Abstract
Distributed generations (DGs) can act as emergency power sup-plies when distribution systems suffer from outages. However, the generation capabilities of DGs are generally limited by a number of factors including weather conditions, fuel limitations, etc. In this context, mobile resources that are able to reallocate resources to desired locations are regarded as important complements to conventional fixed DGs in assisting distribution system restoration. In this paper, a distribution system restoration model with DGs and mobile resources is proposed. Firstly, the dispatch and allocation of mobile resources are modeled with respect to the characteristics of the traffic network. Then the developed mobile resource models are integrated into the distribution system restoration model to co-optimize the scheduling of DGs and mobile resources. Uncertainty factors are managed by a model predictive control approach so that system operators can dynamically adjust the restoration strategy with the up-to-date information. The effectiveness of the proposed method is validated through an IEEE 13-bus test system.
| Original language | American English |
|---|---|
| Number of pages | 9 |
| State | Published - 2020 |
| Event | 2020 IEEE Power and Energy Society General Meeting (IEEE PES GM) - Duration: 3 Aug 2020 → 6 Aug 2020 |
Conference
| Conference | 2020 IEEE Power and Energy Society General Meeting (IEEE PES GM) |
|---|---|
| Period | 3/08/20 → 6/08/20 |
Bibliographical note
See NREL/CP-5D00-79031 for paper as published in proceedingsNREL Publication Number
- NREL/CP-5D00-75372
Keywords
- distributed generations (DGs)
- distribution system restoration
- mobile resources
- model predictive control (MPC)