Bulk Electric System Well-Being Analysis Using Sequential Monte Carlo Simulation

Wangdee, Wijarn; Billinton, R.

doi:10.1109/tpwrs.2005.862000

Cited by 65 publications

(31 citation statements)

References 17 publications

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“…System well-being analysis applications using analytical techniques are presented in [13,14]. The system wellbeing analysis concept has been extended using non-sequential [15] and sequential [16] Monte Carlo simulation techniques. System well-being can be categorized into the three states of healthy, marginal, and at-risk, as shown in Fig.…”

Section: Marginalmentioning

confidence: 99%

“…Well-being analysis, therefore, attempts to bridge the gap between the deterministic and probabilistic approaches by addressing the need to determine the likelihood of encountering marginal system states as well as that of encountering system at-risk states. A detailed procedure for system well-being analysis can be found in [16]. The degree of system well-being can be quantified in terms of the probabilities, frequencies and durations of the healthy, marginal and at-risk states.…”

Section: Marginalmentioning

confidence: 99%

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Locational transmission capacity reserve determination using system well-being analysis

Wangdee

Billinton

2015

Electric Power Systems Research

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Section: Marginalmentioning

confidence: 99%

Section: Marginalmentioning

confidence: 99%

Locational transmission capacity reserve determination using system well-being analysis

Wangdee

Billinton

2015

Electric Power Systems Research

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“…The pursued objectives are, for example, the computation of reliability indices, the search for profitable investments scenarios, and so on [4,6]. Theoretically, there are two basic techniques used when Monte Carlo methods are considered for power system applications, these methods being known as the sequential and nonsequential techniques [6,8]. In that way, in the present study, a non sequential Monte Carlo algorithm ( Figure 1) has been developed under Matlab to evaluate reliability indices of interest, gaseous pollutants mean emissions, adequate dispatch of classical units, and so forth.…”

Section: General Algorithm Of the Developed Monte Carlo Simulation Toolmentioning

confidence: 99%

Impact of Wind Power on the Gaseous Pollutants Emissions in Electrical Systems Operating under Constraints

Vallée

Versele

Moiny

et al. 2012

ISRN Renewable Energy

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“…Multiple methods were introduced in [4][5][6][7][8][9][10][11] to assess the vulnerability of conventional power systems. These studies ignore the cyber layer and focus on physical layer vulnerability assessment.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties

et al. 2017

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Conventional power systems are developing into cyber-physical power systems (CPPS) with wide applications of communication, computer and control technologies. However, multiple practical cases show that the failure of cyber layers is a major factor leading to blackouts. Therefore, it is necessary to discuss the cascading failure process considering cyber layer failures and analyze the vulnerability of CPPS. In this paper, a CPPS model, which consists of cyber layer, physical layer and cyber-physical interface, is presented using complex network theory. Considering power flow properties, the impacts of cyber node failures on the cascading failure propagation process are studied. Moreover, two vulnerability indices are established from the perspective of both network structure and power flow properties. A vulnerability analysis method is proposed, and the CPPS performance before and after cascading failures is analyzed by the proposed method to calculate vulnerability indices. In the case study, three typical scenarios are analyzed to illustrate the method, and vulnerabilities under different interface strategies and attack strategies are compared. Two thresholds are proposed to value the CPPS vulnerability roughly. The results show that CPPS is more vulnerable under malicious attacks and cyber nodes with high indices are vulnerable points which should be reinforced.

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Bulk Electric System Well-Being Analysis Using Sequential Monte Carlo Simulation

Cited by 65 publications

References 17 publications

Locational transmission capacity reserve determination using system well-being analysis

Locational transmission capacity reserve determination using system well-being analysis

Impact of Wind Power on the Gaseous Pollutants Emissions in Electrical Systems Operating under Constraints

Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties

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