A discussion of the philosophy of modeling of three-phase transmission lines, three-phase transformers, three-phase generators, and powersystem loads is presented. Although the topic is very basic, the material cover...
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A discussion of the philosophy of modeling of three-phase transmission lines, three-phase transformers, three-phase generators, and powersystem loads is presented. Although the topic is very basic, the material covered is not all conventional. Single-phase representation of a three-phase powersystem is discussed in detail. Assumptions usually employed in the power industry are stated. Also discussed is the mathematical representation of a non-symmetrical three-phase powersystem in which the symmetrical-component method is not applied. An important aspect is the study of the models used in present-day problems as well as the models that may be required in the near future.
The Wind Energy Deployment system model was used to estimate the costs and benefits associated with producing 20% of the nation's electricity from wind technology by 2030. This generation capacity expansion model ...
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ISBN:
(纸本)9781424419050
The Wind Energy Deployment system model was used to estimate the costs and benefits associated with producing 20% of the nation's electricity from wind technology by 2030. This generation capacity expansion model selects from electricity generation technologies that include pulverized coal plants combined cycle natural gas plants, combustion turbine nature gas plants, nuclear plants, and wind technology to meet projected demand in future years. Technology cost and performance projections, as well as transmission operation and expansion costs, are assumed. This study demonstrates that producing 20% of the nation's projected electricity demand in 2030 from wind technology is technically feasible, not cost-prohibitive, and provides benefits in the forms of carbon emission reductions, natural gas price reductions, and water savings.
Provides students with an understanding of the modeling and practice in powersystem stability analysis and control design, as well as the computational tools used by commercial vendors Bringing together wind, FACTS, ...
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ISBN:
(数字)9781119546924
ISBN:
(纸本)9781119546870
Provides students with an understanding of the modeling and practice in powersystem stability analysis and control design, as well as the computational tools used by commercial vendors Bringing together wind, FACTS, HVDC, and several other modern elements, this book gives readers everything they need to know about powersystems. It makes learning complex powersystem concepts, models, and dynamics simpler and more efficient while providing modern viewpoints of powersystem analysis. power system modeling, Computation, and Control provides students with a new and detailed analysis of voltage stability; a simple example illustrating the BCU method of transient stability analysis; and one of only a few derivations of the transient synchronous machine model. It offers a discussion on reactive power consumption of induction motors during start-up to illustrate the low-voltage phenomenon observed in urban load centers. Damping controller designs using powersystem stabilizer, HVDC systems, static var compensator, and thyristor-controlled series compensation are also examined. In addition, there are chapters covering flexible AC transmission systems (FACTS)—including both thyristor and voltage-sourced converter technology—and wind turbine generation and modeling. Simplifies the learning of complex powersystem concepts, models, and dynamics Provides chapters on power flow solution, voltage stability, simulation methods, transient stability, small signal stability, synchronous machine models (steady-state and dynamic models), excitation systems, and powersystem stabilizer design Includes advanced analysis of voltage stability, voltage recovery during motor starts, FACTS and their operation, damping control design using various control equipment, wind turbine models, and control Contains numerous examples, tables, figures of block diagrams, MATLAB plots, and problems involving real systems Written by experienced educators whose previous books and papers are used extensivel
Clustered unit commitment (CUC) formulations have been proposed to provide accurate and fast approximations to the unit commitment (UC) problem. In these formulations, identical or similar plants are grouped into clus...
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Clustered unit commitment (CUC) formulations have been proposed to provide accurate and fast approximations to the unit commitment (UC) problem. In these formulations, identical or similar plants are grouped into clusters. This way, the binary commitment variables of all the plants within a cluster can be replaced by a single integer variable. This approach has recently been mainly used for tractably integrating flexibility constraints in generation expansion planning problems. However, a thorough general validation is still missing. In addition, these formulations do not provide commitment schedules on a plant-by-plant level and hence cannot be used directly for operating actual systems or markets. A first contribution of this paper is to show that errors can be introduced both due to the problem formulation and the grouping of nonidentical units. A case study is presented in which these errors are quantified under different conditions. Overall, the error in approximating the total cost does not exceed 0.06%. A second contribution of this paper is the development of a hybrid approach, which sequentially uses a CUC and a traditional UC model. This approach allows to reduce the computational cost of solving the UC problem while providing a guaranteed feasible and near-optimal solution.
A multiscale power system modeling methodology for the integrative simulation of electromagnetic and electromechanical transients is introduced, implemented and validated. It makes use of frequency-adaptive simulation...
