With the popularity of electric vehicles, the impact of charging power on the original grid load is increasingly prominent. Electric vehicles can realize the benign interaction with power grid through the V2G technology. The mathematical model is solved with genetic algorithm in this paper based on the objective function as the minimization of daily charging cost. Constraint conditions such as maximum charge and discharge power limits and state of charge are considered. By analyzing the charge and discharge control of single car and the influence of electric vehicles’ charge and discharge on power grid, it is concluded that charge and discharge control strategy proposed in this paper can optimize the operation of the power grid and realize win-win situation of the user and the power grid with the time-of-use electricity pricing mechanism.
In this paper, a novel image classification method, incorporating active learning and semi-supervised learning (SSL), is proposed. In this method, two classifiers are needed where one is trained by labeled data and some unlabeled data, while the other one is trained only by labeled data. Specifically, in each round, two classifiers iterate to select useful examples in contention for user query. Then we compute the label changing rate for every unlabeled example in each classifier. Those examples in which the label changing rate is zero and the label in the two classifiers is the same are selected to add into the training data of the first classifier. Our experimental results show that our method significantly reduced the need of labeled examples, while at the same time reducing classification error compared with widely used image classification algorithms.
This thesis introduces a frequency converter constant pressure water supply system which controlled by the fuzzy controller DB-3000A and the frequency converter INVTG9011T4.The double pump can be controlled by a frequency converter efficiently. The frequency conversion constant pressure water supply system is designed by a operation mechanism which has dual-pump with four status. The pressure of water supply has been decided by the water yield of consumers. The pressure value of pressure gauges decides the degree of working load. This system worked well in practical application. This system has advantages like security in operation, flexibility, electricity saving, extended the life of the pump, and so on.
In this paper, the fuzzy analytic hierarchy process (AHP) is used to establish the comprehensive evaluation index system for tiered electricity pricing scheme. First the calculation method of each factor is given, and it is translated into centesimal system. Than the fuzzy analytic hierarchy process (AHP) is used to calculate the weights of each factor. This evaluation method quantifies the qualitative indexes, to enhance the scientific and reliability for evaluation of tiered electricity pricing.
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