Tuning of Power System Stabilizer (Unitrol D) in Benghazi North Power Plant

2013 ◽  
Vol 2 (2) ◽  
pp. 32-43 ◽  
Author(s):  
Tawfiq H. Elmenfy
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Optimization Technique ◽  
System Stability ◽  
Power System Stabilizer ◽  
Power System Stabilizers ◽  
Particle Swarm Optimization Technique ◽  
Matlab Package ◽  
System Stabilizer

The use of power system stabilizers (PSSs) to damp power system swing mode of oscillations is of practical important. The authors purpose is to retune the power system stabilizer (PSS1A) parameters in Unitrol D produced by ABB– was installed in 1995 in Benghazi North Power Plants (BNPPs) at General Electricity Company of Libya (GECOL). Power systems are steadily growing with larger capacity, so the optimal values of the power system stabilizer (PSS1A) parameters should be retuned. A particle swarm optimization technique (PSO) is used to determine the parameters of the PSS off-line. The objective is to damp the local and inter-area modes of oscillations that occur following power system disturbances. The retuned power system stabilizer (PSS1A) can cope with large disturbance at different operating points and has an enhanced power system stability, The MATLAB package with SIMULINK is used for the design and simulations.

scholarly journals An Accurate Method for Delay Margin Computation for Power System Stability

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3466 ◽  
Author(s):  
Ashraf Khalil ◽  
Ang Swee Peng
Keyword(s):  
Time Delay ◽  
Power Systems ◽  
Power System ◽  
System Stability ◽  
Area Measurement ◽  
Power System Stabilizer ◽  
Iteration Algorithm ◽  
Measurement Units ◽  
System Stabilizer ◽  
Delay Margin

The application of the phasor measurement units and the wide expansion of the wide area measurement units make the time delay inevitable in power systems. The time delay could result in poor system performance or at worst lead to system instability. Therefore, it is important to determine the maximum time delay margin required for the system stability. In this paper, we present a new method for determining the delay margin in the power system. The method is based on the analysis in the s-domain. The transcendental time delay characteristics equation is transformed to a frequency dependent equation. The spectral radius is used to find the frequencies at which the roots cross the imaginary axis. The crossing frequencies are determined through the sweeping test and the binary iteration algorithm. A single machine infinite bus system equipped with automatic voltage regulator and power system stabilizer is chosen as a case study. The delay margin is calculated for different values of the power system stabilizer (PSS) gain, and it is found that increasing the PSS gain decreases the delay margin. The effectiveness of the proposed method has been proved through comparing it with the most recent published methods. The method shows its merit with less conservativeness and fewer computations.

scholarly journals Water Cycle Algorithm Based Power System Stabilizer Robust Design for Power Systems

2015 ◽  
Vol 66 (2) ◽  
pp. 91-96 ◽  
Author(s):  
Navid Ghaffarzadeh
Keyword(s):  
Power Systems ◽  
Power System ◽  
Water Cycle ◽  
Computation Time ◽  
System Stability ◽  
Power System Stabilizer ◽  
Water Cycle Algorithm ◽  
Optimum Parameters ◽  
System Stabilizer ◽  
Power System Oscillations

Abstract Power System Stabilizers (PSSs) are used to enhance damping of power system oscillations. This paper presents a new fast algorithm to develop PSS. According to this regard, Water Cycle Algorithm (WCA) is used to detect optimum Power System Stabilizer parameters. For this purpose, the design problem of PSS is formulated as an optimization problem and WCA by forming three subsidiary objective functions is employed to search for optimal power system stabilizer’s parameters to minimize the maximum overshoot and settling time together. In order to show the efficiency of the proposed algorithm, a comparison between WCA and without PSS condition has been done, and the results of proposed algorithm show that it detects optimum parameters in reasonable computation time to increase the power system stability.

scholarly journals Performance Assessment of Fuzzy Logic Power System Stabilizer on North Benghazi Power Plant

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
T. Hussein ◽  
A. Shamekh
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Power System ◽  
Optimization Technique ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Particle Swarm Optimization Technique ◽  
System Output ◽  
System Stabilizer ◽  
One Machine

Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tune KPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).

