scholarly journals Research on the Automatic Generation Control (AGC) Coordinated Control Modes between Provincial Dispatching and Regional Dispatching in Yunnan Power Grid

2011 ◽  
Vol 15 ◽  
pp. 800-806 ◽  
Author(s):  
Xu Dan-li ◽  
Cai Bao-rui ◽  
Liu Yan-quan ◽  
Liu Xin
Keyword(s):  
Power Grid ◽  
Coordinated Control ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Generation Control

scholarly journals Transactive Energy to Thwart Load Altering Attacks on Power Distribution Systems

2019 ◽  
Vol 12 (1) ◽  
pp. 4 ◽  
Author(s):  
Samuel Yankson ◽  
Mahdi Ghamkhari
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Control Mechanism ◽  
Power Grid ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Power Distribution Systems ◽  
Flexible Loads ◽  
Transactive Energy ◽  
Generation Control

The automatic generation control mechanism in power generators comes into operation whenever an over-supply or under-supply of energy occurs in the power grid. It has been shown that the automatic generation control mechanism is highly vulnerable to load altering attacks. In this type of attack, the power consumption of multiple electric loads in power distribution systems is remotely altered by cyber attackers in such a way that the automatic generation control mechanism is disrupted and is hindered from performing its pivotal role. The existing literature on load altering attacks has studied implementation, detection, and location identification of these attacks. However, no prior work has ever studied design of an attack-thwarting system that can counter load altering attacks, once they are detected in the power grid. This paper addresses the above shortcoming by proposing an attack-thwarting system for countering load altering attacks. The proposed system is based on provoking real-time adjustment in power consumption of the flexible loads in response to the frequency disturbances caused by the load altering attacks. To make the adjustments in-proportion to the frequency disturbances, the proposed attack-thwarting system uses a transactive energy framework to establish a coordination between the flexible loads and the power grid operator.

A FO-PID Controlled Automatic Generation Control of Multi Area Power Systems Tuned by Harmony Search

2020 ◽  
Vol 13 (1) ◽  
pp. 101-109
Author(s):  
Aurobindo Behera ◽  
Tapas K. Panigrahi ◽  
Arun K. Sahoo
Keyword(s):  
Power Systems ◽  
Harmony Search ◽  
Automatic Generation ◽  
System Stability ◽  
Automatic Generation Control ◽  
Similar System ◽  
Thermal Plant ◽  
Clear Idea ◽  
Generation Control ◽  
Fractional Controller

Background: Power system stability demands minimum variation in frequency, so that loadgeneration balance is maintained throughout the operation period. An Automatic Generation Control (AGC) monitors the frequency and varies the generation to maintain the balance. A system with multiple energy sources and use of a fractional controller for efficient control of stability is presented in the paper. At the outset a 2-area thermal system with governor dead band, generation rate constraint and boiler dynamics have been applied. Methods: A variation of load is deliberated for the study of the considered system with Harmony Search (HS) algorithm, applied for providing optimization of controller parameters. Integral Square Time Square Error (ISTSE) is chosen as objective function for handling the process of tuning controller parameters. : A study of similar system with various lately available techniques such as TLBO, hFA-PS and BFOA applied to PID, IDD and PIDD being compared to HS tuned fractional controller is presented under step and dynamic load change. The effort extended to a single area system with reheat thermal plant, hydel plant and a unit of wind plant is tested with the fractional controller scheme. Results: The simulation results provide a clear idea of the superiority of the combination of HS algorithm and FO-PID controller, under dynamically changing load. The variation of load is taken from 1% to 5% of the connected load. Conclusion: Finally, system robustness is shown by modifying essential factors by ± 30%.

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