2021 International Conference on Smart Energy Systems and Technologies (SEST) 2021
DOI: 10.1109/sest50973.2021.9543408
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Fair Congestion Management in Distribution Systems using Virtual Power Lines

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Cited by 9 publications
(2 citation statements)
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“…While [6], [28] leveraged additional information exchange to incorporate fairness considerations into local droop-style controllers, fairness can also be imposed in centralized and distributed optimization or analytical models using equality constraints [4], [7], [29], [30] (so the same value is enforced for all end-users) or through min-max [5], [31], logarithmic [32], and quadratic [9], [33] objective function designs. On the one side, the equality constraints and the min-max objective function are hard to implement in gradient-type algorithms.…”
Section: Fairness Considerationsmentioning
confidence: 99%
“…While [6], [28] leveraged additional information exchange to incorporate fairness considerations into local droop-style controllers, fairness can also be imposed in centralized and distributed optimization or analytical models using equality constraints [4], [7], [29], [30] (so the same value is enforced for all end-users) or through min-max [5], [31], logarithmic [32], and quadratic [9], [33] objective function designs. On the one side, the equality constraints and the min-max objective function are hard to implement in gradient-type algorithms.…”
Section: Fairness Considerationsmentioning
confidence: 99%
“…enforcing the same proportion of curtailment under the proportional fairness formulations [27]. Alternatively, quadratic [31], [32], min-max [33], [34], and logarithmic [35] objective function are designed to mitigate unfairness while avoiding unnecessary curtailment. Using these objective functions, fairness is slightly compromised for energy harvest.…”
Section: B Fairnessmentioning
confidence: 99%