Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems

Chen, Xiaoyang, Du, Yang, Wen, Huiqing, Jiang, Lin ORCID: 0000-0001-6531-2791 and Xiao, Weidong (2019) Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 66 (3). pp. 1862-1871. ISSN 0278-0046, 1557-9948

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Abstract

Passing cloud results in rapid changes of irradiance. The intermittency of photovoltaic (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 cannot deal with the irradiance ramp-down fluctuations, and the high cost of the ESS is still hindering its extensive application. In this paper, 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. To provide the PV generation forecasts, a dynamic model based on spatio-temporal theory is formulated. The effectiveness of the proposed forecasting model and control strategies have been verified through experiment and case studies.

Item Type:	Article
Uncontrolled Keywords:	Active power curtailment (APC), energy storage sizing (ESS), power ramp-rate control (PRRC), solar forecasting
Depositing User:	Symplectic Admin
Date Deposited:	14 Nov 2018 11:28
Last Modified:	16 Jun 2026 06:04
DOI:	10.1109/TIE.2018.2840490
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3028831
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