Reducing LMP and resolving the congestion of the lines based on placement and optimal size of DG in the power network using the GA-GSF algorithm

Dashtdar, Masoud; Najafi, Mohammad; Esmaeilbeig, Mostafa

doi:10.1007/s00202-020-01142-z

Cited by 13 publications

(2 citation statements)

References 22 publications

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“…Dashtdar et al (2020) applied the genetic algorithm to calculate the locational marginal price (LMP) and optimal power flow problem based on congestion management. Dashtdar et al (2021) applied the genetic algorithm for reducing LMP and resolving the congestion of the lines based on the placement and optimal size of DG in the power network. Dashtdar et al (2022b) used a hybrid FA-GA multi-objective algorithm to solve the environmental/economic dispatch problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing and placement of capacitors in the isolated microgrid throughout the day considering the demand response program

Basu,

Jena,

Khan

et al. 2024

Front. Energy Res.

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Reactive power compensation (RPC) is a big problem during power system operation. Parenthetically, capacitor allocation and sizing may be the only convenient solution for RPC of power systems. The loss sensitivity factor (LSF) is applied here for finding the optimum capacitor position. This paper presents quasi-oppositional fast convergence evolutionary programming (QOFCEP), fast convergence evolutionary programming (FCEP), and evolutionary programming (EP) for the optimum location and sizing of shunt capacitors in the isolated microgrid (MG) for minimizing total real power loss throughout the day with and without the demand response program (DRP). The 33-node, 69-node, and 118-node isolated MGs have been studied to authenticate the efficacy of the suggested approach. Each MG includes small hydro power plants (SHPPs), solar PV plants (SPVPs), wind turbine generators (WTGs), diesel generators (DGs), and plug-in electric vehicles (PEVs).

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Section: Introductionmentioning

confidence: 99%

Optimal sizing and placement of capacitors in the isolated microgrid throughout the day considering the demand response program

Basu,

Jena,

Khan

et al. 2024

Front. Energy Res.

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“…Using the quadratic function to calculate the power generation cost of DGs is more suitable because the calculated cost for power generation will be closer to reality (Arif et al, 2017;Hamida et al, 2018;Dashtdar et al, 2021b;Dashtdar et al, 2022b). The appropriate allocation of DGs in the distribution system is a problem of optimization with both discrete and continuous variables.…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration and displacement of DG and EVs in distribution networks using a hybrid GA–SFLA multi-objective optimization algorithm

Ghadi,

Kotb,

Aboras

et al. 2023

Front. Energy Res.

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A combined algorithm for reconfiguring and placement of energy storage systems, electric vehicles, and distributed generation (DG) in a distribution network is presented in this paper. The impact of this technique on increasing the network’s resilience during critical periods is investigated, as well as improvements in the network’s technical and economic characteristics. The three objective functions in this regard are the network losses, voltage profile, and running costs, which include the costs of purchasing electrical energy from the upstream network and the devices used, as well as the cost of load shedding. In addition, the impacts of the presence of DG on power flow and the modeling of the problem’s objective function are examined. To solve the problem of reconfiguration and placement of a multi-objective distribution feeder, a genetic algorithm (GA) and shuffled frog leaping algorithm (SFLA) hybrid algorithm is used. The proposed GA–SFLA algorithm is used to solve the problem with changes in its structure and its combination in three stages. Finally, the proposed method is implemented on the 33-bus distribution network. The simulation results show that the proposed method has an effective performance in improving the considered objective functions and by establishing a suitable fit between the different objective functions based on the three-dimensional Pareto front. Moreover, it introduced a more optimized architecture with lower loss, lower operating costs, and greater reliability compared to other optimization algorithms.

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Feasibility assessment and optimal dispatch of multilateral transactions in deregulated power markets with distributed generations

Sreenivasulu

Balakrishna

2022

Electr Eng

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Reducing LMP and resolving the congestion of the lines based on placement and optimal size of DG in the power network using the GA-GSF algorithm

Cited by 13 publications

References 22 publications

Optimal sizing and placement of capacitors in the isolated microgrid throughout the day considering the demand response program

Optimal sizing and placement of capacitors in the isolated microgrid throughout the day considering the demand response program

Reconfiguration and displacement of DG and EVs in distribution networks using a hybrid GA–SFLA multi-objective optimization algorithm

Feasibility assessment and optimal dispatch of multilateral transactions in deregulated power markets with distributed generations

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