represents the links between the social and technical components of the power system. As potential customers without electricity select between various supply options to meet their power needs and as existing customers alter their consumption in reaction to the price of electricity and the perceived performance of the grid, the demand for grid power is directly impacted. This thesis demonstrates that neglecting these feedbacks and resorting to simplified assumptions can result in suboptimal investment strategies. By comparing the investment strategies identified using this novel approach to that of more conventional approaches, this research highlights cases in which the incorporation of endogenous demand impacts capacity expansion planning. More specifically, this work proves that incorporating endogenous electricity demand is important when there is a large fraction of the population without access to power or when the improvement in reliability afforded by capacity expansion is large. Employing traditional capacity expansion methods in such cases may lead to the selection of inferior expansion strategies. This research has both academic and applied contributions. Methodologically, this research extends state-of-the-art power system models by combining two generally separate modeling approaches, system dynamics and optimization. These methods are integrated to capture both the technical details of power grid operation and endogenous electricity demand dynamics in order to simulate the performance and evolution of the electric power grid. This research also demonstrates a holistic approach to centralized power planning that enables a more realistic representation of grid demand in developing countries and the identification of strategies that, in some cases, perform better than the strategies identified using traditional approaches. Finally, while this research was inspired by the case of Tanzania, the approach was developed with the flexibility to be applied to other countries with similar power system structure and contextual features.

Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1984 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Investment in Electricity Generation and Transmission written by Antonio J. Conejo and published by Springer. This book was released on 2016-06-10 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as: How can we expand and/or reinforce our aging electricity transmission infrastructure? How can we expand the transmission network of a given region to integrate significant amounts of renewable generation? How can we expand generation facilities to achieve a low-carbon electricity production system? How can we expand the generation system while ensuring appropriate levels of flexibility to accommodate both demand-related and production-related uncertainties? How can we choose among alternative production facilities? What is the right time to invest in a given production or transmission facility? Written in a tutorial style and modular format, the book includes a wealth of illustrative examples to facilitate comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here.

Download or read book Robust Optimization of Electric Power Generation Expansion Planning Considering Uncertainty of Climate Change written by Shuya Li and published by . This book was released on 2014 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research is dedicated to the study of electric power system generation expansion planning considering uncertainty of climate change. Policymakers across the world are increasingly concerned about the effects of climate change and its impact on human systems when making decisions. Electric power Generation Expansion Planning (GEP) problems that determine the optimal expansion capacity and technology under particular technical constraints, given cost and policy assumptions are undoubtedly among those decisions. Now and in the future, climate change is and will be affecting new power plant investment decisions and the electricity generation system in more uncertain ways. The power system needs to be more reliable, cost-effective and environmentally friendly when exposed to higher temperature, less precipitation and more intense and frequent extreme events. However, incorporating the climate change effects into a GEP model has rarely been attempted before in the literature. The best approach to comprehensively model those uncertainties into electricity generation, and to optimize the generation planning under uncertainty needs be studied in a more specific way. In this research, a preliminary GEP model is proposed with available input data from various resources. Discrete scenarios and robust optimization are adopted to specifically model uncertainty. Relationships between climate change and GEP parameters are defined and considered in each scenario. The preliminary GEP model is then solved under each scenario to identify the climate change impact on the generation expansion planning decision. Two robust optimization models are presented and solved to find the optimal results under uncertainty: Model 1 is expected total cost minimization and Model 2 is maximum regret minimization. Both models find a compromise solution that is good for all scenarios, which avoids the possible risk associated with a poor decision that is only optimal for one particular scenario. The results suggest recommendations for further power system uncertainty modeling and risk management.

Download or read book Energy Systems Modeling and Policy Analysis written by B K Bala and published by CRC Press. This book was released on 2022-04-19 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Systems Modeling and Policy Analysis covers a wide spectrum of topics including policy analysis and the optimal operational planning of integrated energy systems using a systems approach. This book details the importance of energy modeling and policy analysis, system dynamics and linear programming, modeling of energy supplies, energy demand, and environmental impact. Integrated energy systems at micro- and macro-levels, the application of simulation techniques for integrated rural energy systems, and integrated electric power systems/smart grids are covered as well. Features: Covers topics such as modeling, optimization and control of energy systems, and data analysis collected using a Supervisory Control and Data Acquisition (SCADA) system Uses system dynamics methodology (based on control systems theory) as well as other modeling tools Focuses on energy and environmental issues Provides optimal operational planning and management of integrated electric power systems and smart grids Covers the simulated planning and management of integrated national electric power systems using system dynamics This book is aimed at graduate students in electrical engineering, energy technology, microgrids, energy policy, and control systems.

Download or read book Optimization Models in Electricity Markets written by Anthony Papavasiliou and published by Cambridge University Press. This book was released on 2024-05-31 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up-to-speed with the fundamentals of how electricity markets are structured and operated with this comprehensive textbook, presenting coverage of key topics in electricity market design, including power system and power market operations, transmission, unit commitment, demand response, and risk management. It includes over 140 practical examples, inspired by real-industry applications, connecting key theoretical concepts to practical scenarios in electricity market design, and features over 100 coding-based examples and exercises, with selected solutions for readers. It further demonstrates how mathematical programming models are implemented in an industry setting. Requiring no experience in power systems or energy economics, this is the ideal introduction to electricity markets for senior undergraduate and graduate students in electrical engineering, economics, and operations research, and a robust introduction to the field for professionals in utilities, energy policy, and energy regulation. Accompanied online by datasets, AMPL code, supporting videos, and full solutions and lecture slides for instructors.