Analysis of capacity credit of wind power and the influence of hydrogen energy storage
Author(s) -
Andrea Agostini,
Ilkka Jokinen,
Matti Lehtonen,
Massimiliano Coppo
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3620880
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
With an increasing share of wind power generation, it is crucial to analyze its availability and effect on the reliability of power systems, to maintain a high level of security of supply. Moreover, since the annual generation can vary greatly, long term analysis is required. Thus, this study examined two independent methods for determining the capacity credit of wind power, considering a long period of 18 years. The first method was a time-period-based capacity credit which only considered wind power generation, and the second one a risk-based method, which analyzed the complete power system and its level of reliability. Moreover, with the risk-based method, the analysis considered different installed capacities for wind power and possible hydrogen storage coupled to the wind power. The results from the time-period-based capacity credit determined, that 8.8% and 3.1% of wind power capacity can be expected the be available with 90% and 98% confidence levels, respectively. In addition, with the risk-based method, the ratio between additional load that a system can supply by including wind power and installed wind capacity, decreased from 14.5% to 4.3% when the wind capacity was increased from 5.68 GW to 30 GW. Moreover, coupling an energy storage to the wind power generation improved its utilization and simultaneously the capacity credit by 2.6-4.6 percentage points. Furthermore, to obtain these results, wind power generation was modeled from 2004 to 2021.
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