Regional integrated energy system (RIES) cluster, i.e., multi-source integration and multi-region coordination, is an effective approach for increasing energy utilization efficiency. The hierarchical architecture and limited information sharing of RIES cluster make it difficult for traditional game theory to accurately describe their game behavior. Thus, a hierarchical game approach considering bounded rationality is proposed in this paper to balance the interests of optimizing RIES cluster under privacy protection. A Stackelberg game with the cluster operator (CO) as the leader and multiple RIES as followers is developed to simultaneously optimize leader benefit and RIES utilization efficiency. Concurrently, a slight altruistic function is introduced to simulate the game behavior of each RIES agent on whether to cooperate or not. By introducing an evolutionary game based on bounded rationality in the lower layer, the flaw of the assumption that participants are completely rational can be avoided. Specially, for autonomous optimal dispatching, each RIES is treated as a prosumer, flexibly switching its market participation role to achieve cluster coordination optimization. Case studies on a RIES cluster verify effectiveness of the proposed approach.

The regional integrated energy system cluster is of positive significance for the development of the low-carbon power system through multi-source integration and multi-regional coordination. Aiming at the defect that the centralized optimal dispatching method cannot reveal the interests of multi-agent, and to protect the privacy of participants, a distributed cluster optimization model based on multi-agent game is proposed in this paper. A stackelberg game with the operator as the leader and the regional integrated energy system as the follower is established. The operator can improve its profit by adjusting the internal electricity pricing strategy. On the basis of realizing internal power optimization, each region is regarded as a prosumer to participate in intra-cluster transaction, so as to achieve cluster coordinated optimization. Then, the validity of the method proposed in this paper is verified by a case analysis, which provides a reference for the optimization of the integrated energy system cluster.

The integrated energy management system is the key to realize the multi-source coordinated operation of the integrated energy system. The microservice architecture is naturally consistent with the multi-integration characteristics of the integrated energy system, and has the characteristics of loose coupling, which can effectively integrate the functions of the traditional energy system and support the free combination of different computing functions. Therefore, it is necessary to develop integrated energy management system based on microservice architecture, to form an integrated energy dispatching and control platform with high flexibility and compatibility, to integrate the functions of traditional energy system, to support flexible access of new functions, and to meet the demands of energy Internet operation optimization.

The grid load attributable to electric vehicles (EVs) is affected by the choice behaviors of EV users. To analyze the effects of factors such as travel demand and electricity prices on user behavior, a logit discrete choice model is introduced to simulate the users decisions to charge/travel. Based on a quasi-steady-state traffic network, a model for cluster electric vehicles considering the user's behavior is designed to obtain the probability distribution of the user's behavior and the charge and discharge curves of cluster EVs under various scenarios. The validity of the proposed model is verified using an IEEE 9-node traffic network case and an urban traffic network case. Furthermore, the impact of the electricity price, traffic conditions, and other factors on the load curves of urban EVs is analyzed.

This paper analyzes and studies the transmission of Chinese culture from the the perspective of Big Translation. Through analyzing the contents of Big translation and the practical application of Big Translation in the transmission of Chinese culture, we find intralingual translation, interlingual translation and intersemiotic translation all play important roles in the process of cultural transmission. The purpose of this paper is to study how to spread Chinese culture effectively. With various examples, it is concluded that big translation is an important way to promote the effective spread of Chinese culture. We should attach importance to big translation and use it to promote cross-cultural communication and cultural transmission.