A Security Level Classification Method for Power Systems under N-1 Contingency

Lu, Zhengding; He, Li; Zhang, Dan; Zhao, Boxuan Simen; Zhang, Jiangfeng; Zhao, Hongying

doi:10.3390/en10122055

Cited by 10 publications

(6 citation statements)

References 32 publications

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“…A static security assessment evaluates the system voltage and the equipment's thermal limits violations after any contingency to ensure that they remain in acceptable intervals [32,41]. Otherwise, the protection system will separate the components, or it may isolate a part of the system [42][43][44]. However, before entering into the steady state region, the system stability should be assured after a contingency [45].…”

Section: Conventional Power System Security Assessmentmentioning

confidence: 99%

A New Guideline for Security Assessment of Power Systems with a High Penetration of Wind Turbines

et al. 2020

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By the increase of the penetration of power-electronic-based (PE-based) units, such as wind turbines and PV systems, many features of those power systems, such as stability, security, and protection, have been changed. In this paper, the security of electrical grids with high wind turbines penetration is discussed. To do so, first, an overview of the power systems’ security assessment is presented. Based on that, stability and security challenges introduced by increasing the penetration of wind turbines in power systems are studied, and a new guideline for the security assessment of the PE-based power systems is proposed. Simulation results for the IEEE 39-bus test system show that the proposed security guideline is necessary for PE-based power systems, as the conventional security assessments may not be able to indicate its security status properly.

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Section: Conventional Power System Security Assessmentmentioning

confidence: 99%

A New Guideline for Security Assessment of Power Systems with a High Penetration of Wind Turbines

et al. 2020

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“…This method can solve the optimization problem quickly and accurately, but this method has strict requirements for the mathematical model of optimization problem. Therefore, the above TSC model is converted into cone model according to the standard form of cone programming method [26]. The specific conversion processes are as follows.…”

Section: Model Of Total Supply Capacitymentioning

confidence: 99%

Security‐level classification based on power system partitioning

Zhao

et al. 2019

IET Generation, Transmission & Distribution

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Secure and reliable operation of power systems is a crucial factor to the security of power supply, and security assessment is an effective way to evaluate the quality of security. In order to evaluate the specific security status of a power system, a novel method for security level classification (SLC) based on power system partitioning is proposed in this paper. In this method, power system is partitioned into different subareas satisfying different N-k contingencies. Then the mutual power supply between each subarea is coordinated to obtain the total supply capacity (TSC) under N-k contingencies.The security margin index (SM), average system disequilibrium index (ASD) and comprehensive safety index (CSI) are applied to assess the security of power system. Besides this, the threshold crossing index (TC) and the loss rate of load index (LRL) are applied to assess the unsafe conditions of power systems. According to the above procedures, the power system security states are classified into 5 levels, and a quantitative criterion to determine the exact security level is also given. Finally, a practical power system and the IEEE 118-bus test system are adopted to validate the feasibility of security classification based on N-k contingencies partition.

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“…Security assessment is crucial for the reliable and secure operation of technical systems [10]. A security level classification method to analyse the security level of various technical systems both qualitatively and quantitatively is presented in many works [36][37][38][39][40][41][42][43][44][45][46][47][48][49].…”

Section: Review Of the Literaturementioning

confidence: 99%

Aspects of Heat Supply Security Management Using Elements of Decision Theory

Babiarz

2018

Energies

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Security in heat supply systems plays an important role in social, technical and political terms. It includes three main components: energy security, security of heat supply, security of people. The differences concern the subject, area, scope, as well as the degree and purpose of the analyses. The article is a continuation of research conducted by the author, presenting the concept of security of heat supply as a necessary “umbrella” supported by reliability and system resilience to threats, constituting a set of actions aimed at minimizing the risk. The subject of the analysis of this article is the security of heat supply, analysed in the context of heat supply management to recipients and risk analysis related to the lack of heat supply. The elements of decision theory were used as adequate for this purpose. Different configurations of heat distribution in the system have been taken into account when determining the expected values of risk related to the occurrence of power limitation for various degrees of restrictions and various network configurations. The author’s use of elements of decision theory in heat supply systems illustrated at the work gives the opportunity to assess and manage the security of heat supply to the recipient. It takes into account the possibility of different heat distribution configurations in the system at the operational stage, as well as may be the basis for optimizing changes in the distribution of power supply areas and selecting the most advantageous network configuration at the design stage.

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A Security Level Classification Method for Power Systems under N-1 Contingency

Cited by 10 publications

References 32 publications

A New Guideline for Security Assessment of Power Systems with a High Penetration of Wind Turbines

A New Guideline for Security Assessment of Power Systems with a High Penetration of Wind Turbines

Security‐level classification based on power system partitioning

Aspects of Heat Supply Security Management Using Elements of Decision Theory

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