Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage

In this paper, an optimal scheduling method based on building virtual energy storage equivalent battery is proposed. Firstly, the thermal load prediction model is built based on the thermodynamic model, and then the equivalent battery model of virtual energy storage is established by combining with inverter air conditioning system model. Then, with the goal of minimizing the user’s electricity cost, considering the constraints of energy storage state and charging and discharging power of equivalent battery model, an optimal scheduling method of building virtual energy storage equivalent battery is constructed. The results show that the proposed method can predict the building thermal load, update the building virtual energy storage equivalent battery parameters, formulate the corresponding optimal scheduling strategy, and reduce the electricity cost of users for heating on the premise of ensuring the thermal comfort of users.

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Belt Conveyor System in Nakago Coal Mine

Journal of the Mining and Metallurgical Institute of Japan ◽

10.2473/shigentosozai1953.87.1005_929 ◽

1971 ◽

Vol 87 (1005) ◽

pp. 929-932

Author(s):

Mitsuo ISHIGAMI

Keyword(s):

Coal Mine ◽

Belt Conveyor ◽

Conveyor System

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Design and analysis of low-speed high torque direct-driven permanent magnet synchronous machines(PMSM) with fractional-slot concentrated winding used in coal mine belt conveyor system

2017 20th International Conference on Electrical Machines and Systems (ICEMS) ◽

10.1109/icems.2017.8056054 ◽

2017 ◽

Cited By ~ 1

Author(s):

Guihou Zhou ◽

Xiaohui Xu ◽

Yong Xiong ◽

Lichun Zhang

Keyword(s):

Permanent Magnet ◽

Coal Mine ◽

Synchronous Machines ◽

Permanent Magnet Synchronous Machines ◽

Belt Conveyor ◽

Conveyor System ◽

Low Speed ◽

High Torque ◽

Fractional Slot Concentrated Winding ◽

Fractional Slot

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Simulation of PID Control of Belt Conveyor System in Coal Mine by an Improved Adaptive Genetic Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.614.215 ◽

2014 ◽

Vol 614 ◽

pp. 215-218 ◽

Cited By ~ 1

Author(s):

Lei Yu ◽

Xu Long Zhang ◽

Feng Wang

Keyword(s):

Genetic Algorithm ◽

Coal Mine ◽

Pid Control ◽

Pid Controller ◽

Parameters Optimization ◽

Step Response ◽

Adaptive Genetic Algorithm ◽

Belt Conveyor ◽

Conveyor System ◽

And Performance

In order to improve the problem of premature and performance of optimization, an improved adaptive genetic algorithm is proposed for parameters optimization of coal mine belt conveyor PID controller by applying the number of iterations to the crossover operation and mutation operation of genetic algorithm. The simulation shows that the step response of the improved algorithm is superior to the traditional adaptive genetic algorithm.

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