Optimal power flow for an integrated wind-solar-hydro-thermal power system considering uncertainty of wind speed and solar radiation

Jellyfish search algorithm for optimization operation of hybrid pumped storage-wind-thermal-solar photovoltaic systems

“…In addition, the PSHEPs are subjected to the pump power limit due to the water storage function. The generation limits of all power plants [ 8 ] and the pump power limit of PSHEPs [ 14 ] are presented as follows: …”

“…In the past decades, combining HEPs and TPPs has been widely applied for short-term hydrothermal power systems [ 7 ]. Then, those such problems have been expanded by integrating RPPs into hydrothermal power systems such as short-term fixed head wind-hydro-thermal power systems [ 8 ], short-term variable head wind-hydro-thermal power systems [ 9 ], and solar-wind-hydrothermal power system [ 10 ]. The latter problems have the same feature as considering sufficient water in reservoirs for one day or one week, but this assumption is not valid for several dry seasons.…”

Jellyfish search algorithm for economic load dispatch under the considerations of prohibited operation zones, load demand variations, and renewable energy sources

“…ELD and MELD are not exception because they are both classified the optimization problems. There were a lot of researches solving ELD by applying meta-heuristic methods such as hybrid grey wolf optimizer (HGWO) [5], distributed roust optimization (DRO) [6], particle swarm optimization and its improved versions [7]- [9], evolutionary algorithm (EA) [10], tunicate swarm optimizer (TSO) [11], marine predator optimization algorithm (MPOA) [12], k-mean cluster and elbow technique (KMC-ET) [13], a selection of Hyper-heuristic [14], equilibrium optimizer algorithm (EOA) [15], modified social spider optimization (MSSO) [16], ameliorated dragonfly algorithm (ADA) [17], improved jaya algorithm [18], marine predator algorithm [19], modified equilibrium algorithms (MEA) [20], coyote optimization algorithm (COA) [21], harmonic search algorithm (HSA) [22], hybrid swarm intelligence-based HSA (HIS-HAS) [23], squirrel search optimizer (SSO) [24], and improved firefly algorithm (IFA) [25]. The studies have applied different algorithms, such as original and improved versions of metaheuristic algorithms.…”

Optimal power flow solutions to power systems with wind energy using a highly effective meta-heuristic algorithm

“…The implementation of meta-heuristic algorithms to solve the OPF problem incorporating renewable energy is more popular, such as Artificial Bee Colony (ABC) (Ahgajan et al, 2021), Equilibrium Optimizer Algorithm (EOA) (Nusair et al, 2021), Jaya Algorithm (JAYA), and its variants, including Modified Jaya Algorithm (MJY) and the hybrid of Firefly and Jaya algorithm (Warid et al, 2016;Elattar, et al, 2019;and Alghamdi 2021), Multi-objective Coronavirus Herd Immunity Algorithm (MOCOHIA) (Ali 2021), Non-dominated sort grey wolf optimizer (NDGWO), Modified Rao algorithm (MRAO) (Hassan et al, 2021), Effective cuckoo search algorithm (ECSA) (Pham et al, 2022), Barnacle mating optimizer (BMO) (Sulaiman et al, 2021), Manta ray foraging optimization (MRFO) (Alasali et al, 2021), Differential evolution (DE) (Duman et al, 2020), Enhanced genetic algorithm (GA) (Reddy, 2016), Flower pollination algorithm (FPA) (Abdullah et al, 2019), White shark algorithm (WSA) (Ali et al, 2022) and Crow search algorithm (CRSA) (Bamane 2019), Modified Equilibrium algorithm (MEA) (Duong et al, 2021), and Modified coyote optimization algorithm (Li et al, 2019) (MCOA). These algorithms were applied for three four cases with the placement of only WTs (Ahgajan et al, 2021, (Warid et al, 2016, Elattar, et al, 2019, the placement of only solar photovoltaic arrays (Pham et al, 2022;Duong et al, 2021), both WTs and solar photovoltaic arrays (Nusair et al, 2021;Alghamdi 2021-Hassan et al, 2021Sulaiman et al, 2021-Bamane 2019. Some studies have fixed the location, but optimized size of renewable energy based distributed generators at given nodes, whereas some studies have optimized both location and size.…”