Abstract
The harmonic interaction mechanism in a wind park is examined in this paper. The paper investigates the feasibility of a solution to the yet challenging harmonic contribution estimation from multiple sources in a wind park with limited available information, via an extension of a simple modeling approach as well as from detailed analysis of field measurements. The paper has two distinct objectives in assessing harmonic interactions (a) one to extend the classical Norton equivalent model to a multi-measurement wind park system and to suggest potential areas for further model developments from field measurement analysis, and (b) second to draw inferences from field measurements and to develop a new independent concept of analysis from long-term field measurements in the wind park. From practical experience, a new concept of analysis with a ‘harmonic interaction break-even point’ is introduced. With the help of it, one could identify whether the primary emission (emission from considered source) or secondary emission (emission from a distant source) dominates in the analysis period. In this way, the highest responsibility between different interacting time-varying harmonic sources is evaluated. It was concluded that from long-term measurements one can define a magnitude of power production where a certain harmonic order is canceled or reaches its lowest magnitude. If one finds this cancellation point, one can define a level of secondary/primary emission or at least a feasible range. This knowledge is a step forward towards harmonic contribution analysis.
Highlights
Harmonic contribution estimation has been studied progressively for years in many systems [1]–[5]
This paper further investigates how much information one can gain from field measurements for a solution to harmonic contribution estimation with limited information in a wind park
This paper contributes to the existing knowledge of harmonic interaction mechanisms in a wind park and investigates the feasibility to find a solution to harmonic contribution estimation in a wind park with limited information available
Summary
Harmonic contribution estimation has been studied progressively for years in many systems [1]–[5]. Pbreak−even indicates a clear transition of secondary emission dominating over primary emission or vice versa in the individual harmonic characteristics at the individual turbine terminal as well as at the aggregation point This observation is contrary to the earlier inferences drawn in [7], [12], and [13] that the utility often has the major responsibility for harmonic distortions at the aggregation point. (a) To understand the relative harmonic contribution of the wind park and the utility (the percent of shared responsibility) at the aggregation point, (b) which source has the highest responsibility to harmonics/interharmonics at the considered point of interest in the analysis period, and (c) to understand the time-varying nature of primary/secondary emissions.
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