Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yosra WELHAZI"'
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1463 (2022)
This paper presents a new control technique based on uncertain fuzzy models for handling uncertainties in nonlinear dynamic systems. This approach is applied for the stabilization of a multimachine power system subject to disturbances. In this case,
Externí odkaz:
https://doaj.org/article/068a3d33267c49d89e5d2855866070a2
Autor:
Yosra Welhazi, Tawfik Guesmi, Badr M. Alshammari, Khalid Alqunun, Ayoob Alateeq, Yasser Almalaq, Robaya Alsabhan, Hsan Hadj Abdallah
Publikováno v:
Energies, Vol 15, Iss 3, p 860 (2022)
This paper proposes a novel hybrid algorithm combining chaotic Jaya (CJaya) and sequential quadratic programming (SQP), namely CJaya-SQP, for solving the coordinated design problem of static var compensator (SVC) and power system stabilizers (PSSs).
Externí odkaz:
https://doaj.org/article/c4253580376d46ccbd52057e156c6080
Publikováno v:
2019 10th International Renewable Energy Congress (IREC).
This paper presents the application of the teaching learning based optimization (TLO) for coordinated tuning of the static var compensator (SVC) and power system stabilizers (PSSs) damping controllers. The objective is to improve the damping of low f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a44d77fb5107f0f3df6ac630515351b0
https://doi.org/10.1109/irec.2019.8754644
https://doi.org/10.1109/irec.2019.8754644
Publikováno v:
2019 10th International Renewable Energy Congress (IREC).
This paper proposes Jaya algorithm for designing a coordinated structure composed of power system stabilizers (PSSs) and thyristor controlled series compensator (TCSC) based damping controller. In the design approach, a large and pre-specified set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d9fcc009edeeb7ecfd2ab08cc67fabe
https://doi.org/10.1109/irec.2019.8754647
https://doi.org/10.1109/irec.2019.8754647
Publikováno v:
Leonardo Journal of Sciences, Vol 14, Iss 26, Pp 43-56 (2015)
This paper presents the problem of the Economic/Environmental power Dispatching (EED) of hybrid power system including wind energies. The power flow model for a stall regulated fixed speed wind generator (SR-FSWG) system is discussed to assess the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::86245235cc495d42c80d322353c353cf
http://ljs.academicdirect.org/A26/get_htm.php?htm=043_056
http://ljs.academicdirect.org/A26/get_htm.php?htm=043_056
Publikováno v:
International Journal of Energy Optimization and Engineering (IJEOE). 4(3):33-48
Applying multi-objective particle swarm optimization (MOPSO) algorithm to multi-objective design of multimachine power system stabilizers (PSSs) is presented in this paper. The proposed approach is based on MOPSO algorithm to search for optimal param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b336aac855c4617b71a8cd2bbabc7b3
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEOE.2015070103
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEOE.2015070103
Publikováno v:
SSD
In this paper, we propose a detailed flexible approach for incorporating static loads into the small signal analysis framework of a power system. In particular, constant power, constant current and constant impedance loads are illustrated. The incorp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cca24ea57908ac4a13b31b9ef37895
https://doi.org/10.1109/ssd.2015.7348152
https://doi.org/10.1109/ssd.2015.7348152
Publikováno v:
2014 5th International Renewable Energy Congress (IREC).
This paper presents the application of multiple-objective particle swarm optimization (MOPSO) algorithm for solving the static reactive power dispatch (RPD) problem. The optimal RPD problem is a nonlinear multi-objective optimization problem which in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f2ce6b431b62cdf2195367f2b3101e7
https://doi.org/10.1109/irec.2014.6826901
https://doi.org/10.1109/irec.2014.6826901