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Advanced Modeling and Research in Hybrid Microgrid Control and Optimization
| Advanced Modeling and Research in Hybrid Microgrid Control and Optimization |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
51 percent attack
automatic generation control battery Blockchain Governance Game capacitor cascaded multilevel inverter connected car consumer planning consumption monitoring controllers current imbalance differential flatness double feed induction generator double-layer capacitor dynamic programming electric vehicle energy management energy storage systems firefly algorithm fluctuation theory fuel cell system fuel cell vehicle fuel economy genetic algorithms gravitational search algorithm grid frequency and amplitude support grid-tied mode Harris hawks optimizer (HHO) hybrid gravitational with fire fly algorithm interconnected power system interleaved converter Internet of Vehicles IoT security IoV leakage current load frequency control load-following location-allocation problem LQR-PI control microgrid mixed game mobile charging station moth flame optimizer (MFO) multi-stack multisource power system nonlinear control operational mode optimization issue optimization techniques photovoltaic Polymer Electrolyte Membrane Fuel Cell (PEMFC) power electronics power quality real-time optimization real-time strategy renewable energy renewable energy sources second order equation smart grid stability analysis stochastic model supercapacitor switching strategy wind technology (WT) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557439603321 |
Bizon Nicu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Smart Grid Systems
| Future Smart Grid Systems |
| Autore | Short Michael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (241 p.) |
| Soggetto topico |
Research and information: general
Technology: general issues |
| Soggetto non controllato |
automatic intrusion mitigation unit
binary logistic regression capacity prediction centralised hydrogen production community energy management conditional value at risk continuous wavelet transform (CWT) cost analysis cybersecurity decentralized deep neural networks demand flexibility demand response digitalization dynamic programming energy management energy storage FPID controller HVAC control hydrogen economy improved multi-layer artificial bee colony algorithm industry 4.0 interconnected power system island communities life cycle costing lithium-ion battery market regulations methane reforming microgrid nonlinear optimization optimization parameter tuning phasor machine learning regulatory barriers renewable energy risk-based hybrid demand response Sensors short-term load forecasting smart grids (intelligent networks) state of health estimation storage policy sustainability SWOT analysis time-frequency image analysis two-stage optimization uncertainties Virtual Oscillator Control voltage-mode inverter water electrolysis wireless network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557604803321 |
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Short Michael
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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