Optimal design of multi-machine power system stabilizer using robust ant colony optimization technique

2011 ◽  
Vol 34 (7) ◽  
pp. 829-840 ◽  
Author(s):  
M Mary Linda ◽  
N Kesavan Nair
Keyword(s):  
Power Systems ◽  
Power System ◽  
Ant Colony Optimization ◽  
Optimization Technique ◽  
Operating Conditions ◽  
Ant Colony ◽  
Fine Tuning ◽  
Power System Stabilizer ◽  
System Stabilizer ◽  
Genetic Local Search

In this paper, a multi-objective design of the multi-machine Power System Stabilizer (PSS) using Ant Colony Optimization (ACO) is proposed. The fine tuning of PSS parameters problem is converted to an optimization problem that is resolved by an ACO-based dominant metaheuristic technique. The strength of the proposed ACO-based PSS is tested on two different multi-machine power systems under diverse operating conditions. The outcomes of the proposed ACOPSS are compared with the Conventional PSS, Genetic Local Search-based PSS, Chaotic Optimization-based PSS and Particle Swarm Optimization-based PSS (PSOPSS). From the simulation results it can be inferred that the ACOPSS reduces the settling time and maximum overshoot more than the other techniques.

scholarly journals Teaching power system stabilizer and proportional-integral-derivative impacts on transient condition in synchronous generator

2021 ◽  
Vol 10 (5) ◽  
pp. 2384-2395
Author(s):  
Sugiarto Kadiman ◽  
Oni Yuliani ◽  
Trie Handayani
Keyword(s):  
Power Systems ◽  
Power System ◽  
Pid Controller ◽  
Synchronous Generator ◽  
System Stability ◽  
Power System Stabilizer ◽  
Transient Condition ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
System Stabilizer

Understanding the concepts based on problem solving is not an easy methodology in teaching the impact of power systems stabilizer (PSS) on transient synchronous generator using MATLAB capability. Experiments conducted in simulating sessions play an important role in this teaching. This simulation can simulate power system stability behavior with reasonable accuracy in less time. This transient phenomenon of a power system utilizing synchronous generator and modelling by fully three-phase model with changes in stator flux linkages neglected is analyzed by employed single machine infinite bus taken to the power system. Whereas a power system stabilizer which consist of a wash-out circuit, two stages of compensation, a filter unit, and a limiter, is applied to control voltage and frequency of power systems in transient condition. Proportional-integral-derivative (PID) controller tuned by Ziegler-Nichols’s method is cascaded to conventional PSS in order to enhance the response time of system while providing a better result in damping for oscillation. This gives the clear idea about PSS and PID controller impacts on transient synchronous generator and its enhancement to the students of electrical engineering program, Institut Teknologi Nasional Yogyakarta.

scholarly journals Designing a GA-Based Robust Controller For Load Frequency Control (LFC)

2018 ◽  
Vol 8 (2) ◽  
pp. 2633-2639 ◽  
Author(s):  
K. Soleimani ◽  
J. Mazloum
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Frequency Control ◽  
Load Frequency Control ◽  
System Stability ◽  
Robust Controller ◽  
Power Flux ◽  
Pi Controllers ◽  
Multiple Units

Power systems include multiple units linked together to produce constantly moving electric power flux. Stability is very important in power systems, so controller systems should be implemented in power plants to ensure power system stability either in normal conditions or after the events of unwanted inputs and disorder. Frequency and active power control are more important regarding stability. Our effort focused on designing and implementing robust PID and PI controllers based on genetic algorithm by changing the reference of generating units for faster damping of frequency oscillations. Implementation results are examined on two-area power system in the ideally state and in the case of parameter deviation. According to the results, the proposed controllers are resistant to deviation of power system parameters and governor uncertainties.

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