銆€璁插駭棰樼洰錛歋olar PV Power Smoothing using short-term forecasting Speaker: Dr. Yang Du Department of Electrical and Electronics Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China Abstract:
銆€銆€鏃墮棿錛?1鏈?7鏃?涓嬪崍14:00
銆€銆€鍦扮偣錛氳禌鍗氬崡妤?12瀹?br />銆€銆€璁插駭鍐呭綆€浠?Passing cloud results in rapid changes of irradiance. The intermittency of PV power output has drawn serious concern especially for utility-scale PV system. Consequently, power ramp-rate control (PRRC) has been introduced to avoid significant PV power fluctuations. PRRC is usually implemented either by curtailing active power output or implementing energy storage system (ESS). However, current active power curtailment (APC) cannot deal with the irradiance ramp-down fluctuations, and the high cost of ESS is still hindering its extensive application. In this talk, two innovative PRRC strategies are presented, which utilize the short-term forecasting. The first solution does not require any ESS, during the power ramp down event, the PV generation will be curtailed before the actual shading occurs. The second solution requires only one quarter of the energy capacity of the conventional ESS control strategy. The effectiveness of the proposed forecasting system and control strategies have been verified through experiment and case study. Yang Du received his Ph.D. degree in electrical engineering from The University of Sydney, Australia, in 2013. From 2013 to 2014, he was with Masdar Institute, Abu Dhabi, UAE, as a post-doctoral research fellow. Currently, he is a lecturer at Xi'an Jiaotong-Liverpool University, Suzhou, China. His research interests include power electronics application in photovoltaic system, grid integration of renewable energy and smart grid.
銆€銆€嬈㈣繋騫垮ぇ甯堢敓鍙傚姞錛?/p>
淇℃伅宸ョ▼瀛﹂櫌
2017騫?1鏈?3鏃?/p>
