Distributionally Robust Microgrid Formation Approach for Service Restoration Under Random Contingency

Cai, Shaobin; Xie, Yunxiang; Wu, Qiuwei; Zhang, Menglin; Jin, Xiaolong; Xiang, Zhengrong

doi:10.1109/tsg.2021.3095485

Cited by 45 publications

(19 citation statements)

References 30 publications

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“…The most challenging aspect of the distribution network's partitioning is to form an optimal microgrid while maintain operational constraints, such as power balance and voltage limits at each node [44], [45]. Existing microgrid formation strategies can be broadly categorized into four techniques as shown in Fig.…”

Section: Microgrid Construction Modelsmentioning

confidence: 99%

Service Restoration Through Microgrid Formation in Distribution Networks: A Review

Igder

Mitolo

2022

IEEE Access

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Microgrid formation is a promising solution to enhance resiliency of distribution networks. The self-adequacy feature of a microgrid enables continuity of power supply through distributed generation (DG) units during severe faults and natural disasters. In this paper, different methods commonly used to partition a distribution network into multiple microgrids are presented, including the graph theory, heuristic rulebased algorithm, cluster-based technique, and mixed integer programming. Advantages and disadvantages of these techniques and future research directions are presented. This review provides an excellent summary on service restoration through micrgrid formation, and offers a valuable reference for researchers working on grid modernization of distribution networks.

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Section: Microgrid Construction Modelsmentioning

confidence: 99%

Service Restoration Through Microgrid Formation in Distribution Networks: A Review

Igder

Mitolo

2022

IEEE Access

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“…In Ref. [27], it has been shown that the system resilience by the proactive MG formation is enhanced. Paper [28,29] formulates a mixedinteger linear program for the transformation of a radial distribution network to multiple MGs, each energized by a DER.…”

Section: Introductionmentioning

confidence: 99%

A Resilience-Oriented Methodology for Transformation of the Distribution Networks into MicroGrid

Kia

Farzinfar

Amirahmadi

et al. 2022

International Transactions on Electrical Energy Systems

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Transformation of the distribution network, integrated with Distributed Energy Resources (DER), into a MicroGrid (MG) is an attractive approach in improving the reliability and resilience of the network. In this paper, by introducing the important and necessary aspects of the MG formation problem, an effective methodology for transformation of a distribution network into the MG is proposed. In the presented methodology, optimal allocation of DERs within MG is obtained by optimization of power losses and voltage stabilization along feeders. Moreover, the short-circuit constraints are also taken into account simultaneously while allocating DERs. The reason for the latter is that the integration of DERs alters the amplitude and direction of the short circuit current, which can cause the overall fault current to exceed the designed fault-level capability of the circuit breakers. This issue may put CBs at risk of failure and degrading MG resilience. In this regard, resilience-oriented evaluation of the MG formation, from the perspective of considering short circuit level and coordination of OCRs, is also performed. Another advantage of short circuit studies is devising complete and economic overcurrent-based protection plan for MG in both operating modes (grid-connected and islanded). It should be pointed out that adopting an appropriate control routine is a key element in the MG formation. Hence, a control strategy, based on Energy Storage System (ESS) utilization, is suggested in this paper. This feature, which is another contribution of the paper, will guarantee seamless transition to island mode and stable operation of the MG. The proposed formulation of the MG formation is solved using a modified multi-objective PSO and the Pareto-optimal set is obtained. However, since the optimal solutions are nondominated to each other, a Fuzzy Satisfaction Method (FSM) is utilized to find the optimal solution among the Pareto-set. Utilization of the proposed methodology leads to the successful transformation of the distribution network into a MG, which not only considers the load flow constraints but also preserves the optimal coordination of the protective relays and resilience of the MG. In addition, seamless transition and stable operation of the MG in island mode is achieved.

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“…Advancements in distributionally robust optimization (DRO) offer an alternative for solving problems with ambiguous probabilistic models. It has already been applied in several resiliencerelated problems, including microgrid formation [16], network configuration [17], and resilient operation [18]. DRO-based models generate decisions based on worst probability distribution in an ambiguity set, yielding more robust and realistic results (compared to SP and RO, respectively).…”

Section: Introductionmentioning

confidence: 99%

A Distributionally Robust Resilience Enhancement Strategy for Distribution Grids Considering Decision-Dependent Contingencies

Li¹,

Lei²,

Sun³

et al. 2022

Preprint

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When performing resilience enhancement for distribution grids, suboptimal strategies induced by misspecified contingency models may lead to unanticipated regrets in retrospective analyses.However, there are two obstacles for reliably modeling uncertain contingencies: 1) decision-dependent uncertainty (DDU) resulting from different line hardening decisions, and 2) distributional ambiguity due to limited outage information under extreme weather events (EWEs). To address these two challenges, this paper constructs scenario-wise decision-dependent ambiguity sets (SWDD-ASs), where the DDU and distributional ambiguity inherent in EWE-induced contingencies are simultaneously captured under each possible EWE scenario. Then, a two-stage trilevel decisiondependent distributionally robust resilient enhancement (DD-DRRE) model is formulated, whose outputs include the optimal line hardening, distributed generation (DG) allocation, and proactive network reconfiguration strategy under the worst-case distributions in SWDD-ASs. Then, the DD-DRRE model are equivalently recast to a MILP-based master problem and multiple scenario-wise subproblems, facilitating the utilization of a customized column-and-constraint generation (C&CG) algorithm. Finally, numerical tests demonstrate a remarkable improvement in the out-of-sample performance of our model, compared to its prevailing stochastic and robust counterparts. Moreover, the potential values of incorporating the ambiguity and distributional information are quantitatively estimated, which can serve as a useful reference for planners with different budgets and risk-aversion levels.

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Distributionally Robust Microgrid Formation Approach for Service Restoration Under Random Contingency

Cited by 45 publications

References 30 publications

Service Restoration Through Microgrid Formation in Distribution Networks: A Review

Service Restoration Through Microgrid Formation in Distribution Networks: A Review

A Resilience-Oriented Methodology for Transformation of the Distribution Networks into MicroGrid

A Distributionally Robust Resilience Enhancement Strategy for Distribution Grids Considering Decision-Dependent Contingencies

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