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Underfrequency Load Shedding for an Islanded Distribution System With Distributed Generators

Significant penetration of distributed generation in many distribution systems has opened an option of operating distribution systems in island mode for economical and technical reasons. However, balancing frequency of the islanded system is still an issue to be solved, especially when the demand exceeds the generation in the power island. This paper presents a strategy to shed an optimal number of loads in the island to stabilize the frequency. The load shedding strategy is based on frequency information, rate of change of frequency, customers' willingness to pay, and loads histories. Different scenarios have been simulated with results showing that the proposed method is effective in shedding the optimal number of loads while stabilizing frequency.
Udgivelsesdato: April
- Aalborg University Denmark
- Aalborg University Denmark
- Aalborg University Library (AUB) Aalborg Universitet Research Portal Denmark
- Aalborg University Library (AUB) Denmark
- Aalborg University Library (AUB) Denmark
Islanding, Underfrequency load shedding, Distributed generation (DG), Willingness to pay (WTP), Rate of change of frequency
Islanding, Underfrequency load shedding, Distributed generation (DG), Willingness to pay (WTP), Rate of change of frequency
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).103 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
