Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau

Xu, Jing; Ye, Meng; Peng, Xianyi; Li, Zhi

doi:10.1016/j.enpol.2019.03.011

Cited by 10 publications

(3 citation statements)

References 24 publications

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“…for consumers when the government cannot cover the deficit caused by subsidizing. Xu et al (2019) reveals that natural disasters, weak grid power exchange capacity, weak grid support, weak emergency power support, and protection mistakenly moved are the main threats for unsustainable electric power system using Chengdu Electric Bureau as a case. Xie et al (2021) indicate that the unbundling reform implemented in China has not improved the service quality of the power grid firms.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Effects of Market Power on Electricity Reliability in China: Toward a Green and Reliable Market

Ming-hui

Huang

2022

Front. Energy Res.

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The transition to a low-carbon power system is among the measures to forge green energy transition and carbon neutrality, where grid firms have a crucial role. In this context, this paper uses the provincial data from 2004 to 2017 to evaluate the impact of market power of grid companies on service quality in China. Panel dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) models are employed. The findings indicate that higher market power has indeed reduced reliability measured by average outage duration. Renewable energy integration also has negative effects and reduces electricity reliability. Finally, the effects are also heterogeneous across the different regions. The results may also provide useful lessons for other developing countries aiming to improve the electricity supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing the Effects of Market Power on Electricity Reliability in China: Toward a Green and Reliable Market

Ming-hui

Huang

2022

Front. Energy Res.

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“…With this regard, by applying HoQ method, they found that increasing communication with capacity facilities is the best strategy to overcome this problem. Also, Xu et al [43] established an Entropy-House of Quality method to define the main factors that are common in unsustainable electric power system in China. According to results, it is identified that verifying policy-makers' effectiveness is a valuable strategy for blackout prevention.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

Zhong

Yüksel

et al. 2020

IEEE Access

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The purpose of this study is to determine appropriate innovative strategies for the renewable energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model is proposed based on interval type-2 (IT2) fuzzy sets and alpha cut levels. Within this context, hesitant IT2 fuzzy DEMATEL-Based Analytic Network Process (DANP) with alpha cut levels is applied for weighting the customer requirements. Moreover, hesitant IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) with alpha cut levels is used for ranking the TRIZ-based strategies priorities of renewable energy investments based on house of quality technique. These strategies are also ranked with hesitant IT2 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach to make a comparative evaluation. The results illustrate that ease of access and security are among the most prominent factors of customer requirements for renewable energy investments. It is also identified that innovative technical requirement entitled cushion in advance has the best choice for the sustainable renewable energy projects. Furthermore, the results of proposed model using hesitant IT2 fuzzy DANP and hesitant IT2 fuzzy TOPSIS are identical for the different levels of alpha cut. In addition, it is also defined that the results of hesitant IT2 fuzzy TOPSIS and hesitant IT2 fuzzy VIKOR are quite coherent. This is a clear evidence that the proposed model is coherent and could provide comprehensive results for the future studies. It is strongly recommended that a detailed analysis is required to identify the risks in renewable energy investment projects. Hence, necessary actions can be taken appropriately so that it can be possible to prevent problems before they grow.

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“…After converting the ADTree into an A2DTree, we can use the success tree method [34] to determine the path set of the A2DTree. We can first identify the dual tree [35] of an A2DTree by replacing all the AND logic gates in the original A2DTree with OR logic gates and replacing all the OR logic gates with AND logic gates. On this basis, the cut set of this dual tree is the path set of the original A2DTree.…”

Section: Minimum Defense Cost Calculationmentioning

confidence: 99%

A Minimum Defense Cost Calculation Method for Attack Defense Trees

Zhong

2020

Security and Communication Networks

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The cyberphysical system (CPS) is becoming the infrastructure of society. Unfortunately, the CPS is vulnerable to cyberattacks, which may cause environmental pollution, property losses, and even casualties. Furthermore, in contrast to the conventional Internet, the devices in CPSs are more specific, and the device systems may not be upgraded or installed with new programs during their life spans. The selection of the best defense nodes for defeating cyberattacks is quite challenging in CPSs. To overcome this issue, several attack-defense modeled methods have been proposed. However, few existing studies have considered the defense cost, which is usually a determinant in practice. In this paper, we propose a method for choosing optimal defense nodes that (1) can defeat specific attacks and (2) are inexpensive. First, the atom attack defense tree (A2DTree) is proposed by adding constraints to the conventional attack defense tree (ADTree). Second, the algebraic method is used to efficiently calculate the minimum defense cost. On this basis, a minimum defense cost calculation tool is designed and implemented. Finally, the effectiveness of the proposed method is verified with two typical case studies, and a comparative experiment of related work is carried out. The results show that the method can correctly and efficiently identify the optimal defense nodes and calculate the minimum defense cost of a CPS.

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Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau

Cited by 10 publications

References 24 publications

Assessing the Effects of Market Power on Electricity Reliability in China: Toward a Green and Reliable Market

Assessing the Effects of Market Power on Electricity Reliability in China: Toward a Green and Reliable Market

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

A Minimum Defense Cost Calculation Method for Attack Defense Trees

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