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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.

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The research object in this paper is the sub network formed by the predecessor's affect on the solution activity. This paper is to study three types of influencing factors from the predecessors that lead to the delay of starting time of the solution activity on the longest path, and to analyze the influence degree on the delay of the solution activity's starting time from different types of factors. On this basis, through the comprehensive analysis of various factors that influence the solution activity, this paper proposes a metric that is used to evaluate the solution robustness of the project scheduling, and this metric is taken as the optimization goal. This paper also adopts the iterative process to design a scattered buffer heuristics algorithm based on the robust scheduling of the time buffer. At the same time, the resource flow network is introduced in this algorithm, using the tabu search algorithm to solve baseline scheduling. For the generation of resource flow network in the baseline scheduling, this algorithm designs a resource allocation algorithm with the maximum use of the precedence relations. Finally, the algorithm proposed in this paper and some other algorithms in previous literature are taken into the simulation experiment; under the comparative analysis, the experimental results show that the algorithm proposed in this paper is reasonable and feasible.