2014 American Control Conference 2014
DOI: 10.1109/acc.2014.6858992
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Transient losses in synchronizing renewable energy integrated power networks

Abstract: This paper quantifies the transient power losses incurred in re-synchronizing a network of generators and loads. The power system is represented using a network preserving model with loads and asynchronous generators modeled as frequency dependent power injections, which we refer to as 'first-order oscillators'. Coupling these models with the swing equations of traditional generators leads to a mixed-oscillator system. The power flows used to maintain network synchronization induce resistive (real power) losse… Show more

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Cited by 10 publications
(17 citation statements)
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“…Remark 4: While results in this paper are only valid for Kron-reduced networks of synchronous generators modeled by second-order swing equations, ongoing work [36] indicates that the main results presented in this paper extend to more general systems. That work employs an extended, structure-preserving network model with load dynamics and (19).…”
Section: B Systems Of Non-identical Generatorsmentioning
confidence: 79%
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“…Remark 4: While results in this paper are only valid for Kron-reduced networks of synchronous generators modeled by second-order swing equations, ongoing work [36] indicates that the main results presented in this paper extend to more general systems. That work employs an extended, structure-preserving network model with load dynamics and (19).…”
Section: B Systems Of Non-identical Generatorsmentioning
confidence: 79%
“…Therefore, while the "per-link" resistive losses are smaller in the former, it has many more links than the latter, and thus the total losses summed over all links are the same for both networks. While ongoing work [36] shows that the scaling relationships are retained in network-preserving model with load and asynchronous generator dynamics, an important future research question is to determine the extent to which these results can be extended to general power networks.…”
Section: Discussionmentioning
confidence: 93%
“…VI]. A special case of this result has been proven by Sjödin and Gayme [13] and our proof is inspired by their method.…”
Section: A Gramian Computation For Non-minimal Realizationsmentioning
confidence: 79%
“…The performance these networks can be quantified in terms of the robustness of the network to disturbances [10], the number of network interactions (e.g., communication costs) [11], the real power losses incurred in maintaining synchrony [12], [13], or the network coherence [14]- [16]. Many of these performance measures can be computed as an H 2 -norm of a linear system with an appropriately defined input/output pair.…”
Section: Introductionmentioning
confidence: 99%
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