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Distributed Energy Resources Management

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ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

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.

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

Ensemble Forecasting Applied to Power Systems

Authors: ---
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

Authors: ---
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

Smart Energy Management for Smart Grids

Authors: ---
ISBN: 9783039281428 9783039281435 Year: Pages: 350 DOI: 10.3390/books978-3-03928-143-5 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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This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.

Keywords

seawater pumped storage --- renewable energy --- active distribution networks --- two-stage --- scheduling --- distributed generation --- storage device --- MILP --- ToU tariff --- optimization --- daily consumption curve --- peak/off-peak --- programmable appliances --- smart grid --- smart energy --- sustainability --- values --- technology acceptance --- technology adoption --- smart grid --- Smart Grid Station --- renewable energy sources --- energy management system --- smart metering --- feedback --- households --- energy and water consumption --- theories of social practice --- smart grid --- differentiation --- development demand --- comprehensive evaluation --- energy management system --- energy storage system --- semantic web technologies --- rules --- ontology --- engineering support --- smart grid architecture model --- model driven architecture --- IEC 61850 --- IEC 61499 --- energy storage system --- electricity charge discount program --- peak reduction --- economic feasibility analysis --- policy effectiveness evaluation --- occupant behavior --- single-person household --- energy consumption --- Korean Time Use Survey --- EnergyPlus --- data mining --- K-modes clustering --- support vector machine --- Gaussian process regression --- combined dispatch (CD) strategy --- optimization --- HOMER --- net present cost (NPC) --- sensitivity analysis --- renewable energy --- solar power generation prediction --- smart grid --- photovoltaic power --- machine learning --- electrical distribution system --- graph theory --- micro grids --- heuristic --- optimization --- planning --- unbalanced three-phase distribution networks --- optimal power flows --- genetic algorithm --- holomorphic embedding load flow method --- simulation --- forecasting --- solar generation --- storage capacity --- game theory --- nash equilibrium --- distributed energy management algorithm --- micro grid --- meta heuristic techniques --- R&amp --- D planning --- patent analysis --- sustainable smart grid technology --- R&amp --- D strategy --- STEEP analysis --- scenario planning --- electric vehicle charging technology --- multilayer perceptron neural network --- support vector machine --- cyberattacks --- optimal power flow --- smart grid security --- intruder detection system

Power Electronics in Renewable Energy Systems

Authors: ---
ISBN: 9783039210442 9783039210459 Year: Pages: 604 DOI: 10.3390/books978-3-03921-045-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

This book offers a collection of 30 scientific papers which address the problems associated with the use of power electronic converters in renewable energy source-based systems. Relevant problems associated with the use of power electronic converters to integrate renewable energy systems to the power grid are presented. Some of the covered topics relate to the integration of photovoltaic and wind energy generators into the rest of the system, and to the use of energy storage to mitigate power fluctuations, which are a characteristic of renewable energy systems. The book provides a good overview of the abovementioned topics.

Keywords

modular multilevel converter --- battery energy storage system --- state-of-charge balancing --- second-life battery --- multi-energy complementary --- microgrid --- demand response --- operation optimization --- electricity price --- peak-current-mode control --- dynamic modeling --- duty-ratio constraints --- discontinuous conduction mode --- FACTS devices --- active power filter --- static compensator --- control strategies --- grid-connected converter --- SPWM --- SVM --- maximum power point tracking --- open circuit voltage --- perturb and observe --- thermoelectric generator --- two-stage photovoltaic power --- virtual synchronous generator --- adaptive-MPPT (maximum power point tracking) --- improved-VSG (virtual synchronous generator) --- power matching --- failure zone --- governor --- frequency regulation --- inverter --- voltage-type control --- static frequency characteristics --- grid-connected converter --- adaptive resonant controller --- PLL --- impedance analysis --- distorted grid --- digital signal processor (DSP) TMS320F28335 --- grid-connected inverter --- internal model --- linear quadratic regulator --- LCL filter --- photovoltaic systems --- multilevel power converter --- soft switching --- selective harmonic mitigation --- phase shifted --- voltage cancellation --- adaptive control --- sliding mode control --- speed control --- wind energy system --- microgrid (MG) --- droop control --- washout filter --- hardware in the loop (HIL) --- active front-end converter --- back-to-back converter --- permanent magnet synchronous generator (PMSG) --- THD --- type-4 wind turbine --- wind energy system --- Opal-RT Technologies® --- synchronization --- adaptive notch filter (ANF) --- phase-locked loop (PLL) --- wind power prediction --- phase space reconstruction --- multivariate linear regression --- cloud computing --- time series --- multiple VSGs --- oscillation mitigation --- coordinated control --- small-signal and transient stability --- coordination control --- energy storage --- grid support function --- inertia --- photovoltaic --- virtual synchronous generator --- weak grid --- parallel inverters --- oscillation suppression --- notch filter --- impedance reshaping --- boost converter --- peak-current-mode control --- dynamic modeling --- discontinuous operation mode --- doubly-fed induction generator --- short-circuit fault --- frequency regulation --- variable power tracking control --- improved additional frequency control --- variable coefficient regulation --- inertia and damping characteristics --- generator speed control --- electrical power generation --- turbine and generator --- grid-connected converter --- organic Rankine cycle --- renewable energy --- multiport converter (MPC) --- single ended primary inductor converter (SEPIC) --- multi-input single output (MISO) --- renewable power system --- coupled oscillators --- virtual impedance --- synchronization --- power converters --- droop control --- virtual admittance --- distributed generation --- energy --- renewable energy --- microgrids --- Energy Internet --- energy router --- microgrid --- electric vehicle --- PV --- battery-energy storage --- DC-AC power converters --- impedance emulation --- stability analysis --- power-hardware-in- the-loop --- photovoltaic generators --- maximum power point tracking --- step size --- perturbation frequency --- source and load impedance --- transient dynamics --- stability --- grid synchronization --- power electronics --- power grid --- inverter --- grid-connected --- microgrid --- experiment --- modules --- synchronverter --- power ripple elimination --- resonant controller --- unbalanced power grid --- ROCOF --- PLL --- error --- low inertia --- VSC --- n/a

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2020 (4)

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