Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources

Karthik, N.; Parvathy, A. K.; Rajagopalan, Arul; Padmanathan, K.

doi:10.1007/s40095-021-00397-x

Cited by 31 publications

(35 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If a Levy flight-based approach is utilized for system identification, it achieves rapid convergence and does not entail derivative information [ 40 ], attributed to stochastic random search, in line with the Levy flight concept [ 41 ]. Levy flight contributes heavily to increasing the optimal solution's local search avoidance and local trapping [ 42 ]. The flowchart of the proposed IMA algorithm is shown in Figure 1 .…”

Section: Improved Mayfly Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm

Karthik

Rajagopalan

Angalaeswari

et al. 2022

Computational Intelligence and Neuroscience

Self Cite

View full text Add to dashboard Cite

Electricity can be provided to small-scale communities like commercial areas and villages through microgrid, one of the small-scale, advanced, and independent electricity systems out of the grid. Microgrid is an appropriate choice for specific purposes reducing emission and generation cost and increasing efficiency, reliability, and the utilization of renewable energy sources. The main objective of this paper is to elucidate the combined economic emission dispatch CEED problem in the microgrid to attain optimal generation cost. A combined cost optimization approach is examined to minimize operational cost and emission levels while satisfying the load demand of the microgrid. With this background, the authors proposed a novel improved mayfly algorithm incorporating Levy flight to resolve the combined economic emission dispatch problem encountered in microgrids. The islanded mode microgrid test system considered in this study comprises thermal power, solar-powered, and wind power generating units. The simulation results were considered for 24 hours with varying power demands. The minimization of total cost and emission is attained for four different scenarios. Optimization results obtained for all scenarios using IMA give a comparatively better reduction in system cost than MA and other optimization algorithms considered revealing the efficacy of IMA taken for comparison with the same data. The proposed IMA algorithm can solve the CEED problem in a grid-connected microgrid.

show abstract

Section: Improved Mayfly Algorithmmentioning

confidence: 99%

“…Here, Γ(x)=( x − 1)!, r 5 corresponds to r 6 indiscriminate numbers that lie in the range of [0, 1], and 1 < β ≤ 2, where there is a constant value, i.e., 1.5 incorporated for β in the current study [ 40 – 42 ].…”

Section: Improved Mayfly Algorithmmentioning

confidence: 99%

Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm

Karthik

Rajagopalan

Angalaeswari

et al. 2022

Computational Intelligence and Neuroscience

Self Cite

View full text Add to dashboard Cite

show abstract

“…Karthik (2021) proposed a multi-objective approach based on the Levy flight algorithm in order to optimize the power flow of a wind-solar system coupled with a conventional thermal power source. Their results indicated the superiority of the proposed method in terms of exploration of the search space and convergence towards an optimal solution (Karthik et al, 2021). Brenna et al, simulated PV system and energy storage technologies considering electrical vehicles in order to explore their impact on the centralized power system, they deduced that the future adoption of rooftop photovoltaic panels and the impact on centralized generation is incredibly higher than the adoption of energy storage systems (Brenna et al, 2020).…”

Section: Introductionmentioning

confidence: 97%

Energy Management Strategy Based on Marine Predators Algorithm for Grid-Connected Microgrid

Kheiter

Souag

Abdellah

et al. 2022

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

This work aims to optimize the economic dispatch problem of a microgrid system in order to cover the load of a commercial building in Algeria. The analyzed microgrid system is connected to the power grid and composed of photovoltaic panels (PV), wind turbine, battery energy storage system (BESS) and diesel generator. To ensure energy balance and the flow of energy, we have implemented an energy management strategy based on Marine Predator Algorithm (MPA) and Multilayer Perceptron Neural Network (MLPNN), which guarantee an optimal economic operation of the system. First, using historical meteorological data, the power generation is forecasted a day-ahead using MLPNN, which allows the optimization of the microgrid operation. Second, the proposed strategy has been studied under three different microgrid configurations. Eventually, the performances of MPA are compared against well-known algorithms. The results indicate that the integration of the PV-BESS microgrid system significantly reduces the daily operating cost up to 34.5%. Due to the availability of wind resources in the studied area, the addition of a wind turbine to the microgrid minimizes the operating cost by 43.96% compared to the operating cost of the power grid. In the case of selling excess energy to the main power grid, the operating cost could be decreased as much as 49.33%.

show abstract

“…A technique based on the DE was suggested in [30] for the OPF problem considering solar and wind powers. Some recent applications of metaheuristic methods for OPF problem in presence of RES such as constrained multi-objective population extremal optimization (CMOPEO) [31], combination of fitnessdistance balance and adaptive guided differential evolution (FDBAGDE) [32], levy interior search algorithm (LISA) [33], grey wolf optimization (GWO) [34], barnacles mating optimizer (BMO) [35], differential evolutionary particle swarm optimization (DEEPSO) [36], and Levy coyote optimization algorithm (LCOA) [37].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Multiobjective Optimal Power Flow-Based Renewable Energy Sources Using Intelligent Algorithm

Huy¹,

Nguyen

Nor

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources

Cited by 31 publications

References 39 publications

Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm

Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm

Energy Management Strategy Based on Marine Predators Algorithm for Grid-Connected Microgrid

Performance Improvement of Multiobjective Optimal Power Flow-Based Renewable Energy Sources Using Intelligent Algorithm

Contact Info

Product

Resources

About