Research Article
A Power Generation Side Energy Storage Power Station Evaluation Strategy Model Based on the Combination of AHP and EWM to Assign Weight
@INPROCEEDINGS{10.4108/eai.27-10-2023.2341927, author={Chunyu Hu and Chunlei Shen and Yifan Zhou and Zezhong Kang}, title={A Power Generation Side Energy Storage Power Station Evaluation Strategy Model Based on the Combination of AHP and EWM to Assign Weight}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={ahp; entropy weight method; evaluation system; energy storage power station}, doi={10.4108/eai.27-10-2023.2341927} }
- Chunyu Hu
Chunlei Shen
Yifan Zhou
Zezhong Kang
Year: 2024
A Power Generation Side Energy Storage Power Station Evaluation Strategy Model Based on the Combination of AHP and EWM to Assign Weight
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2341927
Abstract
With the strong support of national policies towards renewable energy, the rapid proliferation of energy storage stations has been observed. In order to provide guidance for the operational management and state monitoring of these energy storage stations, this paper proposes an evaluation framework for such facilities. Departing from the dimensions of adjustment capacity and operational proficiency, an applicability assessment model for electric energy storage technology is constructed. The model structure is hierarchically organized into goal layer, criterion layer, indicator layer, and alternative layer. Grounded on foundational data from the indicator layer, a combination of Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) is employed to compute indicator weights and relationship matrices. Independent evaluations and comprehensive assessments for distinct criteria are undertaken, culminating in the determination of applicability assessment outcomes for different strategies. These outcomes hold substantial implications for the planning, policy formulation, and commercial utilization of electric energy storage, rendering this research a pivotal reference.