Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 21 for “"GENERATION AND DEMAND"”.
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Reliability assessment of non-utility generation and demand-side management In composite power systems
… utilities throughout the world. The conventional generation technologies that have been the backbone of every electric utility i.e., coal, hydro, nuclear, oil and natural gas, are being re-examined to address environmental concerns and resource utilization. The research described in this thesis …
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New modeling and control solutions for integrated microgrid system with respect to thermodynamics properties of generation and demand
… with respect to thermodynamics behaviors of generation and demand. First, a new integrated microgrid model is introduced. This model consists of a combined cycle power plant, a building with air-conditioning system and a renewable source. This integrated model allows researchers to study …
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Distributed schemes for stability and optimality in power networks
The generation, transmission and distribution of electricity underpins modern technology and constitutes a necessary element for our development and economic functionality. In the recent years, as a result of environmental concerns and technological advances, private and public investment have been …
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The use of hourly, rather than averaged, data time series modelling to improve projections of power usage and demand in California through to 2030
This thesis presents a comprehensive life-cycle and net energy analysis of California’s energy transition, focused on two major developments: the large-scale deployment of photovoltaic (PV) systems with lithium-ion battery (LIB) storage and the widespread adoption of battery electric vehicles …
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Design of Securing Mechanism for Power Converter in Navy Integrated Power and Energy Corridor
… first challenge is the increase in electrical generation and demand. The second challenge is that the loads will be more dynamic with more complex load profiles (e.g., pulses for energy weapons). A next-generation electrical system, Power Electronic Power Distribution System (PEPDS), is being …
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Operation under Uncertainty in Electric Grid: A Multiparametric Programming Approach
… level has been further elevated in both the generation and demand side of power systems. Increasing uncertainty exposes the electric grid to potential safety issues and economic loss, thus posing significant challenges to the grid operations. Traditionally, power system operations use …
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Learning-Based Situational Awareness, Decision Making, And Flexibility Aggregation for Power Distribution Systems with Uncertainty
… of distributed energy resources in both the generation and demand-side brings environmental benefits and technical challenges to electric power distribution systems. Specifically, due to the inherently intermittent nature of renewable energy resources and the invisible behaviors of customers …
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Power-Adaptive Computing in Future Energy Networks
… is increasing pressure to move away from power generation from fossil fuels, both due to ecological concerns and fear of dependencies on scarce natural resources. Increasing the share of decentralized generation from renewable sources is a widely accepted way to a more sustainable power …
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Real-time power system topology change detection and identification
This thesis proposes a framework for detection and identification of system topological changes in near real-time that utilizes the statistical properties of electricity generation and demand, which are assumed to be known. Instead of relying on offline models as with traditional methods, the …
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Analysis and Application of Deep Reinforcement Learning in the Context of Energy Economics and Energy Systems
… changed the energy sector. Both electricity generation and demand have become significantly more flexible, forcing the entire supply chain to adapt as traditional approaches reach their limits. While Deep Learning (DL) methods have been proposed to address this uncertainty, their practical …
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Modelos avanzados para la predicción a corto plazo de la producción eléctrica en parques eólicos
… are needed by the electric network Operator and by the managers of wind farms. The electric network Operator needs to know beforehand the value of the electric power generation and demand that is going to exist in each one of the buses of the System to obtain the correct operation. The …
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Computational Complexity of Electrical Power System Problems
… the creation of challenging benchmark examples; and new insights into the underling structure and properties of the problem. In this thesis, we study the computational complexity of several important problems in the application of electrical power systems. Knowledge of the current state of the …
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Computational Complexity of Electrical Power System Problems
… the creation of challenging benchmark examples; and new insights into the underling structure and properties of the problem. In this thesis, we study the computational complexity of several important problems in the application of electrical power systems. Knowledge of the current state of the …
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Computational models of natural gas markets for gas-fired generators
… is a major factor reforming the world's energy landscape today, and as electricity consumes 40% of total energy, huge efforts are being undertaken to reduce the carbon footprint within the electricity sector. The electric sector has been taking steps to reform the grid, retiring carbon-intensive …
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Two-Stage Stochastic Mixed Integer Nonlinear Programming: Theory, Algorithms, and Applications
… to devise novel mathematical optimization tools and develop computationally efficient solution approaches for solving them. Two-stage stochastic programming is one of the powerful modeling tools that allows probabilistic data parameters in mixed integer programming, a well-known tool for …
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The value of electricity storage under large-scale penetration of renewable energy : a hybrid modeling approach
Due to the physics of electricity, and the current high costs of storage technologies, electricity generation and demand need to be instantaneously balanced at all times. The large-scale deployment of intermittent renewables requires increased operational flexibility to accommodate fluctuating and …
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An Expert-based Approach for Demand Curtailment Allocation Subject to Communications and Cyber Security Limitations
… it allows incorporation of intelligent features and functions, e.g., meter reading, adaptive demand response, integration of distributed energy sources, substation automation, etc. All these intelligent features and functions are achieved by choosing appropriate communication technologies and …
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The Evolution of the Electrical Market: A Texas Journey
… has profoundly shaped our society. In the landscape of the United States, the power market of Texas stands out as a unique case study and offers us a peek into a future where renewables are not only possible but integral in the energy mix. Through a series of interactive data visualizations, …
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Factors Affecting the Optimal Sizing of Generators and Storage in Stand-Alone Hybrid Renewable Energy System
… of locations around the world. However, the size and cost of renewable energy generators and storage increase when they are used alone, due to the stochastic nature of sources. Reliability similar to the grid power supply can only be achieved by combining more complementary energy sources in the …
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Planificación estática de la red eléctrica de transporte mediante algoritmos genéticos
… de partida un escenario futuro de generación y demanda, que ha sido determinado previamente. El problema de la planificación de la red consiste, esencialmente, en determinar las inversiones que es necesario realizar en un horizonte temporal determinado, de forma que se satisfaga el crecimiento …
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