Stochastic Optimization of Energy Management For Residential Systems with Distributed Energy Resources PDF Download
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Author: Faeza Hafiz
Publisher:
ISBN:
Category :
Languages : en
Pages : 152
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Book Description
Author: Faeza Hafiz
Publisher:
ISBN:
Category :
Languages : en
Pages : 152
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Book Description
Author: Yuanxiong Guo
Publisher: Springer
ISBN: 3319595296
Category : Computers
Languages : en
Pages : 84
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Book Description
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.
Author: Behnam Mohammadi-Ivatloo
Publisher: Springer
ISBN: 3319750976
Category : Technology & Engineering
Languages : en
Pages : 452
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Book Description
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.
Author: Ping Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
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Book Description
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.
Author: John Clint
Publisher:
ISBN:
Category : Distributed generation of electric power
Languages : en
Pages : 91
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Book Description
Author: Carlos Henggeler Antunes
Publisher: MDPI
ISBN: 3039211188
Category : Technology & Engineering
Languages : en
Pages : 194
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Book Description
This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies
Author: Yuan Yi
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author: Rachel G Hunter-Rinderle
Publisher:
ISBN:
Category : Electric power failures
Languages : en
Pages : 0
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Book Description
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.
Author: T. González Grandón
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Steffen Rebennack
Publisher: Springer Vieweg
ISBN: 9783834816078
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
This book provides an overview on stochastic optimization and its application in the Energy Industry. Special focus is given on hydro-thermal scheduling and, more generally, storage systems. The book begins by illuminating several approaches to deal with uncertainties (e.g., robust optimization, chance-constraints, stochastic optimization) and discusses their relations, advantages and disadvantages. Special focus is given on GAMS coded examples and the usage of the GAMS software. The book is very suitable for courses in business schools, system engineering, applied mathematics, operations research and energy producing industry.
