Development of an On-Farm Electrical Load Management System

1986 ◽  
Vol 29 (1) ◽  
pp. 0281-0287 ◽  
Author(s):  
Albert J. Heber ◽  
Thomas L. Thompson ◽  
Dennis D. Schulte
Author(s):  
Hemanth Kumar Ambala

This paper introduces a novel approach to integrate IOT with an intelligent Industrial Load Management System. A virtual control system is designed to balance the supply of electricity on the network with the electrical load of an industry by recovering heat from hot chemical gases to produce electricity and by disconnecting the low priority loads automatically during power shortage periods. This approach takes advantages of the LabView’s better hardware support, rapid configuration, MATLAB’s ability to perform complex calculations and newer innovations helping in cheaper ways of realising internet connected devices. An intelligent power generating system which works on waste heat recovery mechanism comprising a boiler turbine system is modeled using MATLAB and a human machine interface is developed using LabVIEW. The system that is modeled in MATLAB can be simulated by LabVIEW Simulation Interface Toolkit (SIT) toolkit. The SIT provides a seamless integration between MATLAB/Simulink and LABVIEW.


1986 ◽  
Vol 29 (5) ◽  
pp. 1405-1412
Author(s):  
Albert J. Heber ◽  
Thomas L. Thompson ◽  
Dennis D. Schulte

Author(s):  
Stepan Vasilev ◽  
Vladislav Karpenko ◽  
Alexey Boltunov ◽  
Alexander Voloshin ◽  
Evgeny Voloshin ◽  
...  

2021 ◽  
Vol 13 (15) ◽  
pp. 8580
Author(s):  
Luigi Rubino ◽  
Guido Rubino ◽  
Paolo Conti

In modern aircraft, energy supply management has become a critical matter, since many aboard electrical loads have to be supplied, especially those related to flight safety. However, at the same time, the size and weight of electrical generators must be limited because of their on-board installation. In this paper, the Mixed Integrated Linear Programming (MILP) methodology has been used to formulate the Supervisor definition of the direct current (DC) microgrid (MG) on-board system with an extension for the programmable loads. Due to the problem of dimension increase, two methods have been presented and tested to perform optimal energy management (EM) aboard an aircraft: the Branch and Bound (B&B) and the Linear Regression Approximation (LRA). Finally, numerical simulations and results have been provided to validate the proposed optimization methodologies, according to the dimensions and the complexity of the problem.


2016 ◽  
Vol 6 (10) ◽  
pp. 285 ◽  
Author(s):  
Yuefei Wang ◽  
Hao Hu ◽  
Li Zhang ◽  
Nan Zhang ◽  
Xuhui Sun

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