TY - GEN
T1 - Fast-Speed Power Reserve Control Scheme for Gird-Connected Photovoltaic Systems with Unitary Regression-based Real-Time MPP Estimation
AU - Zhu, Yinxiao
AU - Wen, Huiqing
AU - Zhang, Yuhan
AU - Bu, Qinglei
AU - Wang, Xue
N1 - Publisher Copyright:
© 2023 The Korean Institute of Power Electronics.
PY - 2023
Y1 - 2023
N2 - To meet the grid support functionalities in futuristic power electronics-dominated grid, power reserve control (PRC) has been introduced to ensure the inertia emulation capability in grid-connected photovoltaic systems (PVSs). However, conventional PRC methods showed several limitations in approaching the maximum available power (Pavi), such as extra hardware, implementation complexity and sophisticated samples-induced convergence speed degradations. With the proposed fast-speed PRC (FS-PRC) scheme, the Pavi could be estimated using only an independent pair of voltage and current samples via unitary linear regression rather than direct measurement or curve fitting, decoupling the high interaction between the reserve power maintenance and estimation mechanism. In addition, the FS-PRC method offers rapid convergence, high resilience, and enough compatibility with the existing PVSs, without increasing implementation costs. To validate the proposed FS-PRC scheme, comprehensive comparisons under various operating conditions is carried out.
AB - To meet the grid support functionalities in futuristic power electronics-dominated grid, power reserve control (PRC) has been introduced to ensure the inertia emulation capability in grid-connected photovoltaic systems (PVSs). However, conventional PRC methods showed several limitations in approaching the maximum available power (Pavi), such as extra hardware, implementation complexity and sophisticated samples-induced convergence speed degradations. With the proposed fast-speed PRC (FS-PRC) scheme, the Pavi could be estimated using only an independent pair of voltage and current samples via unitary linear regression rather than direct measurement or curve fitting, decoupling the high interaction between the reserve power maintenance and estimation mechanism. In addition, the FS-PRC method offers rapid convergence, high resilience, and enough compatibility with the existing PVSs, without increasing implementation costs. To validate the proposed FS-PRC scheme, comprehensive comparisons under various operating conditions is carried out.
KW - Grid support
KW - photovoltaic system
KW - power reserve control
KW - virtual inertia
UR - http://www.scopus.com/inward/record.url?scp=85170640407&partnerID=8YFLogxK
U2 - 10.23919/ICPE2023-ECCEAsia54778.2023.10213868
DO - 10.23919/ICPE2023-ECCEAsia54778.2023.10213868
M3 - Conference Proceeding
AN - SCOPUS:85170640407
T3 - ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics
SP - 2385
EP - 2390
BT - ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia
Y2 - 22 May 2023 through 25 May 2023
ER -