Feeder Microgrid Management on an Active Distribution System during a Severe Outage
Forming a microgrid on a distribution system with large scale outage after a severe weather event is emerging as a viable solution to improve resiliency at the distribution level. This option becomes more attractive when the distribution system has high levels of distributed PV. The management of su...
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Zusammenfassung: | Forming a microgrid on a distribution system with large scale outage after a
severe weather event is emerging as a viable solution to improve resiliency at
the distribution level. This option becomes more attractive when the
distribution system has high levels of distributed PV. The management of such
feeder-level microgrid has however many challenges, such as limited resources
that can be deployed on the feeder quickly, and the limited real-time
monitoring and control on the distribution system. Effective use of the
distributed PV is also challenging as they are not monitored and controlled. To
handle these challenges, the paper proposes a 2-stage hierarchical energy
management scheme to securely operate these feeder level micorgrids. The first
stage of the scheme solves a sequential rolling optimization problem to
optimally schedule the main resources (such as a mobile diesel generator and
battery storage unit). The second stage adopts a dispatching scheme for the
main resources to adjust the stage-1 set-points closer to real- time. The
proposed scheme has unique features to assure that the scheme is robust under
highly varying operating conditions with limited system observability: (i) an
innovative PV forecast error adjustment and a dynamic reserve adjustment scheme
to handle the extreme uncertainty on PV power output, and (ii) an intelligent
fuel management scheme to assure that the resources are utilized optimally over
the multiple days of the restoration period. The proposed algorithm is tested
on sample system with real-time data. The results show that the proposed scheme
performs well in maximizing service to loads by effective use of all the
resources and by properly taking into account the challenging operating
conditions. |
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DOI: | 10.48550/arxiv.2208.10712 |