Performance modelling for wind turbines operating in harsh conditions

Abstract

SUMMARYThis paper presents a new method of online wind turbine performance modelling (recursive parameter estimation) that addresses the nonlinearity associated with wind turbine performance characteristics. A sliding linearization algorithm is implemented to track changes in the turbine operating environment. A multivariate polynomial approximation of the turbine power coefficient is developed to produce a linear process model approximating the operating wind turbine. The estimated model parameters are recursively calculated to compensate for changes in both the turbine operating environment and the condition of the wind turbine. The algorithm models both the steady-state and dynamic wind turbine performance throughout the entire operating range, producing a continuously valid turbine linearization with applications in gain scheduling and turbine performance optimization.

Industrial innovation and infrastructure as drivers of change in the Canadian boreal zone1

“…The stored hydrogen gas powers generators to provide the community with electricity when the wind energy output is insufficient to meet community demand (NRCAN 2016g). Improvements in turbine designs that are cold-weather friendly with deicing and anti-icing mechanisms are being developed that have the potential to continue operating efficiently under extreme conditions (Little and Pope 2017;NRCAN 2017). Other innovations include turbines that are bird friendly (Putic 2015), and when coupled with regulatory measures that encourage stopping of turbines when wind speeds are low coincides with times when bats are most active and reduces bat mortality by 30% (AWEA 2015).…”

Wind turbine generation performance monitoring with Jaya algorithm

“…Because WTPC models are determined by the model parameters, parameter estimation methods have been widely studied. As shown in previous studies, [10][11][12] the least-square methods were usually employed to estimate parameters of WTPCs. However, prior knowledge about these estimated parameters are required, and improper parameter initializations may lead to non-optimal solutions.…”

A PI‐Type Sliding Mode Controller Design for PMSG‐Based Wind Turbine

“…At present, wind energy is the fastest growing renewable energy source and is most prevalent in coastal regions spanning temperate and boreal climates [6][7][8]. There is great potential for wind power development in China, USA, Denmark, and other countries, due to their high average wind velocities [9]. Therefore, the research on wind power generation technology has a significant value nowadays.…”