A Study on Excitation Requirement and Power Balance of Self Excitation Induction Generator for Off-grid Applications Through Experiment and Simulation

Krishna, V.B. Murali; Vuddanti, Sandeep; Yadlapati, Kishore; Pidikiti, Tripura

doi:10.25103/jestr.146.19

Cited by 8 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In HOPSs, the reactive power can be compensated by the capacitor bank and/or flexible alternating current transmission system devices. Previous studies suggested different methods based on a fixed capacitor bank to supply the reactive power under steady-state conditions [9][10][11][12]. The PV inverter can compensate the reactive power when its apparent power capacity is increased more than the PV active power.…”

Section: Test System Configurationmentioning

confidence: 99%

Intelligent Optimized Voltage Control for Hybrid Off-Grid Power Systems

Anantwar¹,

Sunda

2023

jaes

View full text Add to dashboard Cite

Hybrid off-grid power systems with different renewable and non-renewable energy sources, such as wind, photovoltaics, and diesel generation, have a wide application scope in regions where grid extension is not possible. To supply quality power, hybrid off-grid power systems need proper reactive power management to deal with randomly changing load and supply. In particular, to realize dependable and quality power supply, hybrid off-grid power systems require suitable and efficient control techniques. A properly tuned controller of reactive power sources is crucial to maintain a prescribed voltage profile. Computational intelligence techniques such as particle swarm optimization can provide desired and acceptable solutions for optimization problems. In this study, we applied computational intelligent techniques for optimal control of reactive power sources, such as photovoltaic inverters and automatic voltage regulators for synchronous generators in diesel engines, to investigate dynamic voltage profile stability through reactive power management.

show abstract

Section: Test System Configurationmentioning

confidence: 99%

Intelligent Optimized Voltage Control for Hybrid Off-Grid Power Systems

Anantwar¹,

Sunda

2023

jaes

View full text Add to dashboard Cite

show abstract

“…Negative speed is achieved by keeping the rotor's speed above the synchronous speed [24]. As the IG is not a self-starting generator in isolated or off-grid mode, it requires a capacitor bank with a high enough reactive power (VAR/VAr) rating to self-excite [25]. The excitation capacitance of SEIG may be determined in several ways, and many of these have been published in the literature.…”

Section: Smart Load In Microgrid Systemmentioning

confidence: 99%

Real‐time voltage control of electric spring in islanded condition

Panda

Kundu

Rajpurohit

2023

IET Energy Syst Integration

View full text Add to dashboard Cite

Islanded microgrid network is sensitive to voltage and frequency fluctuations which becomes more vulnerable in the presence of external disturbance and the intermittent nature of Renewable Energy Sources (RESs). The “Electric Spring” (ES) is one of the most effective and efficient solutions for enhancing operational flexibility and RESs integration. A Self‐Excited Induction Generator (SEIG) based Micro hydro system with ES, non‐critical and critical loads is considered. Both non‐critical and critical loads are connected in 2:1 ratio in parallel with SEIG. The concept of voltage‐sensitive and non‐sensitive loads and the “power demand following the supply” idea have been incorporated for pointing up the contribution of ES. The non‐critical load coupled with a three‐phase inverter acts like an ES and can be operated as a Smart Load (SL). SL can compensate the voltage deviation between demand‐supply side, therefore mitigating the voltage fluctuations. The effectiveness of ES in terms of voltage regulation at the point of standard coupling has been achieved which improved the overall voltage profile of the hybrid microgrid system which can be observed from various test cases. A hardware in loop microgrid experimental platform is established and its results highlight the excellent performance of the proposed method.

show abstract