Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid

Chengdu, China

Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid

Chengdu, China
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Yan Z.,University of Sichuan | Yan Z.,Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid | Liu J.,University of Sichuan | Liu J.,Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid | And 2 more authors.
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2014

The appearance of micro-grid can decrease the adverse influence of the distributed generation to the power grid, and realize the combined supply of cooling, heating and electricity for the load area. The co-generation system usually is operated using two basic operation strategies: the following electric load (FEL) and following thermal load (FTL). In order to avoid the excess energy caused by the basic strategies in the operation process and further increase the energy utilization ratio, based on the basic operation strategies, the combined operation strategy (COS) is proposed, and the corresponding mathematical model is constructed. Considering both of the energy quantity and quality, the exergy analysis method is used for the energy consumption analysis of the system. For the energy consumption, operation cost, carbon dioxide emissions (CDE), and exergy enenry ratio (EER), three different strategies are contrasted by the example to verify the feasibility and effectiveness of the proposed strategy. © Sila Science. All Rights Reserved.


Liu Y.-B.,University of Sichuan | Liu Y.-B.,Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid | Liu J.-Y.,University of Sichuan | Liu J.-Y.,Sichuan Provincial Key Laboratory of Intelligent Electrical Power Grid | And 4 more authors.
Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition) | Year: 2011

Based on the research of complex network, branch potential energy was proposed as edge weight to be included in the complex network modeling of power system. Element information and network parameters were also analyzed. Simulation results illustrated that, like topology distribution features, some transition variables ware proved to have typical complex network characteristics, such as scale and small-world. The static branch energy distribution was found to be exponential and power-law distribution. The phenomenon indicated that there are some elements that play much more important role than others in the status transition. It presented a new idea for studying the state evolution of power system from the perspective of static energy distribution.

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