Abstract:
With the increasing growth of renewable energy (RE), it is becoming increasingly important for RE plants to participate in the grid support services that conventional pow...Show MoreMetadata
Abstract:
With the increasing growth of renewable energy (RE), it is becoming increasingly important for RE plants to participate in the grid support services that conventional power plants have traditionally provided. Therefore, estimating RE plants' instantaneous maximum available power (MAP) has become essential to accurately measure their capability to participate in system frequency regulation and maintain a reserve generation margin. The procedure is particularly challenging for a solar photovoltaic power plant (PVPP) because of the intermittency and variability of solar irradiance. MAP estimation becomes more complicated during cloud shading when the PVPP experiences sharp changes in irradiance than under a clear sky. In this context, pyranometers could be crucial in estimating the MAP. However, the associated investment and maintenance are capital-intensive. To address this limitation, this paper proposes one easy-to-implement method to determine the minimum possible pyranometers needed to estimate MAP accurately, which would help assess the PVPP's frequency support capability.
Date of Conference: 01-05 November 2022
Date Added to IEEE Xplore: 11 January 2023
ISBN Information: