Differential evolution algorithm for SSSC-based damping controller design considering time delay

Power-system stability improvement by a static synchronous series compensator SSSC-based damping controller is thoroughly investigated in this paper. The present study considered both local and remote signals with associated time delays. The design problem of the proposed controller is formulated as an optimisation problem, and gravitational search algorithm GSA is employed to search for the optimal controller parameters. The performances of the proposed controllers are evaluated under different disturbances for both single-machine infinite bus power system and multi-machine power system. The performance of the proposed controllers with variations in the signal transmission delays has also been investigated. Simulation results are presented under various operating conditions and disturbances to show the effectiveness and robustness of the proposed approach.

In this paper, a novel method is developed for designing the output feedback controller for Static Synchronous Series Compensator (SSSC). In the proposed method, the problem of selecting the output feedback gains for the SSSC controllers is changed into an optimization problem with a time domain-based objective function.Then, it is solved by using the particle swarm optimization (PSO) algorithm that has a strong ability to find the most optimistic results. Only local and available state variables are used as the input signals of each controller for the decentralized design. Therefore, the designed SSSC controller has a simple and easy-to-implement structure. The performance of the proposed controllers is evaluated for both single-machine infinite-bus (SMIB) power system and multi-machine power system. Then, to show the robustness and effectiveness of proposed design approach, the results are presented over a wide variety of system configurations, loading conditions, and disturbances. Analyzing the results reveals that the designed PSO-based output feedback SSSC damping controller has a strong ability in damping power system oscillations. Furthermore, analyzing system performance under different operating conditions shows that the ψ-based controller is superior to the m-based controllers.

A static synchronous series compensator (SSSC) has the ability to emulate a reactance in series with the connected transmission line. A static synchronous compensator (STATCOM) is able to provide the reactive power to an electricity network. When fed with some supplementary signals from the connected power system, both SSSC and STATCOM are able to participate in the power system inter-area oscillation damping by changing the compensated reactance or the provided reactive power. This paper analyses the influence of SSSC and STATCOM on power system small signal stability. The damping controller schemes for SSSC and STATCOM are presented and discussed. The IEEE 39-bus New England system model as the test system is built in DIgSIELNT PowerFactory, in which the damping control strategies for both SSSC and STATCOM are validated by time domain simulations and modal analysis. Furthermore, comparison studies show that the SSSC is a better solution in term of equipment capabilities and costs.

Single machine infinite bus (SMIB) power system and multi-machine power system (MMPS) stability improvement by tuning of static var compensator (SVC) based controller parameters are investigated in the proposed method. The design problem is formulated as an optimization problem with a time-domain simulation-based objective function and real-coded genetic algorithm is used for searching optimal controller parameters. SMIB power system and MMPS models are developed using MATLAB’s SIMULINK which incorporates SVC controller. A fault is created on the transmission line. The simulation results of SMIB power system and MMPS without SVC controller and with SVC controller are presented. The simulation results are analyzed which show that the power system becomes unstable on the occurrence of the fault if SVC controller is not used. This paper proves the effectiveness of the proposed design. Thus the proposed method enhances the power system stability.

Robust design and best control channel selection of FACTs-based WADC for improving power system stability using Grey Wolf Optimizer

In electromechanical oscillation damping within power system, power system stabilizers (PSSs) are often deployed. However, a PSS is less effective in damping interarea oscillation and is limited by changes in network configuration due to weak tie-lines and load variations. Consequently, this paper presents a wide-area coordination approach that damps interarea oscillations using FACTS devices and phasor measurement units. We selected a static synchronous compensator (STATCOM) and static series synchronous compensator (SSSC) for realistic power system interarea oscillation damping. The performance of the coordinated FACTS installed in a power system depends on their suitable locations, sizes, tuned parameters, and remote input signal selection. Hence, we formulated a multiobjective problem to provide the STATCOM and SSSC's optimal solutions using multiobjective particle swarm optimization. In addition, we employed a participation factor to select suitable generator speed deviations as the wide area stabilizing signal. The proposed approach was tested on different configurations of the Kundur $2$-area $4$-machine test system within MATLAB and Psat environments. The outcome of the nonlinear simulation proved that the multimachine power system stability was enhanced.

A new genetic approach is proposed for optimal selection of the static synchronous series compensator (SSSC) based conventional lead-lag damping controller parameters. The parameters are tuned in order to shift the lightly damped and undamped modes under various loading conditions toward the prescribed stability region. The objective function includes system stability criteria (e.g., damping factor and damping ratio of the eigenvalues for all operating points under consideration) and boundaries of controller parameters (as constraints), enforcing their simultaneous improvement. The robustness is achieved by considering several loading conditions. The work relies on genetic algorithm (to capture the near global solution), analysis of mode observability (to select the effective feedback signal for the damping controller) and the theoretical analysis of a single-machine infinite-bus (SMIB), using its modified linearized Phillips-Heffron model installed with SSSC. It is shown that the results could easily be extended for multi machine power systems. Simulation results are presented to show the fine performance of the proposed SSSC controller in damping the critical modes under different loading conditions without significantly deteriorating damping characteristics of other modes in a SMIB power system

Power system stability enhancement by fractional order multi input SSSC based controller employing whale optimization algorithm

Improvement of synchronizing power and damping power by means of SSSC and STATCOM: A comparative study

