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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| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| オンライン･アクセス: | ONIX_20240514_9783725800872_239 |
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| _version_ | 1869529348735762432 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-137641 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1376412024-05-14T13:53:46Z Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids Mohamed, Mohamed A. hybrid renewable energy system bonobo optimizer annualized system cost optimal solution convergence rate renewable energy fraction artificial intelligent algorithms energy conservation pareto analysis energy consumption eQUEST Revit value methodology distributed generator D-STATCOM fuzzy logic controller genetic algorithm power quality wind power integration low-frequency oscillations (LFOs) doubly-fed induction generators (DFIGs) power system stability damping characteristics dynamic economic environmental dispatch cow search algorithm seagull optimization algorithm tunicate swarm algorithm firefly algorithm optimal scheduling optimization methods dynamic thermal rating probabilistic energy demand two points approximation scheme wind power congestion management electricity optimization MPSO multi-objective optimization suitability power system stabilizer static synchronous series compensator type-2 fuzzy lead–lag controller differential evolution pattern search smart grid modern transportation system hybrid blockchain technology EV mobility machine learning synergetic control (SC) law fuzzy neural network (FNN) approximator fast terminal synergetic controller (FTSC) finite-time convergence DC/DC buck converter market price prediction modeling and management optimization renewable energy sources energy storage system (ESS) synchronverter wind energy frequency modulation (FM) capacity configuration microgrid binary orientation search algorithm demand side management real-time pricing energy management multi-objective management generation power uncertainty operating cost demand response energy smart-grid grid operator industrial customer Stackelberg–particle swarm optimization MPPT incremental conductance (IncCond) differential inverter differential flyback inverter (DFI) high-frequency transformer (HFT) continuous modulation scheme (CMS) harmonic compensation renewable Resources microgrids generation efficiency battery energy storage system service scheduling hybrid genetic algorithms simulated annealing algorithms tourism services sustainability tourism gas-insulated switchgear failure prediction parameter optimization improved particle swarm optimization algorithm active distribution network relay protection vector inspection back-to-back converter stability microgrid control distribution networks power electronics Gaussian distribution M-estimator power system state estimation precision robustness weighted least square method electric vehicles energy storage systems transmission lines planning multi-objective Gazelle optimization algorithm energy internet energy router common bus voltage cooperative control model transformation optimum power flow improved teaching–learning optimization heat and electrical demands combined heat and electricity systems photovoltaic cells modeling parameters estimation MSGO algorithm artificial neural network (ANN) solar photovoltaic (PV) maximum power point tracking Levenberg–Marquardt (LM) Bayesian regularization (BR) scaled conjugate gradient (SCG) resilient backpropagation (RP) blockchain local energy trading oracle networks peer-to-peer virtual power plant distributed energy resource distribution network planning distributed energy storage system flexibility quantization improved k-means clustering algorithm economic analysis hosting capacity market price bi-level optimization sodium–sulfur batteries uncertainty thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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. 2024-05-14T13:53:40Z 2024-05-14T13:53:40Z 2024 book ONIX_20240514_9783725800872_239 9783725800872 9783725800889 https://directory.doabooks.org/handle/20.500.12854/137641 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8839 https://mdpi.com/books/pdfview/book/8839 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0088-9 10.3390/books978-3-7258-0088-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800872 9783725800889 612 open access |
