Optimal Power Flow Solution Integrated with TCSC to Improved Voltage Profile and Losses Reduction in Power System Using Effective Intelligent Technique

One of the most important problems for energy management in power systems is optimal power flow (OPF).Typically, OPF takes into account both the equality and inequality constrictions and optimally modifies the electrical grid's control variables in order to minimize the different objective functions.In this study, a suggested cheetah optimizer-particle swarm optimization (CHO-PSO) approach is implemented for the best possible distribution of TCSC units in electrical power grids, to reduce total system power losses.Furthermore, the OPF problem of the power system with and without the TCSC device is solved using a modified Cheetah optimizer (CHO-PSO) algorithm.The CHO algorithm was recently developed as an effective optimization algorithm based on imitating particular cheetah hunting strategies.Basically, the proposed algorithm introduces the idea of leaving the prey and heading back home to avoid local optimal points.The significant benefit of the CHO method over the other metaheuristic methods is the CHO method's ability to function without the need for algorithm-specific parameters.Two test systems (standard IEEE 30-buses and the Iraqi power grid(IPG) are simulated with and without TCSC device to minimize two objective functions, including transmission active power loss and voltage deviations, while maintaining power balance constraints, voltage and the loading of transmission line limits, in addition to the physical boundaries of TCSC unit.The results are compared with some of the results of other algorithms that have been addressed in the latest literature.For the first system, without TCSC allocation and compared to the HFSS and HGS algorithms, the proposed CHO-PSO achieved a 0.2376 MW and 0.5793 reductions in power losses respectively.Additionally, compared to the HGS, the suggested CHO-PSO algorithm achieves a noteworthy reduction in voltage deviation from 0.1195p.uto 0.1013p.u.Similarly, with TCSC placement, 0.3144 MW less is achieved in power losses by the suggested CHO-PSO in comparison to the SSA.Furthermore, the suggested CHO-PSO is implemented for the best possible distribution of TCSC devices in transmission power systems, to reduce total system losses.Thus, the outcomes show that the suggested algorithm provides an excellent and efficient solution in terms of the power flow problem of electrical systems integrating FACTS units.

Publication Details

Journal
International journal of intelligent engineering and systems
Published
2024-08-19
DOI
https://doi.org/10.22266/ijies2024.1031.50
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
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article

Optimal Power Flow Solution Integrated with TCSC to Improved Voltage Profile and Losses Reduction in Power System Using Effective Intelligent Technique

International journal of intelligent engineering and systems
Energy Load and Power Forecasting
article

Optimal Power Flow Solution Integrated with TCSC to Improved Voltage Profile and Losses Reduction in Power System Using Effective Intelligent Technique

article en

Abstract

One of the most important problems for energy management in power systems is optimal power flow (OPF).Typically, OPF takes into account both the equality and inequality constrictions and optimally modifies the electrical grid's control variables in order to minimize the different objective functions.In this study, a suggested cheetah optimizer-particle swarm optimization (CHO-PSO) approach is implemented for the best possible distribution of TCSC units in electrical power grids, to reduce total system power losses.Furthermore, the OPF problem of the power system with and without the TCSC device is solved using a modified Cheetah optimizer (CHO-PSO) algorithm.The CHO algorithm was recently developed as an effective optimization algorithm based on imitating particular cheetah hunting strategies.Basically, the proposed algorithm introduces the idea of leaving the prey and heading back home to avoid local optimal points.The significant benefit of the CHO method over the other metaheuristic methods is the CHO method's ability to function without the need for algorithm-specific parameters.Two test systems (standard IEEE 30-buses and the Iraqi power grid(IPG) are simulated with and without TCSC device to minimize two objective functions, including transmission active power loss and voltage deviations, while maintaining power balance constraints, voltage and the loading of transmission line limits, in addition to the physical boundaries of TCSC unit.The results are compared with some of the results of other algorithms that have been addressed in the latest literature.For the first system, without TCSC allocation and compared to the HFSS and HGS algorithms, the proposed CHO-PSO achieved a 0.2376 MW and 0.5793 reductions in power losses respectively.Additionally, compared to the HGS, the suggested CHO-PSO algorithm achieves a noteworthy reduction in voltage deviation from 0.1195p.uto 0.1013p.u.Similarly, with TCSC placement, 0.3144 MW less is achieved in power losses by the suggested CHO-PSO in comparison to the SSA.Furthermore, the suggested CHO-PSO is implemented for the best possible distribution of TCSC devices in transmission power systems, to reduce total system losses.Thus, the outcomes show that the suggested algorithm provides an excellent and efficient solution in terms of the power flow problem of electrical systems integrating FACTS units.

International journal of intelligent engineering and systemsVol. 17(5)
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Openalex Percentile: Top 89%
Energy Load and Power Forecasting
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