<b>Problem statement:</b> Modern power system consists of the complicated network of transmission lines and carries heavy demand. Thus they cause in the stability problem. <b>Approach:</b> Static Synchronous Series Compensator (SSSC) is a power electronic based device that has the capability of controlling the power flow through a line. The series voltage injection model of SSSC is modeled into power flow equation and thus it is used to determine its control strategy. This study applies the fuzzy logic applies the SSSC to improve stability of power system. The mathematical model and control strategy of a SSSC are presented. The SSSC is represented by variable voltage injection with associate transformer leakage control to derive control strategy of SSSC. The swing curves of the three phase faulted power system without and with a SSSC is tested and compared in various cases. <b>Results:</b> The swing curve of the system with SSSC based fuzzy logic control has the less amplitude during the dynamic period. <b>Conclusion:</b> It was found from simulation results that SSSC can improve the power system oscillation after disturbance.

In this paper, a complementary damping controller is presented for the Static Synchronous Series Compensator (SSSC). Power system stability improvement by SSSC-based damping controller and Power System Stabilizers (PSSs) thoroughly scrutinized. The Genetic Algorithm (GA) due to its being immediately perceptive, ease of performing, and the ability to impressively solve the highly non-linear objective has been certified in the academic environment. Coordinated design problem of SSSC-based damping controller and PSSs is formulated as an optimization problem. GA optimization technique is employed to solve the optimization problem and optimize the parameters of SSSC-based damping controller and PSSs. Also, performance of damping controller and PSSs is evaluated under a severe disturbance condition in transmission line for multi-machine power system. The nonlinear simulation results shows that by coordinated design of SSSC-based damping controller and PSSs, inter-area and local modes of oscillations are exceptionally damped.

This paper represents, the enhancement of power system stability by coordinating control design of power system stabilizer (PSS) and static synchronous series compensator (SSSC). The coordinated controller's parameters are formulated as an optimization problem and to search for such optimal parameters firefly (FF) algorithm is used in both cases of single machine infinite bus and multi machine power system(MMPS). The coordinately control design of power system stabilizer and PID based SSSC based controller uses speed deviation as input signal. The dynamic performance of the proposed technique is obtained under different loading conditions and different position of fault conditions. The effectiveness and robustness of coordinated design approach is discussed to improve the damping of power system oscillation and hence stability of power system.

In this paper, a new scheme to control an Static Synchronous Series Compensator (SSSC) installed in a two-area power system is proposed. The power system is equipped with the SSSC to improve Load-Frequency Control (LFC). In the proposed scheme, SSSC is able to compensate for load changes in both areas on both sides of SSSC. Objective functions of designing parameters are based on Integral of Time multiplied by Absolute value of the Error (ITAE). Parameters of conventional integral controllers and active power controller of SSSC are designed using defined optimization problems. To solve the optimization problems, PSO algorithm is used. Simulation results of the two-area power system equipped with SSSC and without SSSC are compared.

One of the technical solutions for improving the stability of power system is incorporation of Static Synchronous Compensators (STATCOM) and Static Synchronous Series Compensator (SSSC) controllers. However, the impact of hybridized STATCOM and SSSC on the generator damping stability of the power system to improve the post disturbance recovery voltages of the generator is necessary. Thus, in this study, hybridized model of STATCOM and SSSC controllers were incorporated on the Nigerian 31-bus power system to improve the system generator damping stability during disturbance. Transient stability of electrical power system with contingency was performed using swing equations technique. Line-Voltage Stability Index (L-VSI) technique was employed to determine the critical load bus for the placement of the controllers. Hybridized model of the STATCOM and SSSC was developed and incorporate into the selected load buses and its impact on stability of the generator oscillation damping was examined. Simulation was done in MATLAB R2023a. The generator damping ratio, total active power losses and total cost of controllers were determined. Results verified the effectiveness of hybridized model of STATCOM and SSSC controllers in improving the stability of power generator oscillation damping. Keywords : STATCOM, SSSC, Line-Voltage Stability Index, Contingency, Generator Oscillation Damping, Power Loss. DOI: 10.7176/NCS/15-04 Publication date: February 28 th 2025

This research evaluates the viability of the artificial eco-system optimization (AEO), a novel metaheuristic algorithm, for optimal power system stabilizers (PSSs) tuning in single-machine infinite bus (SMIB) and western system coordinating council (WSCC) multi-machine power systems. The PSS design problem was converted to an optimization problem to achieve optimal tuning, and an eigenvalue-based objective function was employed. The eigenvalue objective function was defined to optimally obtain the PSSs parameters and enhance the power system dynamic performance by improving the damping of electromechanical modes (EMs). The proposed AEO-based PSS performance was validated by comparing the results obtained with genetic algorithm (GA)-based PSS, particle swarm optimization (PSO)- based PSS design, and similar published work. AEO-based PSS method of tuning has been shown to damp electromechanical modes (EMs), control low-frequency oscillations (LFO), and provide better transient performance and convergence rate. Cite this article as: T. Ebuka Odoh, A. Sabo, N. Izzri Abdul Wahab and H. Beiranvand, "Artificial eco-system-based optimization algorithm for optimal design of single-machine infinite bus power system stabilizer," Electrica, 23(3), 522-533, 2023.