Coordinated PID secondary voltage control of a power system based on genetic algorithm

Abdalla, Omar H.; Ghany, Α. M. Abdel; Fayek, Hady H.

doi:10.1109/mepcon.2016.7836893

Cited by 12 publications

(10 citation statements)

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“…Q Gl is the reactive power limit known from generator capability curve; V GS is the additional signal to the AVR reference. The regulator integral gain, K G , is calculated from the sensitivity matrix; X TG is the generator transformer impedance; X eq is the line impedance; the time constant T G is set to be 5 s [2,4].…”

Section: Wams Configuration In Ieee 39-bus Systemmentioning

confidence: 99%

“…The ANN used in this work has 6 inputs, due to the presence of 6 PMUs-so18 outputs (which are the secondary PID controllers' parameters, since there are 6 partitions, so there are 6 controllers, and each one has 3 parameters, meaning a total 18 outputs)-and the ANN includes a 10-neurons hidden network. The network is designed and trained using the Levenberg-Marquardt backpropagation method [2,30].…”

Section: Neural Network Based On Genetic Secondary Pid Controllermentioning

confidence: 99%

“…It is considered one of the main reasons for voltage collapse, which may drive the power system to blackout. Voltage instability phenomena can be described simply as the inability of bus voltage to return to its original value, or an acceptable value, when the system is subjected to a disturbance [2]. Most of the blackouts resulted from a voltage instability, which mainly occurred due to the inability of the control system to draw enough reactive power to support the voltage at critical grid buses.…”

Section: Introductionmentioning

confidence: 99%

“…The study of [2] presented secondary voltage control based on genetic algorithm (GA), the study was applied in the IEEE 14-bus system, which was considered as a single region power system. The results show the effectiveness of the GA proportional integral derivative (PID) secondary voltage control.…”

Section: Introductionmentioning

confidence: 99%

“…The results show the effectiveness of the GA proportional integral derivative (PID) secondary voltage control. The authors in [2] did not consider WAMS and power system partitioning in their application.…”

Section: Introductionmentioning

confidence: 99%

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Secondary and Tertiary Voltage Control of a Multi-Region Power System

2020

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This paper presents techniques for the application of tertiary and secondary voltage control through the use of intelligent proportional integral derivative (PID) controllers and the wide area measurement system (WAMS) in the IEEE 39 bus system (New England system). The paper includes power system partitioning, pilot bus selection, phasor measurement unit (PMU) placement, and optimal secondary voltage control parameter calculations to enable the application of the proposed voltage control. The power system simulation and analyses were performed using the DIgSILENT and MATLAB software applications. The optimal PMU placement was performed in order to apply secondary voltage control. The tertiary voltage control was performed through an optimal power flow optimization process in order to minimize the active power losses. Two different methods were used to design the PID secondary voltage control, namely, genetic algorithm (GA) and neural network based on genetic algorithm (NNGA). A comparison of system performances using these two methods under different operating conditions is presented. The results show that NNGA secondary PID controllers are more robust than GA ones. The paper also presents a comparison between system performance with and without secondary voltage control, in terms of voltage deviation index and total active power losses. The graph theory is used in system partitioning, and sensitivity analysis is used in pilot bus selection, the results of which proved their effectiveness.

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Section: Wams Configuration In Ieee 39-bus Systemmentioning

confidence: 99%

Section: Neural Network Based On Genetic Secondary Pid Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations