Research on the evaluation of distributed integrated energy system using improved analytic hierarchy process-information entropy method

Xuan, Kai; Hao, Yongsheng; Liang, Zhouyuan; Zhang, Junli

doi:10.1080/15567036.2022.2143951

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Xuan et al [5] conducted a comprehensive study on the evaluation of distributed integrated energy systems (IES). They proposed energy use quality elements to address the high energy supply requirements of users in distributed IES, and these elements were characterized using the supply-demand imbalance rate indicator.…”

Section: Introductionmentioning

confidence: 99%

Hydropower Unit State Evaluation Model Based on AHP and Gaussian Threshold Improved Fuzzy Comprehensive Evaluation

et al. 2023

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Because a single monitoring index cannot fully reflect the overall operating status of the hydropower unit, a comprehensive state evaluation model for hydropower units based on the analytic hierarchy process (AHP) and the Gaussian threshold improved fuzzy evaluation is proposed. First, the unit equipment was divided into a hierarchical system, and a three-tier structure system (target layer-project layer-index layer) of the unit was constructed, and the weight of each component in the system was determined by the comprehensive weighting method. Secondly, according to the characteristics of the normal distribution of the historical health data of the unit, the upper and lower limits of the index were determined based on the Gaussian threshold principle, the real-time monitoring index degradation degree was calculated according to the index limit, and the degradation degree was applied to the fuzzy evaluation model to obtain the fuzzy judgment matrix. The result of assessment was divided into four sections: good, qualified, vigilant, and abnormal. Finally, combined with the unit hierarchical structure system, the weighted calculation of the fuzzy judgment matrix of each indicator, the overall fuzzy judgment matrix of the upper-level indicators of the unit was obtained, and the operating status of the unit was judged according to the matrix. Taking a real power plant unit as an example, the model was verified, and compared with other evaluation methods, the effectiveness and advantages of the proposed method were verified. In addition, the method proposed in this paper effectively solved the problems of index weighting and index limit determination in the existing model of unit condition evaluation.

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Section: Introductionmentioning

confidence: 99%

Hydropower Unit State Evaluation Model Based on AHP and Gaussian Threshold Improved Fuzzy Comprehensive Evaluation

et al. 2023

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“…Considering the differentiated characteristics of the above weighting methods, some scholars attempt to combine the two types of weighting methods. Xuan et al [20] used the analytic hierarchy process (AHP) and information entropy method (IEM) to evaluate the values of ESSs in the integrated energy system. However, the AHP method used is complicated and has too many index comparisons, which will decrease the computation efficiency [21].…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Value Evaluation of Energy Storage Systems in New Power System Based on Multi-Criteria Decision-Making

Shao¹,

Wei²,

Liu

et al. 2023

Processes

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The power sector may reduce carbon emissions and reach carbon neutrality by accelerating the energy transition and lowering its reliance on fossil fuels. However, there are limitations on the new power system’s ability to operate safely and steadily due to the randomness, volatility, and intermittent nature of renewable energy supply. The key to solving this issue is to harness the flexible resources that energy storage systems (ESSs) represent; however, ESSs have more than a value for providing system flexibility. Thus, this study suggested a flexible, technical, economic, and environmental value index system based on multi-criteria decision-making models for evaluating the multi-dimensional value of ESSs. First, the objective and subjective weights are obtained using the CRITIC model and best–worst method; then, the weights are combined using the minimum relative entropy model. The complete values of five typical ESSs are then evaluated using the TOPSIS model. Three scenarios that reflect the traits of the new power system are then created and analyzed. The outcome demonstrates the following: (1) as the new power system continues to grow, the value of ESSs’ flexibility has become ever more crucial; (2) as the need for system flexibility increases, the value of electrochemical ESSs gradually manifests.

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Comprehensive evaluation of multi-energy complementary ecosystem based on improved multicriteria decision-making method

Shuyi,

Xuetong,

Huaguang

et al. 2024

Clean Energy

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The multi-energy complementary ecosystem is an important form of the modern energy system. However, standardized evaluation criteria and the corresponding method framework have not yet been formed, resulting in unclear standards and irregular processes of its construction. To cope with this issue, a novel comprehensive evaluation framework for multi-energy complementary ecosystems is proposed in this study. First, a 5D comprehensive evaluation criteria system, including environment, economy, technology, safety and systematicness, is constructed. Then, a novel multicriteria decision-making model integrating an analytic network process, entropy and preference-ranking organization method for enrichment evaluation under an intuitional fuzzy environment is proposed. Finally, four practical cases are used for model testing and empirical analysis. The results of the research show that the unit cost of the energy supply and the internal rate of return indexes have the highest weights of 0.142 and 0.010, respectively. It means that they are the focus in the construction of a multi-energy complementary ecosystem. The net flows of four cases are 0.015, 0.123, –0.132 and –0.005, indicating that cases with a variety of energy supply forms and using intelligent management and control platforms to achieve cold, heat and electrical coupling have more advantages.

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Research on the evaluation of distributed integrated energy system using improved analytic hierarchy process-information entropy method

Cited by 4 publications

References 25 publications

Hydropower Unit State Evaluation Model Based on AHP and Gaussian Threshold Improved Fuzzy Comprehensive Evaluation

Hydropower Unit State Evaluation Model Based on AHP and Gaussian Threshold Improved Fuzzy Comprehensive Evaluation

Multi-Dimensional Value Evaluation of Energy Storage Systems in New Power System Based on Multi-Criteria Decision-Making

Comprehensive evaluation of multi-energy complementary ecosystem based on improved multicriteria decision-making method

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