
The Contribution of Capacity Credit on Reliability of Generating System Adequacy
Author(s) -
Athraa Ali Kadhem
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/671/1/012027
Subject(s) - wind power , reliability (semiconductor) , reliability engineering , wind speed , electric power system , monte carlo method , computer science , power (physics) , investment (military) , electricity generation , capacity planning , engineering , electrical engineering , meteorology , mathematics , statistics , physics , quantum mechanics , politics , political science , law , operating system
A conventional generating unit is more reliable than a wind energy conversion system (WECS), in terms of capacity value. It performs an essential role in supplying reliable energy for electrical systems. Wind energy is considered a fundamental alternative source for electrical power generation. So far, it is difficult to secure wind speed data that covers a long period and is suitable for wind energy generation assessment. Generating wind power often includes uncertainties, due to the stochastic nature of wind speed. Hence, the capacity credit (CC) of the WECS is intermittent in nature. There are numerous approaches that can be adopted for evaluating the CC of wind power generation, for designing and planning new investment capacities. This paper examines the use of capacity credit from the WECS to obtain the load capacity benefit ratio (LCBR) for the reliability of power systems. To calculate CC, the IEEE-MRST-79 is used to elucidate the proposed technique. A sequential Monte Carlo simulation (SMCS) technique is used to determine the reliability of the generating systems which includes the WECS.