Evaluation of provincial power supply reliability with high penetration of renewable energy based on combination weighting of game theory-TOPSIS method

Li, Wanying; Dong, Fugui; Ji, Zhengsen; Jiang, Lin

doi:10.1016/j.segan.2023.101092

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…Comprehensive evaluation based on combination weighting method [13] Economic, environmental, technical, energy, service IT2HF-DEMATEL method and the entropy method Credibility-based hesitant fuzzy linguistic term set [14] Electricity supply and demand indexes, renewable energy development indexes, electricity transmission indexes, electricity Market indexes AHP, entropy, and CRITIC method Combination weighting of game theory-TOPSIS method [15] Resource, economy, environment Hesitant fuzzy preference relation…”

Section: Ahp and Entropy-weight Methodsmentioning

confidence: 99%

“…The index system is built based on the influence of game theory, and the TOPSIS model is established based on the combination weighting method of game theory. This allows the evaluation of power supply reliability from three dimensions: space, index, and time [14]. Yao Zou et al established a coupling coordination degree evaluation model to evaluate and improve the coupling effect of the power generation system for the power generation system coupled with renewable energy and thermal power.…”

Section: Ahp and Entropy-weight Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics

Wang,

Xiao,

et al. 2024

Sustainability

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Photovoltaic-storage integrated systems, which combine distributed photovoltaics with energy storage, play a crucial role in distributed energy systems. Evaluating the health status of photovoltaic-storage integrated energy stations in a reasonable manner is essential for enhancing their safety and stability. To achieve an accurate and continuous assessment of the health status of photovoltaic-storage integrated energy stations, a dynamic evaluation method is proposed in this study. This method integrates both subjective and objective characteristics. Initially, considering the evaluation needs of low-carbon operation and health status for photovoltaic-storage integrated energy stations, a comprehensive health status evaluation system is developed. The significance of each indicator is subjectively analyzed, while also considering objective characteristics and sensitivity of indicators. The integration of subjective and objective characteristics is achieved using principles from game theory. Subsequently, through the establishment of the Grey-TOPSIS evaluation model, both positive and negative correlations of the health status of photovoltaic-storage integrated energy stations are determined, resulting in the derivation of a health status vector. Furthermore, the introduction of time-weight vectors and the incorporation of a time dimension enable dynamic evaluation and the comprehensive observation of health status. Finally, the scientific validity and effectiveness of the proposed evaluation method are demonstrated through practical examples, with comparisons made to traditional evaluation methods. The results clearly indicate that this method offers higher sensitivity when evaluating the health of photovoltaic-storage integrated energy stations.

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Section: Ahp and Entropy-weight Methodsmentioning

confidence: 99%

Section: Ahp and Entropy-weight Methodsmentioning

confidence: 99%

Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics

Wang,

Xiao,

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…When the capacity of WPVP generation weakens, due to the constraint of climbing rate on thermal power units, thermal power units are unable to quickly increase power to meet the supply-demand balance [3], resulting in a loss of some WPVP during peak periods of WPVP generation. Therefore, a high proportion of the renewable energy power system is prone to the phenomenon of imbalanced electricity demand and supply [4].…”

Section: Introductionmentioning

confidence: 99%

Wind and PV Power Consumption Strategy Based on Demand Response: A Model for Assessing User Response Potential Considering Differentiated Incentives

Zhao,

Wu,

Zhou

et al. 2024

Sustainability

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In China, the inversion between peak periods of wind and photovoltaic (PV) power (WPVP) generation and peak periods of electricity demand leads to a mismatch between electricity demand and supply, resulting in a significant loss of WPVP. In this context, this article proposes an improved demand response (DR) strategy to enhance the consumption of WPVP. Firstly, we use feature selection methods to screen variables related to response quantity and, based on the results, establish a response potential prediction model using random forest algorithm. Then, we design a subsidy price update formula and the subsidy price constraint conditions that consider user response characteristics and predict the response potential of users under differentiated subsidy price. Subsequently, after multiple iterations of the price update formula, the final subsidy and response potential of the user can be determined. Finally, we establish a user ranking sequence based on response potential. The case analysis shows that differentiated price strategy and response potential prediction model can address the shortcomings of existing DR strategies, enabling users to declare response quantity more reasonably and the grid to formulate subsidy price more fairly. Through an improved DR strategy, the consumption rate of WPVP has increased by 12%.

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Confidence Evaluation Method for Electricity Supply Preservation Based on Combined Weights-TOPSIS Approach

Zhang,

Du,

Zeng

et al. 2024

Environmental Science and Engineering

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Evaluation of provincial power supply reliability with high penetration of renewable energy based on combination weighting of game theory-TOPSIS method

Cited by 6 publications

References 37 publications

Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics

Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics

Wind and PV Power Consumption Strategy Based on Demand Response: A Model for Assessing User Response Potential Considering Differentiated Incentives

Confidence Evaluation Method for Electricity Supply Preservation Based on Combined Weights-TOPSIS Approach

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