Resilient distribution system leveraging distributed generation and microgrids: a review

Liu, Guodong; Jiang, Tao; Ollis, Ben; Li, Xue; Li, Fangxing; Tomsovic, Kevin

doi:10.1049/iet-esi.2019.0134

Cited by 38 publications

(19 citation statements)

References 145 publications

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“…Since microgrids are usually connected at the distribution level, the resiliency benefits of networked microgrids are mostly demonstrated through facilitating the restoration and recovery of the distribution system [12,13]. Based on the roles that networked microgrids could play, networked microgrids assist in the restoration and recovery of distribution grids mainly from three aspects: networked-microgrid-assisted restoration [14,15], networkedmicrogrid-assisted network formation [16,17], and networked-microgrid-assisted blackstart [18,19].…”

Section: Literature Review and Gap Analysismentioning

confidence: 99%

Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

et al. 2022

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The benefits of networked microgrids in terms of economics and resilience are investigated and validated in this work. Considering the stochastic unintentional islanding conditions and conventional forecast errors of both renewable generation and loads, a two-stage adaptive robust optimization is proposed to minimize the total operating cost of networked microgrids in the worst scenario of the modeled uncertainties. By coordinating the dispatch of distributed energy resources (DERs) and responsive demand among networked microgrids, the total operating cost is minimized, which includes the start-up and shut-down cost of distributed generators (DGs), the operation and maintenance (O&M) cost of DGs, the cost of buying/selling power from/to the utility grid, the degradation cost of energy storage systems (ESSs), and the cost associated with load shedding. The proposed optimization is solved with the column and constraint generation (C&CG) algorithm. The results of case studies demonstrate the advantages of networked microgrids over independent microgrids in terms of reducing total operating cost and improving the resilience of power supply.

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Section: Literature Review and Gap Analysismentioning

confidence: 99%

Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

et al. 2022

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“…By using (10), the costs of LV feeders that are connecting DG to the cluster centre and cluster centre to the load point (including fixed and variable costs) are obtained. The first term of Cost f R (10) presents the cost of LV feeder from DG to related cluster centre including feeders fix and variable cost. The second term is used to calculate the cost of the LV feeder from cluster centre load points.…”

Section: Feeder Costmentioning

confidence: 99%

“…Some applied methods to the network planning and discussion of related research trends have been presented in [8][9]. In [10], the researchers reviewed current research on the role of MGs in the distribution system resilience improvement and discussed the limitations and gaps in this field.…”

Section: Introductionmentioning

confidence: 99%

Microgrid‐based resilient distribution network planning for a new town

Mojtahedzadeh

Ravadanegh

Haghifam

2021

IET Renewable Power Gen

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Nowadays, the deployment of micro-grids (MGs) is one of the important trends in modern distribution network planning. Implementing this strategy aims to improve the ability of the distribution network to withstand extreme weather conditions and supplying critical loads. While the literature has focused chiefly on operating distribution systems and partitioning them into MGs, in this work, the idea of planning a new low voltage (LV) radial distribution system based on multi MGs for a greenfield is proposed. The main contribution is providing a framework to plan a resilient LV distribution system step by step for a new town without any operating grid. In the planning process, some MGs are formed and their service area and technical specifications like the number of MGs and their sizes are determined by a multi-objective optimization algorithm considering hardening and resiliency issues. The planning is done in a way that all predefined critical loads will be supplied. To consider the effects of extreme weather conditions, failure rates of poles and conductors due to thunderstorms are considered as a function of wind speed, and their appropriate models are used. The provided method is implemented in a test case with three major scenarios. Accordingly, planning in normal conditions considering hardening options and resilient network planning cases are evaluated. Simulation results and resiliency metrics are compared in detail.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…There are various advantages and disadvantages to adding new connections via overhead versus underground distribution lines. For example, compared to overhead distribu-tion lines, underground lines provide reduced likelihood of damage during natural disasters and improved aesthetics [16]. However, undergrounding all of the distribution lines can be prohibitively expensive and also has drawbacks such as utility employee work hazards during faults and manhole inspections as well as potential susceptibility to flooding and storm surges.…”

Section: Introductionmentioning

confidence: 99%

Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

Taheri¹,

Molzahn²,

Grijalva³

2022

Preprint

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To improve the resilience of electric distribution systems, this paper proposes a stochastic multi-period mixed-integer linear programming model that determines where to underground distribution lines and how to coordinate mobile generators in order to serve critical loads during extreme events. The proposed model represents the service restoration process using the linearized DistFlow approximation of the AC power flow equations as well as binary variables for the undergrounding statuses of the lines, the configurations of switches, and the locations of mobile generators during each time period. The model also enforces a radial configuration of the distribution network and considers the transportation times needed to reposition the mobile generators. Using an extended version of the IEEE 123-bus test system, numerical simulations show that combining the ability to underground distribution lines with the deployment of mobile generators can significantly improve the resilience of the power supply to critical loads.

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Resilient distribution system leveraging distributed generation and microgrids: a review

Cited by 38 publications

References 145 publications

Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

Microgrid‐based resilient distribution network planning for a new town

Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators

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