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Nanogrids, Microgrids, and the Internet of Things (IoT): Towards the Digital Energy Network

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ISBN: 9783039217946 9783039217953 Year: Pages: 128 DOI: 10.3390/books978-3-03921-795-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Driven by new regulations, new market structures, and new energy resources, the smart grid has been the trigger for profound changes in the way that electricity is generated, distributed, managed, and consumed. The smart grid has raised the traditional power grid by using a two-way electricity and information flow to create an advanced, automated power supply network. However, these pioneering smart grid technologies must grow to adapt to the demands of the current digital society. In today’s digital landscape, we can access feasible data and knowledge that were merely inconceivable. This Special Issue aims to address the landscape in which smart grids are progressing, due to the advent of pervasive technologies like the Internet of Things (IoT). It will be the advanced exploitation of the massive amounts of data generated from (low-cost) IoT sensors that will become the main driver to evolve the concept of the smart grid, currently focused on infrastructure, towards the digital energy network paradigm, focused on service. Furthermore, collective intelligence will improve the processes of decision making and empower citizens. Original manuscripts focusing on state-of-the-art IoT networking and communications, M2M communications, cyberphysical system architectures, big data analytics or cloud computing applied to digital energy platforms, including design methodologies and practical implementation aspects, are welcome.

Ensemble Forecasting Applied to Power Systems

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ISBN: 9783039283125 9783039283132 Year: Pages: 134 DOI: 10.3390/books978-3-03928-313-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

Distributed Energy Resources Management 2018

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ISBN: 9783039281701 9783039281718 Year: Pages: 286 DOI: 10.3390/books978-3-03928-171-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Keywords

clustering --- demand Response --- distributed generation --- smart grids --- demand-side management --- multi-agent system --- distributed coordination --- distributed energy resources --- swarm intelligence --- virtual power plant --- distributed energy resources --- multi-agent technology --- bidding strategy --- stackelberg dynamic game --- aggregator --- distribution system operator --- distributed energy resources --- local flexibility market --- flexibility service --- distributed energy --- comprehensive benefits --- multi-agent synergetic estimation --- synergistic optimization strategy --- control system --- fault-tolerant control --- algorithm design and analysis --- IoT (Internet of Things) --- nonlinear control --- optimization --- DSM --- microgrid --- solar --- wind --- teaching-learning --- microgrid --- energy storage system --- distributed generator --- frequency control --- active power control --- autonomous control --- droop control --- frequency bus-signaling --- batteries --- energy storage --- microgrids --- optimal scheduling --- particle swarm optimization --- power system management --- smart grid --- supply and demand --- trade agreements --- low voltage networks --- multi-period optimal power flow --- multi-temporal optimal power flow --- active distribution networks --- unbalanced networks --- indoor environment quality --- occupant comfort --- building climate control --- healthy building --- energy efficiency --- adaptability --- decentralized energy management system --- local energy trading --- multi-agent system --- optimization --- smart grid --- demand response --- distributed generation --- particle swarm optimization --- prosumer --- n/a

Microgrids

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ISBN: 9783039218684 9783039218691 Year: Pages: 108 DOI: 10.3390/books978-3-03921-869-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.

Keywords

demand-side management --- optimization --- deterministic optimization --- stochastic optimization --- residential users --- devices scheduling --- renewable sources --- storage systems --- electric energy market --- power quality --- chaos synchronization detection --- extension theory --- direct search method (DSM) --- microgrid (MG) --- distributed energy resources (DERs) --- distributed generation (DG) --- optimal dispatch --- microgrids --- multi-agent --- coordinated control --- IEC 61850 Standard --- generic object oriented substation event (GOOSE) communication --- power quality disturbances --- S-transform --- multiresolution --- particle swarm optimization --- decision tree --- reliability evaluation --- microgrid --- distributed generation --- battery storage --- vehicle-to-grid --- ruleless EV --- regular EV --- combined power generation system --- microgrid --- coordinative optimization of energy --- predictive control --- genetic algorithm --- distributed generation (DG) --- microgrid --- microgrid stability controller (MSC) --- total sliding-mode control --- hierarchical control scheme --- maximum electrical efficiency --- nonlinear programming --- solid oxide fuel cell --- electric vehicle (EV) --- vehicle-to-grid (V2G) --- isolated grid --- load frequency control (LFC) --- multivariable generalized predictive control (MGPC) --- current harmonic reduction --- active filter --- power quality --- buck-boost converter --- renewable energy source --- optimal capacity --- reliability --- renewable --- energy storage --- genetic algorithm --- DC microgrid --- communication delay --- droop control --- load power sharing --- mesh configuration --- radial configuration --- electric vehicle --- energy management system --- peak-shift --- peak-cut --- vehicle information system --- photovoltaic feasibility --- flexible generation --- distributed energy resources --- power quality --- DC distribution --- DC microgrid --- inrush current --- grounding --- DC architectures --- datacenter --- residential power systems --- telecommunication power management --- smart grids --- microgrid --- network planning --- power distribution --- grid independence --- distributed energy resources --- micro-grid --- IEC 61850 --- plug and play --- operation --- small-scale standalone microgrid --- HESS --- ESS effective rate --- coordinated control strategy --- cost and life --- technical and economic optimization --- microgrid --- flywheel energy storage (FES) --- doubly fed induction machine --- frequency control --- smoothing wind power --- distributed generation --- congestion problems --- medium-voltage networks --- curtailment --- flexibility --- microgrid test facility --- distributed generation --- integrated electrical and thermal grids --- flexible and configurable architecture --- energy efficiency --- distributed optimization --- optimal power flow --- microgrids --- embedded system --- smart grid --- smart inverter --- distributed energy resource --- power quality

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MDPI - Multidisciplinary Digital Publishing Institute (4)


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CC by-nc-nd (4)


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english (4)


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2020 (3)

2019 (1)