A New Hybrid PSOGSA-TVAC Algorithm for Transmission Line Congestion Management in Deregulated Environment

Sharma, Vatsala; Walde, Pratima; Siddiqui, Anwar Shahzad

doi:10.1109/spin.2019.8711773

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…A new algorithm with mixed time-varying acceleration coefficients of PSO and GSA was developed in the literature (Sharma et al, 2019). The cost of rescheduling will be reduced with the use of this algorithm.…”

Section: Approaches Based On Aimentioning

confidence: 99%

Congestion Management in Deregulated Power System: A Review

Sahoo,

Kumari,

Kumar

2022

INTERNATIONAL CONFERENCE ON POWER ELECTRONICS &Amp; SUSTAINABLE DEVELOPMENT (ICPESD)

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Restructuring has swept through all potential fields in recent decades, including the electric supply industry. Restructuring has resulted in significant changes, such as the fact that power is now a commodity and has become deregulated. In such a competitive industry, there are a plethora of participants. Overloading transmission networks or network congestion have come from the emergence of deregulated electricity systems. Congestion has significant consequences for electricity systems, including system failure. When transmission networks fail to transfer power in accordance with load demand, congestion occurs. Congestion management methods, which play a major part in today’s deregulated electricity systems, are used to address these issues. Furthermore, the open access transmission network has aggravated the issue of congestion. As a result, power system congestion management is critical to the power sector. The relevance of each proposed method or technique in relieving congestion and minimizing system operating expenses is reviewed in this paper using the work of various publications.

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Section: Approaches Based On Aimentioning

confidence: 99%

Congestion Management in Deregulated Power System: A Review

Sahoo,

Kumari,

Kumar

2022

INTERNATIONAL CONFERENCE ON POWER ELECTRONICS &Amp; SUSTAINABLE DEVELOPMENT (ICPESD)

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“…Literature [40] proposed a new hybrid algorithm of combined time-varying accelerating coefficients of particle swarm optimization and gravitational search algorithm. This algorithm will reduce the cost of rescheduling.…”

Section: Artificial Intelligence Approachesmentioning

confidence: 99%

Congestion Management in Power System—A Review

Riyaz

Upputuri

Kumar

2020

Lecture Notes in Electrical Engineering

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“…In previous studies, the output curtailment was determined to minimize the cost of an operation as well as the amount of curtailment of generators, and consequently the effectiveness was verified [12][13][14][15][16][17][18][19]. For instance, methods for determining the output curtailment rate were proposed to minimize the above objective functions based on quasi-optimization methods such as particle swarm optimization (PSO) and multi-objective particle swarm optimization (MOPSO) [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, methods for determining the output curtailment rate were proposed to minimize the above objective functions based on quasi-optimization methods such as particle swarm optimization (PSO) and multi-objective particle swarm optimization (MOPSO) [12][13][14]. Further, methods to minimize the amount of output curtailment and reduce the output adjustment cost by considering the effect of mitigating grid congestion through sensitivity analysis were proposed as well [15][16][17]. However, generators with low sensitivity were excluded from the curtailment operation.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, few papers have discussed a grid operation scheme assuming a meritorder scheme that curtailed thermal generators and REs in that order. However, the sensitivity analysis reported in the literature [15][16][17] is useful for reducing the amount of curtailment because the analysis can quantitatively evaluate the congestion mitigation effect of generators. In addition, categorizing the generators considering the results of the sensitivity analysis coupled with controlling the output in each group solves the problem of unfair output curtailment.…”

Section: Introductionmentioning

confidence: 99%

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Mitigation of Grid Congestion by Curtailment of Thermal Generators and Renewable Energies Based on Sensitivity Analysis

Tanno

Kaneko

Hayashi

et al. 2022

IEEJ Transactions Elec Engng

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Grid congestion is expected owing to the interconnection of massive renewable energies within the transmission system. Power system operators need to resolve the problem by controlling the output of thermal and renewable generators, such as curtailment, which should be the smallest possible for efficient utilization. Moreover, the equality of generation opportunities should be maintained among renewable energies. However, achieving the two objectives simultaneously is challenging, because the output curtailment effect on grid congestion in a loop system varies depending on its configuration. Further, the thermal generators are curtailed before renewable energies in the merit order scheme necessitating adjustments in the thermal generator output considering the renewable energy curtailment. This study proposed a method to determine the output curtailment ratio of thermal power and renewable energies employing sensitivity analysis, aiming to ensure equality, and maximize the power generation opportunities of renewable energies for the mitigation of grid congestion. The effectiveness of the proposed method was verified via numerical simulations using a power system model based on an actual power system in the northern Tohoku area of Japan. The results indicate that the proposed method can reduce the total amount of curtailment and improve the equality of generation opportunities.

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A New Hybrid PSOGSA-TVAC Algorithm for Transmission Line Congestion Management in Deregulated Environment

Cited by 8 publications

References 26 publications

Congestion Management in Deregulated Power System: A Review

Congestion Management in Deregulated Power System: A Review

Congestion Management in Power System—A Review

Mitigation of Grid Congestion by Curtailment of Thermal Generators and Renewable Energies Based on Sensitivity Analysis

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