| spellingShingle | hybrid renewable energy system bonobo optimizer annualized system cost optimal solution convergence rate renewable energy fraction artificial intelligent algorithms energy conservation pareto analysis energy consumption eQUEST Revit value methodology distributed generator D-STATCOM fuzzy logic controller genetic algorithm power quality wind power integration low-frequency oscillations (LFOs) doubly-fed induction generators (DFIGs) power system stability damping characteristics dynamic economic environmental dispatch cow search algorithm seagull optimization algorithm tunicate swarm algorithm firefly algorithm optimal scheduling optimization methods dynamic thermal rating probabilistic energy demand two points approximation scheme wind power congestion management electricity optimization MPSO multi-objective optimization suitability power system stabilizer static synchronous series compensator type-2 fuzzy lead–lag controller differential evolution pattern search smart grid modern transportation system hybrid blockchain technology EV mobility machine learning synergetic control (SC) law fuzzy neural network (FNN) approximator fast terminal synergetic controller (FTSC) finite-time convergence DC/DC buck converter market price prediction modeling and management optimization renewable energy sources energy storage system (ESS) synchronverter wind energy frequency modulation (FM) capacity configuration microgrid binary orientation search algorithm demand side management real-time pricing energy management multi-objective management generation power uncertainty operating cost demand response energy smart-grid grid operator industrial customer Stackelberg–particle swarm optimization MPPT incremental conductance (IncCond) differential inverter differential flyback inverter (DFI) high-frequency transformer (HFT) continuous modulation scheme (CMS) harmonic compensation renewable Resources microgrids generation efficiency battery energy storage system service scheduling hybrid genetic algorithms simulated annealing algorithms tourism services sustainability tourism gas-insulated switchgear failure prediction parameter optimization improved particle swarm optimization algorithm active distribution network relay protection vector inspection back-to-back converter stability microgrid control distribution networks power electronics Gaussian distribution M-estimator power system state estimation precision robustness weighted least square method electric vehicles energy storage systems transmission lines planning multi-objective Gazelle optimization algorithm energy internet energy router common bus voltage cooperative control model transformation optimum power flow improved teaching–learning optimization heat and electrical demands combined heat and electricity systems photovoltaic cells modeling parameters estimation MSGO algorithm artificial neural network (ANN) solar photovoltaic (PV) maximum power point tracking Levenberg–Marquardt (LM) Bayesian regularization (BR) scaled conjugate gradient (SCG) resilient backpropagation (RP) blockchain local energy trading oracle networks peer-to-peer virtual power plant distributed energy resource distribution network planning distributed energy storage system flexibility quantization improved k-means clustering algorithm economic analysis hosting capacity market price bi-level optimization sodium–sulfur batteries uncertainty thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title_full | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title_fullStr | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title_full_unstemmed | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title_short | Emerging Technologies towards Energy Cooperation between Smart Grid and Microgrids |
| title_sort | emerging technologies towards energy cooperation between smart grid and microgrids |
| topic | hybrid renewable energy system bonobo optimizer annualized system cost optimal solution convergence rate renewable energy fraction artificial intelligent algorithms energy conservation pareto analysis energy consumption eQUEST Revit value methodology distributed generator D-STATCOM fuzzy logic controller genetic algorithm power quality wind power integration low-frequency oscillations (LFOs) doubly-fed induction generators (DFIGs) power system stability damping characteristics dynamic economic environmental dispatch cow search algorithm seagull optimization algorithm tunicate swarm algorithm firefly algorithm optimal scheduling optimization methods dynamic thermal rating probabilistic energy demand two points approximation scheme wind power congestion management electricity optimization MPSO multi-objective optimization suitability power system stabilizer static synchronous series compensator type-2 fuzzy lead–lag controller differential evolution pattern search smart grid modern transportation system hybrid blockchain technology EV mobility machine learning synergetic control (SC) law fuzzy neural network (FNN) approximator fast terminal synergetic controller (FTSC) finite-time convergence DC/DC buck converter market price prediction modeling and management optimization renewable energy sources energy storage system (ESS) synchronverter wind energy frequency modulation (FM) capacity configuration microgrid binary orientation search algorithm demand side management real-time pricing energy management multi-objective management generation power uncertainty operating cost demand response energy smart-grid grid operator industrial customer Stackelberg–particle swarm optimization MPPT incremental conductance (IncCond) differential inverter differential flyback inverter (DFI) high-frequency transformer (HFT) continuous