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A multiscale power system modeling methodology for the integrative simulation of electromagnetic and electromechanical transients is introduced, implemented and validated. It makes use of frequency-adaptive simulation of transients (FAST) in which the shift frequency appears as a new parameter in addition to the time step size. For fast electromagnetic transients', tracking of instantaneous waveforms as in the Electromagnetic Transients Program (EMTP) is performed. When slower electromechanical transients involving power oscillations prevail, the Fourier spectra of the waveforms are shifted by typically either 50 or 60 Hz to eliminate the ac carrier and enable envelope following as in phasor-based simulation. An algorithm for the automatic setting of both shift frequency and time step size is proposed. Multiscale models of transformers, synchronous machinery, and transmission lines based on FAST are developed. The line model is distinguished in that it bridges both lumped and distributed parameters to efficiently emulate scale-bridging phenomena from steady state to traveling waves. The overall methodology is thoroughly validated: first against a staged field test involving transients of line energization and recovery on the network of the Bonneville power Administration (BPA);then through comparison with an EMTP-type simulator in modeling diverse transients on a four-machine two-area powersystem.
With an increasing share of wind and solar energy in power generation, properly accounting for their temporal and spatial variability becomes ever more important in power system modeling. To this end, a high temporal ...
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With an increasing share of wind and solar energy in power generation, properly accounting for their temporal and spatial variability becomes ever more important in power system modeling. To this end, a high temporal resolution is desirable but due to computational restrictions rarely feasible in long-term models that span several decades. Therefore many of these models only include a small number of representative 'time slices' that aggregate periods with similar load and renewable electricity generation levels. The deliberate selection of the time slices to consider in a model is vital, as an inadequate choice may significantly distort the model outcome. However, established selection methods are only based on demand variations and are not applicable to input data with a large number of fluctuating time series, which is a drawback for models with high shares of renewable energy. In this paper, we present and validate a novel and computational efficient time slice approach that is readily applicable to input data for all kinds of powersystem models. We illustratively determine representative days for the long-term model LIMES-EU and show that a small number of model days developed in this way is sufficient to reflect the characteristic fluctuations of the input data. (C) 2016 Elsevier Ltd. All rights reserved.
Distributed generation has dramatically changed the structure of modern powersystems. In this structure, power electronic devices are extensively used providing the possibility of new control strategies in the distri...
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ISBN:
(纸本)9781467303422
Distributed generation has dramatically changed the structure of modern powersystems. In this structure, power electronic devices are extensively used providing the possibility of new control strategies in the distribution network. To implement these strategies, a complete dynamic analysis of the distributed generation system is needed. In this paper, exploiting a common feature of almost all the distributed generation components that is their individual modeling in Hamiltonian form, we propose a systematic methodology of obtaining the complete distributed generation system model. Furthermore, we show that this model is also in Hamiltonian form with certain damping properties that can be effectively used for stable control designs. As an example, a particular distributed generation system that includes wind and photovoltaic generations is modeled and simulated.
G.M.D is a WYSWYG(What You See is What You Get) method for power system modeling that makes graph, model and database unified, the traditional G.M.D is based on the special and private information model and models can...
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ISBN:
(纸本)0780374592
G.M.D is a WYSWYG(What You See is What You Get) method for power system modeling that makes graph, model and database unified, the traditional G.M.D is based on the special and private information model and models can not be exchanged or. merged between different sources. With the adoption of standard IEC 61970, G.M.D should be based on CIM to enable development the "plug-in" applications and the interoperable systems. This method is called CIM-Based G.M.D. This paper presents the basic principle of G.M.D and compares the traditional. G.M.D with CIM-Based G.M.D at first, then discusses the key technologies of CIM-Based G.M.D. Finally, the paper points out that CIM-Based G.M.D had better use the real-time database with orient-object, relational and hierarchy characteristics, form much more information automatically as possible and validate models with artificial intelligence knowledge to make sure that applications process models correctly.
This paper presents and discusses the design and implementation of an open source Python programming framework for research and education in power system modeling and simulation. The framework, named the powersystem ...
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ISBN:
(纸本)9781479900336;9781479900312
This paper presents and discusses the design and implementation of an open source Python programming framework for research and education in power system modeling and simulation. The framework, named the powersystem Oscillations Analyzer (PSOA), focuses particularly on providing the basic requirements to encourage rapid development of custom models and simulation software. The framework includes a custom modeling API to create powersystem models in an intuitive manner and a fully functional GUI for interaction with model data and the framework. Test results are also provided that demonstrate the capabilities of the framework in the analysis of the one machine infinite bus system.
Electrical powersystem engineers often face a challenge of modelingpowersystem components and performing complex calculations. This paper describes a teaching/learning process of modelingpowersystems networks and...
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ISBN:
(纸本)9781424408122
Electrical powersystem engineers often face a challenge of modelingpowersystem components and performing complex calculations. This paper describes a teaching/learning process of modelingpowersystems networks and performing network calculations in an object-oriented environment.
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