Works matching IS 17521416 AND DT 2020 AND VI 14 AND IP 11
Results: 20
Microtabs for the mitigation of the tower shadow effect.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 2027, doi. 10.1049/iet-rpg.2019.1235
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- Article
Simple and fast computation photovoltaic emulator using shift controller.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 2017, doi. 10.1049/iet-rpg.2019.1504
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Novel MTDC droop scheme with decoupled power control for enhancing frequency stabilities of weak AC systems.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 2007, doi. 10.1049/iet-rpg.2019.1503
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Increment‐correction method for online distributed optimisation in distribution networks with extra‐high DER integration.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1933, doi. 10.1049/iet-rpg.2020.0043
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Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1997, doi. 10.1049/iet-rpg.2019.1155
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Cooperative optimisation strategy of comprehensive vulnerability of activedistribution network considering information interrupted.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1978, doi. 10.1049/iet-rpg.2019.0742
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Probabilistic active distribution network equivalence with correlated uncertain injections for grid analysis.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1964, doi. 10.1049/iet-rpg.2019.1068
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Hybrid resonant three‐level ZCS converter suitable for photovoltaic power MVDC distribution network.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1956, doi. 10.1049/iet-rpg.2019.1401
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Information‐gap decision theory based transient stability constrained optimal power flow considering the uncertainties of wind energy resources.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1946, doi. 10.1049/iet-rpg.2019.1367
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Estimation of PV module parameters from the manufacturer's datasheet for MPP estimation.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1988, doi. 10.1049/iet-rpg.2019.1377
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Flexible two‐stage robust model for moving the transmission and reactive power infrastructures expansion planning towards power system integration of renewables.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1921, doi. 10.1049/iet-rpg.2019.0287
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Probabilistic available transfer capability assessment in power systems with wind power integration.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1912, doi. 10.1049/iet-rpg.2019.1383
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Distributed Newton‐based voltage control method for high‐penetration PV generation cluster in active distribution networks.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1904, doi. 10.1049/iet-rpg.2020.0163
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Stability analysis for direct‐drive permanent magnet synchronous generator based wind farm integration system considering wind speed.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1894, doi. 10.1049/iet-rpg.2019.1143
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Improved prediction method of PV output power based on optimised chaotic phase space reconstruction.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1831, doi. 10.1049/iet-rpg.2019.0809
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Improvements to the H5 inverter topology for transformer‐less grid‐photovoltaic interface applications.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1873, doi. 10.1049/iet-rpg.2019.1199
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Sliding mode controller‐based voltage source inverter for power quality improvement in microgrid.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1860, doi. 10.1049/iet-rpg.2019.1305
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Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1850, doi. 10.1049/iet-rpg.2020.0172
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Wind turbine power coefficient models based on neural networks and polynomial fitting.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1841, doi. 10.1049/iet-rpg.2019.1162
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Influence of rotational inertia on the runner radial forces of a model pump‐turbine running away through the S‐shaped characteristic region.
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- IET Renewable Power Generation (Wiley-Blackwell), 2020, v. 14, n. 11, p. 1883, doi. 10.1049/iet-rpg.2019.1476
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