modulation scheme (CMS) harmonic compensation renewable Resources microgrids generation efficiency battery energy storage system service scheduling hybrid genetic algorithms simulated annealing algorithms tourism services sustainability tourism gas-insulated switchgear failure prediction parameter optimization improved particle swarm optimization algorithm active distribution network relay protection vector inspection back-to-back converter stability microgrid control distribution networks power electronics Gaussian distribution M-estimator power system state estimation precision robustness weighted least square method electric vehicles energy storage systems transmission lines planning multi-objective Gazelle optimization algorithm energy internet energy router common bus voltage cooperative control model transformation optimum power flow improved teaching–learning optimization heat and electrical demands combined heat and electricity systems photovoltaic cells modeling parameters estimation MSGO algorithm artificial neural network (ANN) solar photovoltaic (PV) maximum power point tracking Levenberg–Marquardt (LM) Bayesian regularization (BR) scaled conjugate gradient (SCG) resilient backpropagation (RP) blockchain local energy trading oracle networks peer-to-peer virtual power plant distributed energy resource distribution network planning distributed energy storage system flexibility quantization improved k-means clustering algorithm economic analysis hosting capacity market price bi-level optimization sodium–sulfur batteries uncertainty thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | hybrid renewable energy system bonobo optimizer annualized system cost optimal solution convergence rate renewable energy fraction artificial intelligent algorithms energy conservation pareto analysis energy consumption eQUEST Revit value methodology distributed generator D-STATCOM fuzzy logic controller genetic algorithm power quality wind power integration low-frequency oscillations (LFOs) doubly-fed induction generators (DFIGs) power system stability damping characteristics dynamic economic environmental dispatch cow search algorithm seagull optimization algorithm tunicate swarm algorithm firefly algorithm optimal scheduling optimization methods dynamic thermal rating probabilistic energy demand two points approximation scheme wind power congestion management electricity optimization MPSO multi-objective optimization suitability power system stabilizer static synchronous series compensator type-2 fuzzy lead–lag controller differential evolution pattern search smart grid modern transportation system hybrid blockchain technology EV mobility machine learning synergetic control (SC) law fuzzy neural network (FNN) approximator fast terminal synergetic controller (FTSC) finite-time convergence DC/DC buck converter market price prediction modeling and management optimization renewable energy sources energy storage system (ESS) synchronverter wind energy frequency modulation (FM) capacity configuration microgrid binary orientation search algorithm demand side management real-time pricing energy management multi-objective management generation power uncertainty operating cost demand response energy smart-grid grid operator industrial customer Stackelberg–particle swarm optimization MPPT incremental conductance (IncCond) differential inverter differential flyback inverter (DFI) high-frequency transformer (HFT) continuous modulation scheme (CMS) harmonic compensation renewable Resources microgrids generation efficiency battery energy storage system service scheduling hybrid genetic algorithms simulated annealing algorithms tourism services sustainability tourism gas-insulated switchgear failure prediction parameter optimization improved particle swarm optimization algorithm active distribution network relay protection vector inspection back-to-back converter stability microgrid control distribution networks power electronics Gaussian distribution M-estimator power system state estimation precision robustness weighted least square method electric vehicles energy storage systems transmission lines planning multi-objective Gazelle optimization algorithm energy internet energy router common bus voltage cooperative control model transformation optimum power flow improved teaching–learning optimization heat and electrical demands combined heat and electricity systems photovoltaic cells modeling parameters estimation MSGO algorithm artificial neural network (ANN) solar photovoltaic (PV) maximum power point tracking Levenberg–Marquardt (LM) Bayesian regularization (BR) scaled conjugate gradient (SCG) resilient backpropagation (RP) blockchain local energy trading oracle networks peer-to-peer virtual power plant distributed energy resource distribution network planning distributed energy storage system flexibility quantization improved k-means clustering algorithm economic analysis hosting capacity market price bi-level optimization sodium–sulfur batteries uncertainty thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240514_9783725800872_239 |