TY - GEN
T1 - Power ramp-rate control based on power forecasting for PV grid-Tied systems with minimum energy storage
AU - Chen, Xiaoyang
AU - Du, Yang
AU - Xiao, Weidong
AU - Lu, Shaofeng
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/15
Y1 - 2017/12/15
N2 - Passing cloud results in rapid changes of irradiance. The intermittency of PV power output has drawn serious concern when the system is connected to electricity networks. The energy storage system (ESS) is considered as the most promising solution to balance and smooth the PV generation. Consequently, power ramp-rate control (PRRC) has been introduced to avoid significant PV power fluctuations. However, the high cost of ESS is still hindering its extensive application. Therefore, an effective ESS control strategy is demanding to comply with the regulations whilst minimize the ESS power and energy capacity. In this paper, an innovative ESS control strategy is presented, which utilizes the short-Term forecasting. The solution activates the ESS system just before the actual cloud shading occurs. It requires only one-quarter of the energy capacity of the conventional ESS control strategy. The effectiveness of the proposed control strategy has been verified through simulation by using the real PV output power data of a 1 MW system.
AB - Passing cloud results in rapid changes of irradiance. The intermittency of PV power output has drawn serious concern when the system is connected to electricity networks. The energy storage system (ESS) is considered as the most promising solution to balance and smooth the PV generation. Consequently, power ramp-rate control (PRRC) has been introduced to avoid significant PV power fluctuations. However, the high cost of ESS is still hindering its extensive application. Therefore, an effective ESS control strategy is demanding to comply with the regulations whilst minimize the ESS power and energy capacity. In this paper, an innovative ESS control strategy is presented, which utilizes the short-Term forecasting. The solution activates the ESS system just before the actual cloud shading occurs. It requires only one-quarter of the energy capacity of the conventional ESS control strategy. The effectiveness of the proposed control strategy has been verified through simulation by using the real PV output power data of a 1 MW system.
UR - http://www.scopus.com/inward/record.url?scp=85046663072&partnerID=8YFLogxK
U2 - 10.1109/IECON.2017.8216445
DO - 10.1109/IECON.2017.8216445
M3 - Conference Proceeding
AN - SCOPUS:85046663072
T3 - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
SP - 2647
EP - 2652
BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Y2 - 29 October 2017 through 1 November 2017
ER -