Identification of critical components in power systems: A game theory application

Pourahmadi, Farzaneh; Fotuhi‐Firuzabad, Mahmud; Dehghanian, Payman

doi:10.1109/ias.2016.7731953

Cited by 12 publications

(9 citation statements)

References 24 publications

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“…The average budget allocated to the maintenance management of the studied microgrid is assumed to be $12 500, and the additional budget considered for components upgrades and condition amendment is $6250. To solve the nonlinear equations of the optimization problem, mainly driven from the partial derivatives of the Lagrange function with respect to each of the independent variables (see 21), an iterative method, ie, the Newton's method, is implemented in MATLAB environment. The optimal allocation of the available budget for any components (independent variables), the optimal failure rates of system components, and finally, the desired and optimal values of reliability indices are calculated, as shown in Table 8.…”

Section: Main Analysismentioning

confidence: 99%

“…The first and most important step to implement an RCM procedure is to identify system critical components through a decision‐making process. Decision‐making techniques ranging from game theory, fuzzy analytical hierarchical process, reliability‐oriented criticality factors (CFs), Markov models, and minimal cut sets have been introduced so far to distinguish the critical components in power generation, transmission, and distribution systems. In this paper, a multiattribute decision‐making (MADM) approach in conjunction with a reliability‐driven CF is used to determine the weights of important RCM attributes and to identify the critical components, respectively.…”

Section: Introductionmentioning

confidence: 99%

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A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, the central principles of reliability‐centered maintenance (RCM) and corresponding mathematical concepts for its implementation in microgrids are discussed. A systematic framework is suggested that exploits the fundamentals of multiattribute decision making to (i) evaluate the important features and failure attributes and (ii) effectively identify the microgrid critical components with their failure rates dynamically assessed at various time intervals. Lagrange multipliers of a budget‐constrained optimization formulation are suggested to be used to determine the desired values of system reliability indicators. The failure rates of critical components are efficiently determined over time through an exponential model that is empirically obtained via extracted condition scores of critical failure causes at multiple inspection times. A time‐varying benefit‐to‐cost ratio mechanism is designed via which the useful lifetime of critical components and the system economic benefits increase through timely maintenance in microgrids where an improved reliability performance can be realized. Finally, the proposed model is implemented in a real‐world scenario on a microgrid that is a part of the Tehran power distribution network. Extensive numerical results demonstrate the applicability and effectiveness of the suggested RCM model in microgrids.

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Section: Main Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

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“…The multiplication of fuzzy value of these indices determines the priority of each component for maintenance activities. In [29], using game theory, a factor measures the impact (on system reliability) of each component in partnership with other components by calculating the Shabbly value for each component. In the deregulated power systems that developed throughout the world today, interactions between market components and practitioners cannot be ignored, which is why one of the most recent studies [30] using the AHP method; in the first step, the importance weight of the market components (generation companies, distribution companies, regulators, independent system operators) is determined.…”

Section: Methodology In Studiesmentioning

confidence: 99%

Asset management and maintenance programming for power distribution systems: A review

Mirhosseini

Keynia

2021

IET Generation Trans & Dist

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Security and continuous proper functioning of the power system is a vital issue for supplying demands. Providing an acceptable level of reliability and necessity of that in all parts of the power system, from generation to distribution, has always been, and remains a major concern for network managers. Asset management and performing regular and routine maintenance activities has a considerable impact on ensuring system reliability, reducing expensive crashes, and preventing shutdowns. Up to now, much research has been done on the proper planning of maintenance in different parts of the network with a focus on cost savings, improved system performance and reliability, and reduced shutdowns. The purpose of this article is to review the findings of the study and to provide a more comprehensive view of the maintenance planning issue.

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“…To understand these criteria and their weights, we employed a combination of Delphi and the Analytic Hierarchy Process (AHP) methods that are very common in these types of research (i.e. Pourahmadi et al , 2016). We leveraged the Delphi to identify and gain consensus on important factors or criteria from selected experts.…”

Section: Methodsmentioning

confidence: 99%

Developing disaster mutual assistance decision criteria for electricity industry

Asgary

Pantin

Saiiar

et al. 2017

DPM

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Purpose Disaster mutual assistance (DMA) or mutual aid is a reciprocal arrangement between organizations that permits and prearranges one company to access resources from another company to recover from disaster impacts faster. As a practical tool to access response resources quickly, DMA can be an important element of an effective emergency management process, but the decision to provide (or not to provide) DMA is challenging and involves a number of factors. The purpose of this paper is to present the results of a study conducted to identify DMA decision criteria and their weights based on electricity companies operating in North America. Design/methodology/approach The authors employed a combination of Delphi and analytical hierarchy process (AHP) methods. Delphi method identified the decision criteria that should be considered before electricity utilities enact their DMA agreements. A standard AHP calculated the weights of identified DMA criteria. Findings In total, 11 criteria were identified and classified into three main groups: responding criteria, requesting criteria and disaster criteria. Of the 11, “Emergency Conditions” within the responding criteria group, “Extent of Damage” of the requesting criteria group, and “Size of Disaster”, associated with the disaster criteria group, had the highest weight. Three other factors (“Work Safety Practice”, “Natural Hazards” and “Availability of Resources”) carried a noticeable weight difference, while the remaining factors were weighted relatively lower. Practical implications At present, a decision to provide mutual assistance is highly subjective, based on “gut feel”, and dependent on interpersonal relationships between the requestor and the provider. However, mobilizing and dispatching electricity industry crews is a risky and costly operation for both requesting and responding companies and requires careful assessment for which a cost-benefit threshold has not been developed. This cost-benefit perspective is often frowned upon owing to the intended altruistic nature of DMA agreements and its influence on decision makers. The developed criteria in this study are intended to assist electricity companies in making a more informed and quantifiable decision when deliberating a request for mutual assistance. These criteria may also be used by assistance-requesting companies to better identify electricity companies that are more likely to provide assistance to them. Originality/value This study contributes to the literature by examining the current state of DMA in electricity utilities, identifying decision criteria and weighing such criteria to enable electricity companies in making more objective decisions, thereby, increasing the overall effectiveness of their disaster management process.

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Identification of critical components in power systems: A game theory application

Cited by 12 publications

References 24 publications

A mathematical framework for reliability-centered maintenance in microgrids

A mathematical framework for reliability-centered maintenance in microgrids

Asset management and maintenance programming for power distribution systems: A review

Developing disaster mutual assistance decision criteria for electricity industry

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