Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids
The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment which is moving away from traditional frameworks. Therefore, tending to microgrid systems to increase their range of benefits can play a sign...
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| Format: | E-Book |
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| Sprache: | Englisch |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| ISBN: | 9783725800889, 372580088X, 3725800871, 9783725800872 |
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| Abstract | The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment which is moving away from traditional frameworks. Therefore, tending to microgrid systems to increase their range of benefits can play a significant role in outlining an effective negotiation framework for the microgrids that are connected to the smart grid. In recent years, numerous research and development projects have been carried out to design energy transactions and economic models and implement local control platforms for manufacturers, consumers, and microgrids. Furthermore, the attention paid to peer-to-peer constructions for energy exchanges and management has grown significantly. This Reprint highlights and discusses the appropriate negotiation structures to maximize the benefits of microgrids that are connected to the smart grid and contributes to the derivation of sustainable future energy systems. In addition to modern techniques for managing uncertainty parameters regarding the microgrid and smart grid, this Reprint also examines multilateral economic distribution frameworks that need to be implemented easily and efficiently without the need for a central agent, with a limited exchange of information comprising the amount and price of the energy exchange. |
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| AbstractList | The growing propagation of microgrids and their remarkable effects on the operation of the smart grid is leading to the development of a sustained environment which is moving away from traditional frameworks. Therefore, tending to microgrid systems to increase their range of benefits can play a significant role in outlining an effective negotiation framework for the microgrids that are connected to the smart grid. In recent years, numerous research and development projects have been carried out to design energy transactions and economic models and implement local control platforms for manufacturers, consumers, and microgrids. Furthermore, the attention paid to peer-to-peer constructions for energy exchanges and management has grown significantly. This Reprint highlights and discusses the appropriate negotiation structures to maximize the benefits of microgrids that are connected to the smart grid and contributes to the derivation of sustainable future energy systems. In addition to modern techniques for managing uncertainty parameters regarding the microgrid and smart grid, this Reprint also examines multilateral economic distribution frameworks that need to be implemented easily and efficiently without the need for a central agent, with a limited exchange of information comprising the amount and price of the energy exchange. |
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| SubjectTerms | active distribution network annualized system cost Applied mathematics artificial intelligent algorithms artificial neural network (ANN) back-to-back converter battery energy storage system Bayesian regularization (BR) bi-level optimization binary orientation search algorithm blockchain bonobo optimizer capacity configuration combined heat and electricity systems common bus voltage congestion management continuous modulation scheme (CMS) convergence rate cooperative control cow search algorithm D-STATCOM damping characteristics DC/DC buck converter demand response demand side management differential evolution differential flyback inverter (DFI) differential inverter distributed energy resource distributed energy storage system distributed generator distribution network planning distribution networks doubly-fed induction generators (DFIGs) dynamic economic environmental dispatch dynamic thermal rating economic analysis electric vehicles electricity optimization energy energy conservation energy consumption energy internet energy management energy router energy storage system (ESS) energy storage systems eQUEST EV mobility failure prediction fast terminal synergetic controller (FTSC) finite-time convergence firefly algorithm flexibility quantization frequency modulation (FM) fuzzy logic controller fuzzy neural network (FNN) approximator gas-insulated switchgear Gaussian distribution generation efficiency generation power uncertainty genetic algorithm grid operator harmonic compensation heat and electrical demands high-frequency transformer (HFT) hosting capacity hybrid blockchain technology hybrid genetic algorithms hybrid renewable energy system improved k-means clustering algorithm improved particle swarm optimization algorithm improved teaching–learning optimization incremental conductance (IncCond) industrial customer Levenberg–Marquardt (LM) local energy trading low-frequency oscillations (LFOs) M-estimator machine learning market price market price prediction Mathematics Mathematics and Science maximum power point tracking microgrid microgrid control microgrids model transformation modeling modeling and management modern transportation system MPPT MPSO multi-objective optimization MSGO algorithm multi-objective Gazelle optimization algorithm multi-objective management operating cost optimal scheduling optimal solution optimization optimization methods optimum power flow oracle networks parameter optimization parameters estimation pareto analysis pattern search peer-to-peer photovoltaic cells power electronics power quality power system stability power system stabilizer power system state estimation precision probabilistic energy demand real-time pricing relay protection renewable energy fraction renewable energy sources renewable Resources resilient backpropagation (RP) Revit robustness scaled conjugate gradient (SCG) seagull optimization algorithm service scheduling simulated annealing algorithms smart grid sodium–sulfur batteries solar photovoltaic (PV) stability Stackelberg–particle swarm optimization static synchronous series compensator suitability sustainability tourism synchronverter synergetic control (SC) law tourism services transmission lines planning tunicate swarm algorithm two points approximation scheme type-2 fuzzy lead–lag controller uncertainty value methodology vector inspection virtual power plant weighted least square method wind energy wind power wind power integration |
| Title | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
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