Wind energy-harvesting technologies and recent research progresses in wind farm control models

Abstract

In order to sustain the overall competitiveness of the wind power industry, unrelenting focus is required on working toward the advancement of enabling technologies and research studies that are associated with wind farm systems. First, wind farm technologies that include various turbine generator systems coupled with different power transmission configurations have enormous impact in determining the quality of wind power production. In addition, modern wind farms are expected to implement robust power control algorithms to meet more advanced requirements of electricity generation. Accordingly, this study explores the statuses of wind energy harvesting technologies and wind farm control strategies by discussing their recent and future impact on transforming the wind power industry. Doubly fed induction generator (DFIG)-based wind energy harvesting technology is well-matured and has exhibited an excellent track-record in past and recent experiences, but its capability of being further scalable for large-scale power production is limited as it is largely incompatible with high-voltage power transmission networks. On the other hand, permanent magnet synchronous generator (PMSG)-based technology is making significant advancements to attain the maximum possible efficiency level in greatly facilitating larger scale power generation, although the construction of bulky and costly power transmission systems is required. In this regard, future technological advances in the wind farm industry are expected to reasonably optimize the design and cost of high-voltage power transmission systems. Similarly, an increasing number of research studies are introducing a number of power optimization-based control models to create an ideal integration of the aforementioned wind farm technologies so as to ultimately enhance the reliability of electricity production by maintaining the systems’ safety. Yet, additional work is still expected to be undertaken in the future for a more extended evaluation of the performances of many different control models under a similar environment.

Data-Driven Approach for Wind Farm Control: Toward an Alternative to FLORIS

“…In light of recent strides in wind farm control, research has progressively underlined the necessity for adept control strategies. Various studies have ventured into domains from power curve optimization to wake steering optimization, emphasizing collaborative strategies and the integration of diverse renewable energy sources [2]- [6]. Our work seeks to further this narrative, pioneering a pragmatic, innovative, data-driven solution.…”

Digital resonant control of power converters under variable grid frequency conditions

“…It supplies electric power directly to the consumer or connects to the main grid. Solar photovoltaic (PV) and wind energy-based power systems Dong et al (2023); Desalegn et al (2023); Khan et al (2022) are inherently stochastic in nature due to changing weather conditions such as irradiance and temperature variations in the case of the solar PV system and wind speed variations in the case of the wind energy conversion system. PV systems and wind integrated systems directly supply energy to the consumers such as residential, commercial, or industrial loads or connect to the main grid using DC-DC or DC-AC converters.…”