Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jordan Radosavljević"'
Autor:
Milena Gajić, Sanela Arsić, Jordan Radosavljević, Miroljub Jevtić, Bojan Perović, Dardan Klimenta, Miloš Milovanović
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
ABSTRACTThis paper proposes a new metahaeuristic algorithm named particle swarm optimization and chaotic gravitational search algorithm (PSO-CGSA) for solving the combined economic and emission dispatch (CEED) problem. First, we determine the efficie
Externí odkaz:
https://doaj.org/article/10c78a802cda4c21bf3c82d70ebda734
Publikováno v:
Energies, Vol 16, Iss 11, p 4356 (2023)
Battery energy storage systems (BESSs) are a promising solution for increasing efficiency and flexibility of distribution networks (DNs) with a significant penetration level of photovoltaic (PV) systems. There are various issues related to the optima
Externí odkaz:
https://doaj.org/article/c8961d27622045958f10fd815b44a55a
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 9-10, Pp 845-857 (2018)
In this paper, the parametric and non-parametric statistical tests are applied for comparisons of metaheuristic algorithms’ (MAs) behavior in solving Combined Economic Emission Dispatch (CEED) problem. In the last years, in many published papers, a
Externí odkaz:
https://doaj.org/article/355ea0de27ff42adaf3f11de2bb5e3d4
Autor:
Jordan Radosavljević
Publikováno v:
Journal of Electrical Engineering. 72:356-365
High penetration of photovoltaic (PV) generation in low voltage (LV) distribution networks can leads some power quality problems. One of the most important issues in this regard is the impermissible voltage deviation in periods with a large imbalance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d29ad6b75d9674d8cd315fc28347eaf
https://doi.org/10.2478/jee-2021-0051
https://doi.org/10.2478/jee-2021-0051
Publikováno v:
Serbian Journal of Electrical Engineering (2021) 18(1):115-135
Serbian Journal of Electrical Engineering, Vol 18, Iss 1, Pp 115-135 (2021)
Serbian Journal of Electrical Engineering, Vol 18, Iss 1, Pp 115-135 (2021)
In this paper, a novel hybrid phasor particle swarm optimization and gravitational search algorithm, namely the hybrid PPSOGSA algorithm, is proposed to find the optimal size and location of shunt capacitors in distribution systems with non-linear lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::658175f39c2161bb254049153dba7a0a
https://doi.org/10.2298/sjee2101115m
https://doi.org/10.2298/sjee2101115m
Publikováno v:
Applied Artificial Intelligence. 35:227-246
This paper presents a new hybrid PPSOGSA algorithm based on the phasor particle swarm optimization (PPSO) and gravitational search algorithm (GSA) for solving the Volt/VAr/THDv control optimization...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e272d42e858cd98fb890d683a4f229
https://doi.org/10.1080/08839514.2020.1855380
https://doi.org/10.1080/08839514.2020.1855380
Publikováno v:
Electric Power Components and Systems. 48:543-557
In this paper, a novel hybrid population-based meta-heuristic algorithm, called the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed to solve the ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf6f5dd37c4097733d42addf9918365
https://doi.org/10.1080/15325008.2020.1797934
https://doi.org/10.1080/15325008.2020.1797934
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 3, Pp 499-510 (2020)
The problem of optimal placement and sizing (OPS) of renewable distributed generation (RDG) is followed by numerous technical, economical, geographical, and ecological constraints. In this paper, it is investigated from two viewpoints, namely the sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b76764d85b209d698816bf4f41dabf7
https://ieeexplore.ieee.org/document/9086996/
https://ieeexplore.ieee.org/document/9086996/
Publikováno v:
IEEE Access, Vol 8, Pp 113219-113229 (2020)
This paper proposes a novel optimization method, namely, hybrid PSOS-CGSA for state estimation in three-phase unbalanced DG-integrated distribution systems. The distribution system state estimation (DSSE) is formulated as a nonlinear optimization pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c813a6c34079f8d8f9ccbb2ac46613d
https://doi.org/10.1109/access.2020.3003521
https://doi.org/10.1109/access.2020.3003521
Publikováno v:
2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3547d196e1fda923981841dbede6383
https://doi.org/10.1109/infoteh53737.2022.9751281
https://doi.org/10.1109/infoteh53737.2022.9751281