Strategy comparison of power ramp rate control for photovoltaic systems

Lin, Dingyi, Li, Xingshuo, Ding, Shuye, and Du, Yang (2020) Strategy comparison of power ramp rate control for photovoltaic systems. CPSS Transactions on Power Electronics and Applications, 5 (4). 20284541. pp. 329-341.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://doi.org/10.24295/CPSSTPEA.2020.00...
 
1


Abstract

The high variability rate of solar irradiance can lead to fluctuations in the photovoltaic (PV) power generation. Consequently, it will bring severe challenges to the stable operation of the power grid. In order to mitigate those problems, the power ramp rate control (PRRC) is required by some utilities. Generally, the PRRC can be achieved by using two methods: energy storage systems (ESS) or active power curtailment. However, there is a lack of comparison of those methods on economic performance. Usually, the levelized cost of energy (LCOE) index is adopted to quantify and compare the cost for different methods. In previous work, an ideal value of ESS lifetime is mostly set to analyze the LCOE. However, the different ESS methods may require the battery to operate at different regimes (i.e., number of cycles and depth of discharger), which directly affects the lifetime. Thus, the battery aging is necessarily introduced to compare the LCOE. In order to fill this gap, this work demonstrates an evaluation of aging through the annual simulations using actual irradiance data. This is done for the LCOE of different PRRCs to determine which is the most cost-effective method.

Item ID: 65695
Item Type: Article (Research - C1)
ISSN: 2475-742X
Keywords: Batteries, Aging, Smoothing methods, Photovoltaic systems, Layout, Economics, Predictive models
Related URLs:
Copyright Information: © 2020 the authors.
Funders: Nanjing Normal University, National Natural Science Foundation of China (NNSFC), Jiangsu Province
Projects and Grants: Nanjing Normal University grant 184080H202B232, NNSFC grant 51977112, Jiangsu Province Graduate Science and Innovation Projects grant KYCX19-0808
Date Deposited: 09 Mar 2021 00:33
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400803 Electrical energy generation (incl. renewables, excl. photovoltaics) @ 50%
40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 50%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
Downloads: Total: 1
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page