scholarly journals Automatic Load Disconnection and Reconnection to Power System using Controllable Loads

Author(s):  
K Hareesh ◽  
A Siva Satya Reddy ◽  
Ch Dinesh ◽  
Imran Abdul

Now a days, Renewable Energy Resources are playing a vital role in power system to meet the demand. As Renewable Resources includes solar power, Wind power generation they are eco-friendly in the aspect of power generation. It is progress a step forward to integrate the renewable power along with base load plants such as Thermal power plant. With the advancement in the network Technology, smart meters had became the key components in maintaining the power system to behave smartly by the demand side management. On the other hand, the sudden loss of Generation due to natural calamities like cyclones, will become a great burden on the power system. And thus the power system will try to be out of synchronization and leads to the problem of unstable. This is because of high penetration of Renewable power source like solar, wind etc...in to the Grid. Hence this type of scenario results in BLACKOUT of the power system which means the whole power system is going to be shut down and the whole world will remain in the darkness. To avoid the above situation, Demand Side Management is the best solution which is possible with controllable loads and load controller together called as Smart meter. This will play a key role is retaining the system frequency and LOAD FREQUENCYCONTROL will be improved further. In this project, we are going to simulate the simulink model of power system LOAD FREQUENCY CONTROL WITH CONTROLLABLE LOADS in MATLAB

2016 ◽  
Vol 5 (4) ◽  
pp. 62-83 ◽  
Author(s):  
Dipayan Guha ◽  
Provas Kumar Roy ◽  
Subrata Banerjee

In this article, a novel optimization algorithm called grey wolf optimization (GWO) with the theory of quasi-oppositional based learning (Q-OBL) is proposed for the first time to solve load frequency control (LFC) problem. An equal two-area thermal power system equipped with classical PID-controller is considered for this study. The power system network is modeled with governor dead band and time delay nonlinearities to get better insight of LFC system. 1% load perturbation in area-1 is considered to appraise the dynamic behavior of concerned power system. Integral time absolute error and least average error based fitness functions are defined for fine tuning of PID-controller gains employing the proposed method. An extensive comparative analysis is performed to establish the superiority of proposed algorithm over other recently published algorithms. Finally, sensitivity analysis is performed to show the robustness of the designed controller with system uncertainties.


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