Renewable energy sources such as solar energy and wind energy are characterized by intermittency and volatility due to their over-dependence on weather conditions. Therefore, it is especially important for the power system containing renewable energy to equip the energy storage system which can not only guarantee the flexibility of renewable energy utilization, but also improve the reliability of system power supply. Because the Battery Energy Storage System (BESS) is suitable for mass production and large-scale applications, it has become the main energy storage system scheme for the power system. Because different BESS have differences in efficiency of storage, storage capacity, discharge ability and maintenance, it is necessary to make a comprehensive evaluation and selection of the type of BESS for power system. In this paper, a comprehensive evaluation index system of BESS is established by taking the photovoltaic power station in Xizang region as an example. However, the existing methods are difficult to accurately measure the attribute values of each indicator and the correlation between experts. Therefore, this paper proposes the intuitionistic uncertain language Choquet ordered weighted aggregation operator (IULCWA) by combining intuitionistic uncertain language with fuzzy measure and Choquet integral, and establishes a fuzzy multi-criteria decision-making (MCDM) method for BESS selection. Comparison and analysis also prove that the modified model has good scientificity and operability. This study can provide a new theoretical basis for the selection of energy storage schemes for new energy batteries, and expand the application scope of fuzzy MCDM method.

Wind turbine selection is an evaluation problem involving many factors, such as technology, economy, society, etc., and there exist internal dependencies and circular relationships among these factors. This increases the complexity of the selection problem. At the same time, with the development of wind power technology, the types of wind turbines on the market are increasing. Therefore, it is necessary to establish a scientific and comprehensive evaluation system to guide the selection work. This paper extends the traditional indicator system, selecting a total of twelve evaluation indicators from three aspects: operation reliability, economy, and supplier cooperation. The selected indicators are defined in detail to clarify the relationship between them. Then the triangular fuzzy number is introduced to accurately reflect the preference information obtained from experts, and a fuzzy analytical network process (FANP) model for wind turbine unit selection is constructed by combining fuzzy preference programming (FPP) with analytic network process (ANP). In the end, a case study in China is carried out. Results show that the 2.5 W unit produced by Goldwind obtains the best comprehensive evaluation value, which is consistent with the expanding market share permanent magnet direct-drive wind turbines. This paper could provide references for future wind turbine selection questions.