Abstract
Recently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Therefore, this paper proposes a framework for MG planning, which focuses on resilience estimation. To consider the uncertainties of future failure events, the proposed method for estimating the resilience utilized the Monte Carlo simulation. In addition, an optimal scenario was estimated using a cost–benefit analysis and constraints on the expected value of resilience enhancement. In the case study, an actual MG installation at D-university was evaluated to obtain the optimal MG planning scenario. The results show that the capacity and installation locations of the distributed generators (DGs) impact the resilience enhancement. The proposed method can effectively derive the optimal MG planning scenario by evaluating the possibility of future operations based on the segmentation of both the system configuration and type of DG to improve the resilience of distribution systems.
Highlights
Academic Editor: VaidyanathanPower system resiliency is defined as the ability to prepare for, adapt to, and recover rapidly from disruptive events [1]; it considers high-impact low-frequency events such as natural disasters and deliberate attacks [2]
As this study considers the resilience of the distribution system during the MG planning process, the costs and benefits in the cost–benefit analysis (CBA) are applied from the perspectives of the utility and MG operators
This means that when a
Summary
Academic Editor: VaidyanathanPower system resiliency is defined as the ability to prepare for, adapt to, and recover rapidly from disruptive events [1]; it considers high-impact low-frequency events such as natural disasters and deliberate attacks [2]. It is impossible to reduce the intensity of a natural disaster [3]. For this reason, the resilience enhancement of power systems is being increasingly researched. In previous studies on resilience assessment, frameworks for resilience assessment with various goals were proposed to respond to natural disasters [4], including a specific disaster (typhoon) [5]. The importance of a resilience metric for power systems has been highlighted [6]. Rapid recovery is considered the most important feature of a resilience metric [7]. In this regard, microgrids (MGs), which operate the distributed generators (DGs), have been projected as a potential solution for supporting the rapid recovery of the resilience of a distribution system [8]
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