A Comprehensive Evaluation Model of Power Market Operation Efficiency Based on Extension Cloud Theory

Song, Dan; Yang, Meng; Bai, Huiyu; Li, Hujun; Wang, Jiangbo; Chen, Hanwen; Qin, Guangyu

doi:10.1016/j.egypro.2018.11.146

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…Cloud model 34,36 is a bidirectional cognitive model between a certain qualitative concept represented by linguistic value and its quantitative representation, which is used to reflect the uncertainty of concepts in natural language and constitute the mutual mapping between qualitative and quantitative. Compared with the membership function given by experts' prior knowledge or obtained by statistical methods in traditional fuzzy evaluation, the cloud model can reflect the fuzziness and randomness in the evaluation index data well, which makes the evaluation result more accurate and reasonable.…”

Section: Cloud Model Theorymentioning

confidence: 99%

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

Maihemuti

Wang

et al. 2023

Preprint

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With the rapid development of new energy in China, the large-scale grid connection of new energy continues to rise, and the operation safety of new energy power systems is facing a severe test. Therefore, correct identification and assessment of security risks become an important prerequisite to effectively improve the operation safety level of the new energy power systems. In order to accurately and effectively complete the security and stability assessment of the new energy power system operation, a new energy power system operation security assessment model based on the fuzzy DEMATEL-AEW cloud model was built. Firstly, the paper collects the index set that affects the safe and stable operation of the new energy power system, and selects 15 indexes that have a great impact on the safe and stable operation of the system through the association rules mining algorithm (Apriori), and establishes the evaluation index system for the safe and stable operation of the new energy power system. Then, the fuzzy decision-making laboratory analysis method (DEMATEL) is used to determine the interaction between the evaluation indicators, draw the network structure diagram between the evaluation indicators, and determine the subjective weight of each evaluation indicator. The objective weight of each evaluation index is determined by using the anti-entropy weight (AEW) method, and the comprehensive weight of the evaluation index is calculated by using the dynamic weighting of cooperative game theory; Finally, the weight results are combined with the evaluation layer of cloud model to evaluate the safety of all levels of safety assessment indicators, and the simulation analysis of the example is completed through MATLAB. The results show that the operation security status level of the power system is between average and good, not only taken some effective measures to control some risk factors, but also normal inspection and monitoring are arranged; At the same time, carried out the comparative analysis of the simulation results in the security assessment of power system operation to verify the feasibility and accuracy of evaluation methods, and has guiding significance for the security assessment of power system.

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Section: Cloud Model Theorymentioning

confidence: 99%

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

Maihemuti

Wang

et al. 2023

Preprint

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“…Referring to the relevant standards [62] and references [8,40,44], and considering existing research and expert opinions, we have sorted out the hierarchical boundaries of OHDPM impact indicators. Based on the experience of power market operation, we propose a hierarchical division method, that is, the hierarchical I-V corresponds to the lower, low, medium, higher, and high health levels.…”

Section: The Grade Limit Of Ohdpm Evaluation Indicatorsmentioning

confidence: 99%

“…The cloud model can transform the uncertainty between qualitative concepts and quantitative values, and has applicability to MCDM problems based on linguistic information [38,39]. Dawei established a comprehensive evaluation model of power market operation efficiency based on extension cloud theory, and introduced credible factors to verify the credibility of the evaluation results [40]. Based on variable weight theory and normal cloud model, Lv carried out fuzzy comprehensive evaluation of power quality, and verified the accuracy and validity of the proposed method through an example [41].…”

Section: Introductionmentioning

confidence: 99%

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Dong¹,

Wang²,

Liu³

et al. 2019

Sustainability

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The complex power system and trading environment in China has led to higher requirements for the efficient and stable operation of the electricity market. With the continuous advancement of power system reforms, regular evaluation of the operation of the market can help us grasp its status and trends, which is of great significance for ensuring its sustainable development. In order to effectively evaluate the current operational status of the electricity market, the concept of operation health degree of power market (OHDPM) is proposed to measure whether the operation is safe, efficient, and sustainable. This paper establishes an improved model framework based on the matter-element extension theory for evaluation. In order to effectively avoid information distortion and loss in the evaluation process, this paper combines the cloud model, matter element extension theory, ideal point method (IPM), and cloud entropy optimization algorithm to deal with this problem. The matter-element extension cloud model (MEECM) can clearly represent the characteristics of the object to be evaluated. IPM is used to determine the weight of the index. For the improved matter-element extension model, the traditional rules of “3En” and “50% relevance” are taken into account, and the method of solving the entropy is optimized. Then, for the correlation degree between the object to be evaluated and the graded normal cloud, the weight vector solved by the IPM is used to weigh the cloud correlation degree, which can give a reliable evaluation result. The health evaluation index system of power market operation includes 16 sub-indicators in five categories: supply side, demand side, coordinated operation, market security, and sustainable development. In the empirical analysis, the OHDPM situation in Y Province was evaluated in May 2019. The results prove that the OHDPM level is medium, and the importance and health level of each index are given. The reliability of the power system, transaction price stability, Lerner index, residual proportion of producers, and user satisfaction have a greater impact on the health status. Finally, in order to verify the validity and stability of the model, different methods are used to evaluate the evaluation objects, and the advantages of OHDPM evaluation based on the model framework proposed in this paper are proven.

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“…The operation and development of renewable energy have been evaluated through the system dynamics method (Liu et al, 2017) and entropy weight method (He et al, 2018). Due to the problem of uncertainty and fuzziness in risk assessment in the green energy market (Song et al, 2019), the cloud model is based on the analysis of qualitative concepts using probability theory and fuzzy set theory (Li et al, 2009). In order to realize the rational transformation of qualitative and quantitative problems directly, the model consists of three eigenvalues that describe the uncertainty and fuzziness of evaluation.…”

Section: Introductionmentioning

confidence: 99%

Risk evaluation and management mechanism of green electricity market based on multi-dimensional cloud model

Pan¹,

Qiao²,

Ruan³

et al. 2023

Front. Energy Res.

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In the process of continuous promotion in the green electricity market, various risks have emerged due to the inherent uncertainty and complex trading environment of the market. Evaluating and controlling the risks through a multi-dimensional evaluation is crucial for the smooth and healthy development of the green electricity market. This work proposes a risk assessment method for the green electricity market based on the multi-dimensional cloud model. First, the comprehensive indicator evaluation system is established for both pre-transaction and post-transaction dimensions by analyzing the operating mechanism of the green electricity market. Second, each dimensional cloud is formed by the evaluation clouds of all indicator levels. The comprehensive risk level cloud is generated based on the indicator values and the evaluation clouds of each indicator. Finally, the sources of market risk are identified, and the corresponding risk management methods are proposed on the basis of the risk evaluation level and membership degree of each indicator. The case study results demonstrate that the proposed method can accurately evaluate and reduce the potential risks existing in the green electricity market through the two-stage detection mechanism.

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A Comprehensive Evaluation Model of Power Market Operation Efficiency Based on Extension Cloud Theory

Cited by 9 publications

References 2 publications

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Risk evaluation and management mechanism of green electricity market based on multi-dimensional cloud model

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