This paper proposes an integrated energy service method for thermoelectric coupled systems considering demand response. First, based on the framework of a typical thermoelectric coupling system, the energy hub equation of the system source load energy is established; second, the minimum system operating cost is selected as the optimization objective, and the transferable load participation ratio and the convertible load participation ratio are the load side constraints. Conditions, to achieve the mathematical modeling of the system; finally, the results of the calculation example show that the total cost of the system is reduced by 35.7% at the high transferable load participation ratio and the low convertible load participation ratio, and the optimal energy consumption of the thermoelectric coupling system is realized.
With the development of smart grids, the requirements for online real-time monitoring of transmission lines are gradually increasing. Fiber sensors have both sensing and transmission functions, and are gradually being widely used in the field of online monitoring. Among them, the optimal configuration of the sensor becomes very important. In this paper, an improved artificial fish swarm algorithm is proposed to solve the optimal sensor configuration problem; the optimized configuration of the downhole flat cable structure sensor is simulated and analyzed, and its performance is compared with the particle swarm optimization (PSO) algorithm. The results show that the improved artificial fish school algorithm has obvious advantages in the convergence accuracy and convergence speed of the sensor optimal configuration problem. This method can effectively improve the coverage effect and device utilization, and reduce the cost consumption.
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