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On the basis of short-term power load data, an active set algorithm based energy storage system optimization strategy in the distribution network is presented in this paper. When energy storage system is connected to the power grid, the original load and output power of energy storage system is considered as the new network load. In order to improve the reliability and power supply capability of the...
Based on stochastic maximum principle, the optimal control algorithm is proposed for Markov jump system with Constrained Control Input. With statistical linearization method, the parametes of the optimal controler can be achieved by solving a Riccati function. Finally the simulation examples are given to test and verify the function of optimal controller designed in this paper.
A kind of algorithm is proposed in this paper to improve the searching efficiency, which combinates Rough Set Theory (RST) and Genetic Algorithm (GA) for 0-1 knapsack problem. The study is to utilize the knowledge discovery function of RST to find the important genes in GA. Then directed evolution is carried out according to the important genes. Finally, an example of four knapsack problem is used...
The model of vehicle routing problem with backhauls is built based on natural description, then an improved immune algorithm for the problem is applied in which a new coding method, the adaptive mechanism of the information entropy of antibody, and evaluate function are introduced. The computational result demonstrates that the high quality solutions to the vehicle routing problem with backhauls can...
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