Enhancing Distribution System Resilience With Mobile Energy Storage and Microgrids

By Jip Kim, Yury Dvorkin. IEEE Transactions on Smart Grid, 2019

329 citations recorded by the source corpus.

Electrochemical energy storage (ES) units (e.g., batteries) have been field-validated as an efficient back-up resource that enhances resilience of distribution systems. However, using these units for resilience is insufficient to justify their installation economically and, therefore, these units are often installed in locations where they yield the greatest economic value during normal operations. Motivated by the recent progress in mobile ES technologies, i.e., ES units can be moved using public transportation routes, this paper proposes using this spatial flexibility to bridge the gap between the economically optimal locations during normal operations and the locations where extra back-up capacity is necessary during disasters. We propose a two-stage optimization model that optimizes investments in mobile ES units in the first stage and can re-route the installed mobile ES units in the second stage to form dynamic microgrids (MGs) and to avoid the expected load shedding caused by disasters. Since the proposed model cannot be solved efficiently with off-the-shelf solvers, even for relatively small instances, we apply the progressive hedging algorithm. The proposed model and algorithm are tested on a 15-bus radial distribution test system.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/043ecc13824fd740e44831463f11ab7d222f16a5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Narayan Bhusal
2. Mohammed Benidris
3. M. Kamruzzaman
4. Michael Abdelmalak
5. Shunbo Lei
6. Yunhe Hou
7. Hui Zhou

In Electrical and Electronic Engineering

1. Narayan Bhusal
2. Mohammed Benidris
3. M. Kamruzzaman
4. Michael Abdelmalak
5. Shunbo Lei
6. Yunhe Hou
7. Hui Zhou

Citations in the corpus

• Power System Resilience: Current Practices, Challenges, and Future Directions (2020, background): “For resilience-based maintenance scheduling, constraints related to crew, vehicles, roads, and repair priorities have been also considered [56], [75], [76], [78].”
• Routing and Scheduling of Mobile Power Sources for Distribution System Resilience Enhancement (2019, methodology): “We follow [25], [29]–[33], [35], [36], etc.”