Go top
Paper information

Enabling resiliency using microgrids with dynamic boundaries

I. Diahovchenko, G. Kandaperumal, A.K. Srivastava

Electric Power Systems Research Vol. 221, pp. 109460-1 - 109460-12

Summary:

With the increased frequency of adverse weather and manmade events in recent years, the issue of the power distribution system (PDS) resiliency has become drastically important. Microgrids with various types of distributed energy resources (DERs) have capabilities to enhance the PDS’s resiliency against high impact low probability (HILP) events. Resiliency is defined as the ability of the system to keep supplying critical loads even during and after extreme contingencies. This paper presents a systematic method to segmentize parts of a PDS into microgrids with flexible boundaries to enhance resiliency and mitigate negative impacts from anticipated threats. The method is aimed at anticipation and preparation to HILP events in advance: alternative flexible boundaries of the microgrids must be preplanned during normal operation and dynamically changed prior to or during disturbances. The Mixed-Integer Linear Programming (MILP) is formulated and applied to select switching actions to adjust microgrids’ boundaries as well as to supply critical loads, while meeting system constraints. Networked microgrids are merged and reconfigured as necessary to maximize supply to critical loads, driven by a factor-based resiliency metric, which is obtained using the Analytical Hierarchy Process (AHP). The modified IEEE 123 bus system was utilized for validation of the proposed method. Compared with the traditional fixed-boundary microgrids, this approach determines the most resilient network configuration to supply high-priority critical loads. The developed method can be employed in power system planning, operation, and in decision-making to enhance operational resiliency and invest in system upgrades appropriately.


Spanish layman's summary:

Este artículo propone microrredes con límites flexibles para mayor resiliencia en sistemas eléctricos. El algoritmo planifica y ajusta microrredes para suministrar cargas críticas. Mejora la resiliencia y guía decisiones para mejoras en el sistema eléctrico.


English layman's summary:

This paper suggests using microgrids with flexible boundaries to make power systems more resilient against extreme events. The proposed algorithm helps plan & adjust microgrids to supply critical loads efficiently. It can enhance the system’s resiliency and guide decision-making for system upgrades.


Keywords: Power system resiliency; Analytic hierarchy process; Automated switches; Distributed energy resources; Graph theory; Microgrid with dynamic boundaries


JCR Impact Factor and WoS quartile: 3,900 - Q2 (2022)

DOI reference: DOI icon https://doi.org/10.1016/j.epsr.2023.109460

Published on paper: August 2023.

Published on-line: May 2023.



Citation:
I. Diahovchenko, G. Kandaperumal, A.K. Srivastava, Enabling resiliency using microgrids with dynamic boundaries. Electric Power Systems Research. Vol. 221, pp. 109460-1 - 109460-12, August 2023. [Online: May 2023]


    Research topics:
  • Risk management models
  • Generation and transmission planning co-optimization
  • Smart grids
  • Planning and operation of DER
  • Stability: large disturbance stability, tuning of frequency loadshedding schemes, excitation control, small disturbance stability, tuning of power system stabilizers, identification of AVR and governor models
  • Isolated systems: islands, microgrids, off-grid