Results 91 to 100 of about 908 (183)

A hybrid renewable energy system with advanced control strategies for improved grid stability and power quality. [PDF]

Sci Rep
Slimene MB, Khlifi MA.
europepmc   +1 more source

Artificial intelligence-driven optimal charging strategy for EV with integrated power quality enhancement in electric power grids. [PDF]

Sci Rep
K S, C M.
europepmc   +1 more source

An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid. [PDF]

Heliyon
Bhutto JK.
europepmc   +1 more source

Analysis of DFIG-STATCOM P2P control action using simulated annealing techniques. [PDF]

Heliyon, 2022
Hete RR, Mishra SK, Dash R, Ballaji A, Subburaj V, Jyotheeswara Reddy K.   +5 more
europepmc   +1 more source

Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems. [PDF]

Sci Rep
El Sayed NG, Yousef AM, El-Saady G, Alanazi MD, Ziedan HA, Abdelsattar M.   +5 more
europepmc   +1 more source

Optimal D-STATCOM placement and sizing using a novel bird swarm operated exploitation of elephant herd algorithm. [PDF]

Sci Rep
Tejaswini V, Susitra D.
europepmc   +1 more source

ML techniques increasing the power factor of a compression ignition engine that is powered by Annona biodiesel using SATACOM. [PDF]

Sci Rep
Munimathan A, Rajendran S, Tripathi AK, Jayabalan J, Palanivel V, Varma R, Prabhakar S, Alwetaishi M.   +7 more
europepmc   +1 more source

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC. [PDF]

Sci Rep, 2023
Ravi T, Kumar KS, Dhanamjayulu C, Khan B, Rajalakshmi K.   +4 more
europepmc   +1 more source

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids. [PDF]

Sci Rep
Varghese LJ, Jacob SS, Selvaraj J, Azerefegn TM.   +3 more
europepmc   +1 more source

Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization. [PDF]

Heliyon
Ngei UM, Nyete AM, Moses PM, Wekesa C.
europepmc   +1 more source