TY - GEN
T1 - Research on Conventional Power Distribution Systems with Integration of Modern Smart Distributed Generation for Power Quality in Renewable Generation
AU - Ali, Abid
AU - Huma, Zunaira
AU - Zahoor, Nabeel
AU - Yuanqing, Xia
AU - Ullah, Irfan
AU - Hussain, Akhtar
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the modern era, domestic and industrial users have observed a rapidly increasing trend toward clean, green, secure, reliable, and sustainable use of renewable energy sources (RES) based the electric power generation. These scenarios further boost the national and international market by introducing distributed generation (DG), a modern innovative power generation. DG plays a vital role in the energy sector, helps reduce CO2 emissions globally, and decreases the dependency upon the conventional source of power generation (i.e., burning fossil fuel, coal, and natural gas). In addition, government incentive has further boosted RES use as a generating source in the modern power generation sector. With all these benefits, unplanned and arbitrary placement of these static generation sources into conventional power distribution systems has several critical impacts on the system operation and control in the form of system stability (SS) and power quality (PQ). This paper presents a comprehensive research comparison between two systems (without DG integration and with DG integration) to analyze these dynamic parameters using different stochastic iterative techniques (i.e., load flow analysis for steady-state operation, transient stability analysis for analyzing the system behavior under abrupt fault conditions, and harmonics analysis to analyze the RES impact on systems in term of harmonics). At last power quality of both systems is evaluated based on dynamic parameters results.
AB - In the modern era, domestic and industrial users have observed a rapidly increasing trend toward clean, green, secure, reliable, and sustainable use of renewable energy sources (RES) based the electric power generation. These scenarios further boost the national and international market by introducing distributed generation (DG), a modern innovative power generation. DG plays a vital role in the energy sector, helps reduce CO2 emissions globally, and decreases the dependency upon the conventional source of power generation (i.e., burning fossil fuel, coal, and natural gas). In addition, government incentive has further boosted RES use as a generating source in the modern power generation sector. With all these benefits, unplanned and arbitrary placement of these static generation sources into conventional power distribution systems has several critical impacts on the system operation and control in the form of system stability (SS) and power quality (PQ). This paper presents a comprehensive research comparison between two systems (without DG integration and with DG integration) to analyze these dynamic parameters using different stochastic iterative techniques (i.e., load flow analysis for steady-state operation, transient stability analysis for analyzing the system behavior under abrupt fault conditions, and harmonics analysis to analyze the RES impact on systems in term of harmonics). At last power quality of both systems is evaluated based on dynamic parameters results.
KW - Conventional Distribution System
KW - Distributed Generation (DG)
KW - Harmonic Analysis (HA)
KW - Load Flow Analysis (LFA)
KW - Power Quality (PQ)
KW - Transient Stability Analysis (TSA)
UR - http://www.scopus.com/inward/record.url?scp=85152189125&partnerID=8YFLogxK
U2 - 10.1109/ICEEST56292.2022.10077882
DO - 10.1109/ICEEST56292.2022.10077882
M3 - Conference contribution
AN - SCOPUS:85152189125
T3 - 2022 International Conference on Electrical Engineering and Sustainable Technologies, ICEEST 2022 - Proceedings
BT - 2022 International Conference on Electrical Engineering and Sustainable Technologies, ICEEST 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Electrical Engineering and Sustainable Technologies, ICEEST 2022
Y2 - 14 December 2022 through 15 December 2022
ER -