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Power grids based on traditional N-1 design criteria are no longer adequate because these designs do not withstand extreme weather events or cascading failures. Microgrid system has the capability of enhancing grid resilience through defensive or islanded operations in contingency. This paper presents a probabilistic framework for planning resilient distribution system via distributed wind and solar integration. We first define three aspects of resilient distribution system, namely prevention, survivability and recovery. Then we review the distributed generation planning models that comprehend moment estimation, chance constraints and bi-directional power flow. We strive to achieve two objectives: 1) enhancing the grid survivability when distribution lines are damaged or disconnected in the aftermath of disaster attack; and 2) accelerating the recovery of damaged assets through pro-active maintenance and repair services. A simple 9-node network is provided to demonstrate the application of the proposed resilience planning framework
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This content will become publicly available on January 1, 2027
Resilience‐Driven Planning of Electric Power Systems Against Extreme Weather Events
ABSTRACT With the increasing frequency of natural disasters, operators must prioritize improvements in the existing electric power grid infrastructure to enhance its resilience. Resilience against extreme weather events requires the grid planners to account for high‐impact, low‐probability (HILP) events during the planning stage. This paper proposes a resilience‐driven two‐stage stochastic planning model that jointly optimizes proactive generation dispatch, line hardening, line capacity upgrade and distributed generation sizing and siting decisions to minimize both load sheding and its risk for extreme weather scenarios. The risk is modelled using conditional value‐at‐risk (CVaR), and a representative scenario sampling method is used to alleviate computational complexity without sacrificing solution quality over a wide range of scenarios. The overall framework is tested on a standard IEEE reliability test system to evaluate the effectiveness of the proposed approach and also validated using out‐of‐sample scenarios. Several planning portfolios are presented that can help system planners identify trade‐offs between system resilience, planning budget, and risk aversion and prioritize the investments. The results suggest that line hardening is the most effective resilience‐enhancing investment under limited budgets, while the combination of line hardening and backup DGs minimizes the risk further as the planning budget increases.
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- Award ID(s):
- 1944142
- PAR ID:
- 10688546
- Publisher / Repository:
- IET Generation, Transmission and Distribution
- Date Published:
- Journal Name:
- IET Generation, Transmission & Distribution
- Volume:
- 20
- Issue:
- 1
- ISSN:
- 1751-8687
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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