Enabling Renewable Energy, Energy Storage, Demand Response, and Energy Efficiency with a Community-based Master Controller-optimizer PDF Download
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Author: Byron Washom
Publisher:
ISBN:
Category : Energy development
Languages : en
Pages : 204
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Book Description
Author: Byron Washom
Publisher:
ISBN:
Category : Energy development
Languages : en
Pages : 204
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Book Description
Author: California Energy Commission. Public Interest Energy Research
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 86
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Book Description
Author: Trudie Wang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
As concerns for the environment and energy independence leads a transition towards a power grid that depends increasingly on energy from renewable resources like solar and wind, the integration and intelligent control of distributed energy resources (DER) including photovoltaic (PV) arrays, controllable loads, energy storage (ES) and the batteries in plug-in electric vehicles (EVs) will be critical to realizing a power grid that can handle both the variability and unpredictability of renewable energy sources as well as increasing system complexity. In addition to providing added system reliability, DERs acting in coordination can be leveraged to address supply-demand imbalances through Demand Response (DR) and/or price signals on the electric power grid by enabling continuous bidirectional load balancing. Intelligent control and integration has the capability to reduce or shift demand peaks and improve grid efficiency by offsetting the need for spinning reserves and peaking power plants. In this dissertation, the use of dynamic and distributed algorithms that can handle the higher penetration of renewable resources in a more open and transparent energy market is explored. Specifically, we look at solving the power scheduling problem using Model Predictive Control (MPC) to ensure a dynamic response and the Alternating Direction Method of Multipliers (ADMM) to distribute the optimization problem when apropos. MPC allows the DERs to be adaptive and robust while ADMM encourages each DER to cooperate to achieve system-level goals while still operating and functioning independently. This enables policies and incentives to co-develop and work with optimization and control technologies to ensure a smooth transition to an infrastructure that can run on renewable energy resources and a more distributed grid. Climate change and ecological concerns coupled with economic concerns over fossil fuel prices are addressed not only through the integration of cleaner energy sources, but also by providing a way to encourage participation throughout the grid. Since the forthcoming grid will require integrating renewable energy at all different levels, we look specifically at an example of generation in a grid-connected PV system with storage as well as a distributed microgrid with onsite PV generation and demand response capabilities. We present simulation results that demonstrate the ability of the algorithms to respond dynamically to external price signals and provide benefits to the grid while respecting and maintaining the functional requirements of the local resources. Each example uses real data taken from measurements at generation and demand sites. While we focus on two of the more popular solutions currently being explored, the platforms using the algorithms are application agnostic in the sense that they can include a range of DERs with varying objectives. Since the algorithms used are both flexible and scalable, devices can be easily integrated as more come online. The platforms can also be implemented in remote areas and developing countries. In addition to demonstrating that such platforms can be implemented dynamically in real-time, the algorithms can also be used in models and simulations as a design tool to inexpensively develop future systems with more generation from renewable resources which can still operate efficiently and reliably.
Author: Yuanzheng Li
Publisher: Springer Nature
ISBN: 9819703123
Category :
Languages : en
Pages : 288
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Book Description
Author: Tianyou Shao
Publisher: GRIN Verlag
ISBN: 3668642613
Category : Science
Languages : en
Pages : 111
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Book Description
Master's Thesis from the year 2017 in the subject Engineering - Power Engineering, grade: 2.0, RWTH Aachen University (Institute for Automation of Complex Power Systems), language: English, abstract: To rise to the challenge of the growing number of distributed Renewable Energy Sources (RES) for grid integration, Ancillary Service (AS) is increasingly crucial to maintaining the stability of power grid worldwide. In recent years, discussions about Data Centers (DCs) no longer limit to their energy efficiency. Considering the rising rigid demand from ICT customer and the high energy demand of DC, it is possible for DC to be one of Demand Response (DR) resources providing ASs in the smart grid. This thesis presents an online energy-aware scheduling algorithm based on Model Predictive Control (MPC), which realizes a proper adjustment of DC power demand, enabling the flexible operation of DC. The present work focuses on the identification and implementation of an MPC strategy which aims at a proper scheduling for DC which makes the total power consumption of DC flexible to track the reference signal in a DR context. It is demonstrated how the combination and interaction of the components under DC architecture can be utilized to achieve the realizable potential of operational flexibility for AS. Numerical simulation results have been carried out aimed at the later application in real pilot DCs. Furthermore, the capacity of resisting disturbance of this MPC approach has been discussed.
Author: California Energy Commission. Energy Research and Development Division
Publisher:
ISBN:
Category : Energy conservation
Languages : en
Pages : 122
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Book Description
Author: Sarat Kumar Sahoo
Publisher: Frontiers Media SA
ISBN: 2832541674
Category : Technology & Engineering
Languages : en
Pages : 196
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Book Description
The advancement of sustainable energy is becoming an important concern for many countries. The traditional electrical grid supports only one-way interaction of power being delivered to the consumers. The emergence of improved sensors, actuators, and automation technologies has consequently improved the control, monitoring and communication techniques within the energy sector, including the Smart Grid system. With the support of the aforementioned modern technologies, the information flows in two-ways between the consumer and supplier. This data communication helps the supplier in overcoming challenges like integration of renewable technologies, management of energy demand, load automation and control. Renewable energy (RE) is intermittent in nature and therefore difficult to predict. The accurate RE forecasting is very essential to improve the power system operations. The forecasting models are based on complex function combinations that include seasonality, fluctuation, and dynamic nonlinearity. The advanced intelligent computing algorithms for forecasting should consider the proper parameter determinations for achieving optimization. For this we need, new generation research areas like Machine learning (ML), and Artificial Intelligence (AI) to enable the efficient integration of distributed and renewable generation at large scale and at all voltage levels. The modern research in the above areas will improve the efficiency, reliability and sustainability in the Smart grid.
Author: Farkhondeh Jabari
Publisher: Springer Nature
ISBN: 3030424200
Category : Technology & Engineering
Languages : en
Pages : 357
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Book Description
This book presents design principles, performance assessment and robust optimization of different poly-generation systems using renewable energy sources and storage technologies. Uncertainties associated with demands or the intermittent nature of renewables are considered in decision making processes. Economic and environmental benefits of these systems in comparison with traditional fossil fuels based ones are also provided. Case studies, numerical results, discussions, and concluding remarks have been presented for each proposed system/strategy. This book is a useful tool for students, researchers, and engineers trying to design and evaluate different zero-energy and zero-emission stand-alone grids.
Author: Franziska Adamek
Publisher:
ISBN: 9783869559391
Category :
Languages : en
Pages : 161
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Book Description
Author: Fekik, Arezki
Publisher: IGI Global
ISBN: 1799874494
Category : Technology & Engineering
Languages : en
Pages : 355
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Book Description
The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.
