TY - GEN
T1 - Optimization Configuration Method of Inertia and Primary Frequency Regulation Coefficients in Grid-Forming Photovoltaic Energy Storage System Considering Capacity Limitations
AU - Shao, Zhenxing
AU - Liu, Jingrui
AU - Li, Wenbo
AU - Li, Jiapeng
AU - Liu, Yonghui
AU - Li, Yujun
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - As the proportion of renewable energy in the power system continues to increase, the inertia level of the system gradually decreases. Utilizing energy stor-age to provide inertia and primary frequency support for photovoltaic generation has become an effective means to address frequency stability issues. Parameters for frequency support that are too small cannot fully utilize the frequency modu-lation capability of optical energy storage systems, while parameters that are too large will lead to active power output limits of inverters during transient processes. In response to this, the paper proposes a method for optimizing the inertia and primary frequency modulation parameters of optical energy storage systems, tak-ing capacity limitations into account. First, based on the control equations of the grid-type optical energy storage system, the analytical relationship between fre-quency deviation, frequency deadband, primary frequency modulation coefficient, and inverter output is established to derive the feasible boundaries of the primary frequency modulation coefficient to ensure that the inverter and energy storage output do not exceed limitations. Secondly, with the constraints of optical energy storage system capacity limitations and the dynamic equations participating in transient frequency support, an optimization model for maximizing the frequency nadir of the optical energy storage system is established to determine the optimal virtual inertia coefficient. Finally, simulation analysis verifies the effectiveness of the proposed frequency support parameter optimization method.
AB - As the proportion of renewable energy in the power system continues to increase, the inertia level of the system gradually decreases. Utilizing energy stor-age to provide inertia and primary frequency support for photovoltaic generation has become an effective means to address frequency stability issues. Parameters for frequency support that are too small cannot fully utilize the frequency modu-lation capability of optical energy storage systems, while parameters that are too large will lead to active power output limits of inverters during transient processes. In response to this, the paper proposes a method for optimizing the inertia and primary frequency modulation parameters of optical energy storage systems, tak-ing capacity limitations into account. First, based on the control equations of the grid-type optical energy storage system, the analytical relationship between fre-quency deviation, frequency deadband, primary frequency modulation coefficient, and inverter output is established to derive the feasible boundaries of the primary frequency modulation coefficient to ensure that the inverter and energy storage output do not exceed limitations. Secondly, with the constraints of optical energy storage system capacity limitations and the dynamic equations participating in transient frequency support, an optimization model for maximizing the frequency nadir of the optical energy storage system is established to determine the optimal virtual inertia coefficient. Finally, simulation analysis verifies the effectiveness of the proposed frequency support parameter optimization method.
KW - Capacity Limitation
KW - Grid-forming Photovoltaic Energy Storage System
KW - Inertia Response
KW - Parameter Optimization
KW - Primary Frequency Regulation
UR - https://www.scopus.com/pages/publications/105000447847
U2 - 10.1007/978-981-96-1856-9_51
DO - 10.1007/978-981-96-1856-9_51
M3 - 会议稿件
AN - SCOPUS:105000447847
SN - 9789819618552
T3 - Lecture Notes in Electrical Engineering
SP - 497
EP - 508
BT - The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems
A2 - Sha, Aimin
A2 - Peng, Jishen
A2 - Rong, Cancan
A2 - Zhang, Li
A2 - Yan, XIaoheng
A2 - Jin, Zheming
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024
Y2 - 18 October 2024 through 20 October 2024
ER -