Browsing by Author "Bousaadia, Baadji"

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Comprehensive learning bat algorithm for optimal coordinatedtuning of power system stabilizers and static VAR compensator inpower systems
(Taylor and Francis Ltd, 2019) Bousaadia, Baadji; Bentarzi, Hamid; Bakdi, Azzeddine
This article presents a novel comprehensive learning bat algorithm (CLBAT)for the optimal coordinated design of power system stabilizers (PSSs)and static VAR compensator (SVC) for damping electromechanical oscilla-tions in multi-machine power systems considering a wide range of oper-ating conditions. The CLBAT incorporates a new comprehensive learningstrategy (CLS) to improve microbat cooperation; location updating is alsoimproved to maintain the bats’ diversity and to prevent premature con-vergence through a novel adaptive search strategy based on relative trav-elled distance. In addition, the proposed elitist learning strategy speedsup convergence during the optimization process and drives the globalbest solution towards promising regions. The superiority of the CLBATover other algorithms is demonstrated via several experiments and com-parisons through benchmark functions. The developed algorithm ensuresconvergence speed, credibility, computational resources and optimal tun-ing of PSSs and SVCs of multi-machine systems under different operatingconditions through eigenanalysis, nonlinear simulation and performanceindices.
Oscillation damping improvement using PMU based PSS in power system
(Université M'Hamed Bougara : Institut de génie électrique et électronique, 2021) Bousaadia, Baadji; Bentarzi, Hamid(Directeur de thèse)
The interconnection of power systems and the increase of power transfer are required to meet the increasing demand of electrical energy. These requirements drive the modern power systems closer to their limits of operation. Consequently, low frequency oscillations may arise in systems not affected previously and become a major source of systems instability and limitation factor of power exchange over long distances. One method of mitigation of those oscillations relies on power system stabilizers (PSSs) that can provide effective damping to local oscillation modes by using locally measured signals. However, they lack observability of inter-area modes, which results of poor damping for those modes. In this thesis, a wide area power system stabilizers (WAPSSs), able to effectively damp out inter-area oscillations in large power systems, is adopted. The proposed approach relies on the development of phasor measurement units (PMUs), which provide remote signals as inputs for WAPSSs for real-time implementation. The effectiveness of the proposed approach depends on many considerations. The first step is the selection of suitable control locations and remote signals with high observability to the targeted inter-area modes. To face this requirement, geometric measures of observability and controllability is adopted. The second crucial step is the optimal tuning of WAPSS to achieve adequate damping. A novel metaheuristic algorithm, comprehensive learning bat algorithm (CLBAT), is employed for the tuning process and compared with state of the art metaheuristic algorithms. Finally, the time delays associated with the global signals can deteriorate the performance of the proposed WAPSSs. Thereby a time delay compensators are proposed compensate time delays in wide area measurements based control. The performance of these WAPSSs has been evaluated on the New England/ New York and Two area four machine multimachine systems via eigenvalue analysis, and nonlinear time domain simulations
Robust Wide Area Power System Stabilizers Design in Multimachine System based on Backtracking Search Optimization
(IEEE, 2019) Bousaadia, Baadji; Bentarzi, Hamid; Ayache, Mati
In this paper the design of a robust wide-area power system stabilizers (WAPSS) taking into account the effect of the time delay using Backtracking Search Optimization is presented. In The wide area control design the remote signal is used as input for the power system stabilizer since it has better observability compared to the local signal .However the introduced time delay due to communication links can degrade the performance of the WAPSS in some cases .The proposed BSA simultaneously search for the optimal WAPSS parameters that relocate the weakly damped modes and maximize the time delay for multiple operating conditions to guarantee the robustness. The effectiveness of the WAPSS is tested on the two-area four machine power system. The nonlinear simulation and eigenvalue analysis have revealed the effectiveness of the proposed controller in damping the inter-area oscillations even with a time delay in the remote signals.
SMIB power system model with PSS for transient stability studies
(IEEE, 2017) Bousaadia, Baadji; Bentarzi, Hamid; Bouaoud, Abdelhakim
This paper presents the development of single machine infinite bus system (SMIB) model for transient stability studies with detailed synchronous machine model and a Power System Stabilizer (PSS) in matlab/simulink software. The proposed method of the SMIB simulator is computationally efficient and flexible for interfacing the synchronous machine with the external network and for extending to multimachine system representation. The Simulation on the SMIB for the machine model with manual control, with the excitation system included and with the excitation system and PSS is performed to evaluate the transient stability of the system when a three phase fault on the transmission line is occurred with different clearing times. The obtained results show an accurate performance of the model developed for stability studies.